Shift in word formation process of indonesian words
•
2 likes•1,086 views
This article aims at describing word formation rules, word formation shift on acronym, cliping, and blending, and productivity of word formation found in written language of bahasa Indonesia. The data were taken from selected newspapers and magazines published locally and nationally in Indonesia. The findings indicate that there are some shifts on word fomation rules of bahasa Indonesia especially in acronym, clipping, and blending. The most productive word formation includes initial word acronym, end-part word clipping and initial parts blending.
Report
Share
Report
Share
Download to read offline
Recommended
Word formation processes
Affixation involves adding prefixes, infixes, or suffixes to word roots or stems to form new words. There are two types of affixes: derivational affixes, which change a word's meaning and/or part of speech, and inflectional affixes, which provide grammatical information without changing a word's core meaning. Blending involves combining parts of two words to form a new word, like smog from smoke and fog. Compounding combines word roots to form new words that behave grammatically as single words, like schoolbus or brothers-in-law. Multi-word verbs consist of a verb and associated word like a preposition, adverb, adjective or noun, as in break
Morphology web
The document discusses key concepts in morphology including words, morphemes, and affixes. It defines a word as a sound or group of sounds that expresses an idea, and notes that orthographically a word is a group of letters separated by spaces. It distinguishes between word forms, which are the concrete representations of lexemes, and lexemes, which are the abstract representations. The document also defines bound and free morphemes, noting that bound morphemes like prefixes and suffixes must attach to other morphemes while free morphemes can stand alone. It provides examples of roots, stems, bases, prefixes, suffixes, and infixes.
Derivational suffixes
This document discusses rules for forming new words through derivational suffixes and prefixes in English. It explains that derivational suffixes usually change the word class and meaning of the base word, while prefixes typically do not change word class but often confer a negative meaning. Several examples of each are provided. The document then outlines spelling rules for determining whether letters like 'e' and 'y' are dropped or changed when suffixes are added. It notes exceptions to each rule and provides illustrative word examples.
Adding Vowel Suffixes
The document outlines three rules for adding vowel suffixes to words in English:
1. The 111 Doubling Rule specifies doubling the final consonant before adding a suffix if a one-syllable word ends in one consonant after one vowel.
2. The 211 Doubling Rule specifies doubling the final consonant before adding a suffix if a multi-syllable word with accent on last syllable ends in one consonant after one vowel.
3. The Silent e Rule specifies dropping the final silent e before adding a suffix.
Several common vowel suffixes and example words applying the rules are provided.
The formation of english words through derivation
This document discusses the formation of English nouns through various derivational suffixes, including -ion, -ty, -ment, -ness, -hood, -ance, -ence, -er/-or, and -ce. It provides examples of nouns formed from verbs, adjectives, and other nouns by adding these suffixes, along with definitions and example sentences for each new noun. The document aims to illustrate how new nouns can be derived in English morphology through the addition of affixes.
Derivational suffixes
This document discusses derivational suffixes in English and how they can modify the meaning of root words. It provides examples of common derivational suffixes like -ness, -ful, and -ize and how they change parts of speech when added to roots. The document also introduces the concept of a derivational paradigm, which is a set of related words composed of the same base morpheme plus different derivational affixes that can be added.
Roots prefixes suffixes
This document provides information about using root words, prefixes, and suffixes to help with spelling and determining the meaning of unfamiliar words. It defines root words, prefixes, and suffixes, and gives examples of how adding prefixes and suffixes to root words can create new words. The document also lists and gives examples of some common prefixes like "un", "dis", "mis", and suffixes like "ed", "ing", "ness", "able". The overall aim is to help students understand these word parts and how they can be used to expand vocabulary.
Prefixes and Suffixes
Prefixes and suffixes are sets of letters added to words to form new words. Prefixes are added to the beginning while suffixes are added to the end. Some common prefixes include pre-, inter-, mono-, un-, and re- which mean before, between, one/single, not, and back/again respectively. Suffixes can make words inflectional by changing grammar or derivational by changing meaning. Examples of suffixes include -ment, -ness, -ion, -er, -en, and -able. Rules for adding suffixes include changing y to i before certain suffixes and doubling final consonants. Prefixes and suffixes can be combined to derive new words like prearrangement, intercontinental, and unwilling
Recommended
Word formation processes
Affixation involves adding prefixes, infixes, or suffixes to word roots or stems to form new words. There are two types of affixes: derivational affixes, which change a word's meaning and/or part of speech, and inflectional affixes, which provide grammatical information without changing a word's core meaning. Blending involves combining parts of two words to form a new word, like smog from smoke and fog. Compounding combines word roots to form new words that behave grammatically as single words, like schoolbus or brothers-in-law. Multi-word verbs consist of a verb and associated word like a preposition, adverb, adjective or noun, as in break
Morphology web
The document discusses key concepts in morphology including words, morphemes, and affixes. It defines a word as a sound or group of sounds that expresses an idea, and notes that orthographically a word is a group of letters separated by spaces. It distinguishes between word forms, which are the concrete representations of lexemes, and lexemes, which are the abstract representations. The document also defines bound and free morphemes, noting that bound morphemes like prefixes and suffixes must attach to other morphemes while free morphemes can stand alone. It provides examples of roots, stems, bases, prefixes, suffixes, and infixes.
Derivational suffixes
This document discusses rules for forming new words through derivational suffixes and prefixes in English. It explains that derivational suffixes usually change the word class and meaning of the base word, while prefixes typically do not change word class but often confer a negative meaning. Several examples of each are provided. The document then outlines spelling rules for determining whether letters like 'e' and 'y' are dropped or changed when suffixes are added. It notes exceptions to each rule and provides illustrative word examples.
Adding Vowel Suffixes
The document outlines three rules for adding vowel suffixes to words in English:
1. The 111 Doubling Rule specifies doubling the final consonant before adding a suffix if a one-syllable word ends in one consonant after one vowel.
2. The 211 Doubling Rule specifies doubling the final consonant before adding a suffix if a multi-syllable word with accent on last syllable ends in one consonant after one vowel.
3. The Silent e Rule specifies dropping the final silent e before adding a suffix.
Several common vowel suffixes and example words applying the rules are provided.
The formation of english words through derivation
This document discusses the formation of English nouns through various derivational suffixes, including -ion, -ty, -ment, -ness, -hood, -ance, -ence, -er/-or, and -ce. It provides examples of nouns formed from verbs, adjectives, and other nouns by adding these suffixes, along with definitions and example sentences for each new noun. The document aims to illustrate how new nouns can be derived in English morphology through the addition of affixes.
Derivational suffixes
This document discusses derivational suffixes in English and how they can modify the meaning of root words. It provides examples of common derivational suffixes like -ness, -ful, and -ize and how they change parts of speech when added to roots. The document also introduces the concept of a derivational paradigm, which is a set of related words composed of the same base morpheme plus different derivational affixes that can be added.
Roots prefixes suffixes
This document provides information about using root words, prefixes, and suffixes to help with spelling and determining the meaning of unfamiliar words. It defines root words, prefixes, and suffixes, and gives examples of how adding prefixes and suffixes to root words can create new words. The document also lists and gives examples of some common prefixes like "un", "dis", "mis", and suffixes like "ed", "ing", "ness", "able". The overall aim is to help students understand these word parts and how they can be used to expand vocabulary.
Prefixes and Suffixes
Prefixes and suffixes are sets of letters added to words to form new words. Prefixes are added to the beginning while suffixes are added to the end. Some common prefixes include pre-, inter-, mono-, un-, and re- which mean before, between, one/single, not, and back/again respectively. Suffixes can make words inflectional by changing grammar or derivational by changing meaning. Examples of suffixes include -ment, -ness, -ion, -er, -en, and -able. Rules for adding suffixes include changing y to i before certain suffixes and doubling final consonants. Prefixes and suffixes can be combined to derive new words like prearrangement, intercontinental, and unwilling
Derivational and inflectional morphemes
Provide the explanation how words are formed by adding morpheme(s) and how the addition of morpheme affect the word (meaning or class). beside\s, this also provide the explanaton of kinds of derivational and inflectional mor[pheme
Morphology
The document discusses various aspects and types of words including their internal structure, meaning, and grammatical properties. It describes the different forms words can take such as simple or complex, and the classes words belong to including open-class content words and closed-class function words. The document also examines word formation through processes like affixation, compounding, conversion, and other morphological rules and categories including morphemes, roots, stems, inflection, and derivation.
Morphology (2)
Morphology refers to the study of how words are created in a language. There are two main word formation processes: inflection and derivation. Inflection involves changing the base form of a word through processes like adding suffixes to change the word's grammatical function. Derivation involves processes like compounding, blending, clipping, and affixation to form new words. Some common word formation processes in English include coinage, borrowing, compounding, blending, clipping, backformation, conversion, and affixation through the use of prefixes and suffixes.
Morphology derivation
Derivation is the formation of new words through the addition of affixes. English uses derivational affixes to change the grammatical category of words, such as from verb to noun. There are two types of derivational affixes: class 1 affixes typically change the phonology of the base word, while class 2 affixes are phonologically neutral. Complex derivation can change the grammatical category through multiple affixations. However, derivation is constrained and not all affixes can be added to all bases.
Derivation
- Derivation is the process of forming a new word from an existing word through the addition of affixes like -ness or un-. This contrasts with inflection which produces grammatical variants of a word without changing its meaning.
- Derivational affixes change the part of speech of the word and often its meaning, while inflectional affixes do not change the part of speech or meaning. Examples of English derivational suffixes and the changes they produce are provided.
- Derivation typically results in a greater change in meaning compared to inflection and often changes the grammatical category of the root word. It produces new lexemes while inflection only produces new word forms.
Words and lexemes ppt
The document defines key linguistic terms:
- A word is the smallest unit that can stand alone when pronounced, consisting of either a single morpheme like "rock" or multiple morphemes like "rocks".
- A lexeme is a set of forms taken by a single word, like "run", "runs", "ran", and "running" which are all forms of the lexeme "RUN".
- A morpheme is the smallest unit of meaning, for example "cat" and "-s" in "cats" where "cat" means the animal and "-s" indicates plural.
Words as types and words as tokens (Morphology)
The document discusses the distinction between words as types and words as tokens. It explains that a token is an individual occurrence of a type. While sentences are composed of word tokens, dictionaries actually list word types, as it would be absurd to have separate entries for each occurrence of the same word. The distinction between a type and its tokens is an ontological one, with types being abstract and unique, while tokens are concrete particular instances.
Hidden markov model based part of speech tagger for sinhala language
In this paper we present a fundamental lexical semantics of Sinhala language and a Hidden Markov Model (HMM) based Part of Speech (POS) Tagger for Sinhala language. In any Natural Language processing task, Part of Speech is a very vital topic, which involves analysing of the construction, behaviour and the dynamics of the language, which the knowledge could utilized in computational linguistics analysis and automation applications. Though Sinhala is a morphologically rich and agglutinative language, in which words are inflected with various grammatical features, tagging is very essential for further analysis of the language. Our research is based on statistical based approach, in which the tagging process is done by computing the tag sequence probability and the word-likelihood probability from the given corpus, where the linguistic knowledge is automatically extracted from the annotated corpus. The current tagger could reach more than 90% of accuracy for known words.
Dynamic Construction of Telugu Speech Corpus for Voice Enabled Text Editor
In recent decades speech interactive systems have gained increasing importance. Performance of an ASR system mainly depends on the availability of large corpus of speech. The conventional method of building a large vocabulary speech recognizer for any language uses a top-down approach to speech. This approach requires large speech corpus with sentence or phoneme level transcription of the speech utterances. The transcriptions must also include different speech order so that the recognizer can build models for all the sounds present. But, for Telugu language, because of its complex nature, a very large, well annotated speech database is very difficult to build. It is very difficult, if not impossible, to cover all the words of any Indian language, where each word may have thousands and millions of word forms. A significant part of grammar that is handled by syntax in English (and other similar languages) is handled within morphology in Telugu. Phrases including several words (that is, tokens) in English would be mapped on to a single word in Telugu.Telugu language is phonetic in nature in addition to rich in morphology. That is why the speech technology developed for English cannot be applied to Telugu language. This paper highlights the work carried out in an attempt to build a voice enabled text editor with capability of automatic term suggestion. Main claim of the paper is the recognition enhancement process developed by us for suitability of highly inflecting, rich morphological languages. This method results in increased speech recognition accuracy with very much reduction in corpus size. It also adapts Telugu words to the database dynamically, resulting in growth of the corpus.
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
The availability of lexical resources is huge to accelerate and simplify the sentiment analysis in English. In
Arabic, there are few resources and these resources are not comprehensive. Most of the current research
efforts for constructing Arabic Sentiment Lexicon (ASL) depend on a large number of lexical entities.
However, the coverage of all Arabic sentiment expressions can be applied using refined regular
expressions rather than a large number of lexical entities. This paper presents an ASL that more
comprehensive than the existing lexicons, for covering many expressions with different dialects including
Franco-Arabic, and in the same time more compact. Also, this paper shows how to integrate different
lexicons and to refine them. To enrich lexical entries with very robust morphological syntactical
information, regular expressions, the weight of sentiment polarity and n-gram terms have been augmented
to each
Prep Teachers SSP Handbook 2015
Handbook for Prep (Foundation) Teachers using SSP.
Download in the Member's Area.
www.wiringbrains.com
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
The availability of lexical resources is huge to accelerate and simplify the sentiment analysis in English. In Arabic, there are few resources and these resources are not comprehensive. Most of the current research efforts for constructing Arabic Sentiment Lexicon (ASL) depend on a large number of lexical entities. However, the coverage of all Arabic sentiment expressions can be applied using refined regular expressions rather than a large number of lexical entities. This paper presents an ASL that more comprehensive than the existing lexicons, for covering many expressions with different dialects including Franco-Arabic, and in the same time more compact. Also, this paper shows how to integrate different lexicons and to refine them. To enrich lexical entries with very robust morphological syntactical information, regular expressions, the weight of sentiment polarity and n-gram terms have been augmented to each
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...
The Universal Networking Language (UNL) deals with the communication across nations of different languages and involves with many different related discipline such as linguistics, epistemology, computer science etc. It helps to overcome the language barrier among people of different nations to solve problems emerging from current globalization trends and geopolitical interdependence. We are working to include Bangla language in the UNL system so that Bangla language can be converted to UNL expressions. As a part of this process currently we are working on Bangla Consonant Ended Verb Roots and trying to develop lexical or dictionary entries for the Consonant Ended Verb Roots. In this paper, we have presented our work by describing Bangla verb, Verb root, Verbal Inflections and then finally showed the dictionary entries for the consonant ended roots.
Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes
Speech recognition applications are becoming common and useful in this day and age as many of the modern devices are designed and produced user-friendly for the convenience of general public. Speaking/communicating directly with the machine to achieve desired objectives make usage of modern devices easier and convenient. Although may interactive software applications are available, the use of these applications is limited due to language barriers. Hence development of speech recognition systems in local languages will help anyone to make use of this technological advancement. In this paper we discuss the results of the Nasal phonetic class wise speech recognition performance of Malayalam language
Cog5 lecppt chapter09
This document provides a summary of key concepts from Chapter 9 of an introductory linguistics textbook. It covers the following topics in 3 sentences or less each:
The organization of language follows a hierarchy from sentences composed of words made up of morphemes and phonemes. Phonology involves the production and perception of speech sounds determined by voicing, manner of articulation, and place of articulation. Syntax establishes rules for acceptable word combinations through phrase structure and generativity to produce an infinite number of sentences from a finite vocabulary.
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Abstract—Now-a-days hundreds of millions of people of
almost all levels of education and attitudes from different
country communicate with each other for different
purposes and perform their jobs on internet or other
communication medium using various languages. Not all
people know all language; therefore it is very difficult to
communicate or works on various languages. In this
situation the computer scientist introduce various inter
language translation program (Machine translation). UNL
is such kind of inter language translation program. One of
the major problem of UNL is identified a name from a
sentence, which is relatively simple in English language,
because such entities start with a capital letter. In Bangla
we do not have concept of small or capital letters. Thus
we find difficulties in understanding whether a word is a
proper noun or not. Here we have proposed analysis rules
to identify proper noun from a sentence and established
post converter which translate the name entity from
Bangla to UNL. The goal is to make possible Bangla
sentence conversion to UNL and vice versa. UNL system
prove that the theoretical analysis of our proposed system
able to identify proper noun from Bangla sentence and
produce relative Universal word for UNL.
Lecture 3 dr rachel edita roxas
The document discusses research on developing language learning applications in the Philippines using computational linguistics and language data resources. It describes building corpora and lexical resources for several Philippine languages, as well as tools for analyzing and accessing the data. Applications for teaching include tools for reading comprehension, composition writing, and detecting code switching.
presentation
This document summarizes a doctoral oral presentation on the development of an automatic diacritic restoration system for Standard Yoruba digital text. The presentation outlines the background and problem statement, objectives, methodology, and results of the research. Key points include:
1) The research aims to develop a system to automatically restore diacritics (tone marks and dots) to digitized Yoruba text where they are missing or partially present.
2) The methodology involves collecting Yoruba texts, analyzing features critical for restoration, formulating computational models using machine learning techniques, and implementing and evaluating a prototype system.
3) Results show that character-based restoration of dots using memory-based learning achieved over
EXTENDED ESSAY
This document provides an overview of a student paper comparing language development in children to second language acquisition in adults. It discusses various theories of both language development and second language acquisition. The key conclusion is that while both are influenced by internal and external factors, the factors differ and are more supportive for language development in children. As adults, the external factors and need that support language development in children are not as strong, making second language acquisition more difficult.
Outlining Bangla Word Dictionary for Universal Networking Language
This document discusses outlining a Bangla word dictionary for the Universal Networking Language (UNL) system. UNL is an artificial language that allows computers to process information across languages. The authors have been working to include Bangla in the UNL system. They describe the format of a UNL dictionary entry, which includes the headword (Bangla word), universal word, and grammatical attributes. Simply searching the UNL knowledge base for universal words is not effective, so they propose finding universal words based on existing translations of Bangla texts to English and their UNL expressions. The goal is to develop a Bangla dictionary to facilitate converting Bangla sentences to UNL format.
CRITICAL JOURNAL REVIEW
This journal analyzes the sound changes that occur to English loanwords adopted into the Indonesian vocabulary. The researcher analyzed loanwords from a video called "Kopi Indonesia dan Warga Muslim di AS" to identify sound changes. Five sound changing processes were identified: syncope, paragog, monophthongization, assimilation, and dissimilation. These changes mostly affected vowels due to differences between the Indonesian and English vowel systems. For consonants, clusters and final consonants sometimes changed to be easier for Indonesians to pronounce. The journal concludes that English loanwords in Indonesian resemble the orthographic system rather than the phonological system because Indonesians pronounce words as they are spelled.
Data Driven Learning: Tips & Tools
A workshop given to the participants of The Professional Development Workshop Series, an initiative of the Department of English, TNU School of Foreign Languages. The initiative aims to create a forum for professionals to share their teaching practices and research outcomes.
More Related Content
Viewers also liked
Derivational and inflectional morphemes
Provide the explanation how words are formed by adding morpheme(s) and how the addition of morpheme affect the word (meaning or class). beside\s, this also provide the explanaton of kinds of derivational and inflectional mor[pheme
Morphology
The document discusses various aspects and types of words including their internal structure, meaning, and grammatical properties. It describes the different forms words can take such as simple or complex, and the classes words belong to including open-class content words and closed-class function words. The document also examines word formation through processes like affixation, compounding, conversion, and other morphological rules and categories including morphemes, roots, stems, inflection, and derivation.
Morphology (2)
Morphology refers to the study of how words are created in a language. There are two main word formation processes: inflection and derivation. Inflection involves changing the base form of a word through processes like adding suffixes to change the word's grammatical function. Derivation involves processes like compounding, blending, clipping, and affixation to form new words. Some common word formation processes in English include coinage, borrowing, compounding, blending, clipping, backformation, conversion, and affixation through the use of prefixes and suffixes.
Morphology derivation
Derivation is the formation of new words through the addition of affixes. English uses derivational affixes to change the grammatical category of words, such as from verb to noun. There are two types of derivational affixes: class 1 affixes typically change the phonology of the base word, while class 2 affixes are phonologically neutral. Complex derivation can change the grammatical category through multiple affixations. However, derivation is constrained and not all affixes can be added to all bases.
Derivation
- Derivation is the process of forming a new word from an existing word through the addition of affixes like -ness or un-. This contrasts with inflection which produces grammatical variants of a word without changing its meaning.
- Derivational affixes change the part of speech of the word and often its meaning, while inflectional affixes do not change the part of speech or meaning. Examples of English derivational suffixes and the changes they produce are provided.
- Derivation typically results in a greater change in meaning compared to inflection and often changes the grammatical category of the root word. It produces new lexemes while inflection only produces new word forms.
Words and lexemes ppt
The document defines key linguistic terms:
- A word is the smallest unit that can stand alone when pronounced, consisting of either a single morpheme like "rock" or multiple morphemes like "rocks".
- A lexeme is a set of forms taken by a single word, like "run", "runs", "ran", and "running" which are all forms of the lexeme "RUN".
- A morpheme is the smallest unit of meaning, for example "cat" and "-s" in "cats" where "cat" means the animal and "-s" indicates plural.
Words as types and words as tokens (Morphology)
The document discusses the distinction between words as types and words as tokens. It explains that a token is an individual occurrence of a type. While sentences are composed of word tokens, dictionaries actually list word types, as it would be absurd to have separate entries for each occurrence of the same word. The distinction between a type and its tokens is an ontological one, with types being abstract and unique, while tokens are concrete particular instances.
Viewers also liked (7)
Similar to Shift in word formation process of indonesian words
Hidden markov model based part of speech tagger for sinhala language
In this paper we present a fundamental lexical semantics of Sinhala language and a Hidden Markov Model (HMM) based Part of Speech (POS) Tagger for Sinhala language. In any Natural Language processing task, Part of Speech is a very vital topic, which involves analysing of the construction, behaviour and the dynamics of the language, which the knowledge could utilized in computational linguistics analysis and automation applications. Though Sinhala is a morphologically rich and agglutinative language, in which words are inflected with various grammatical features, tagging is very essential for further analysis of the language. Our research is based on statistical based approach, in which the tagging process is done by computing the tag sequence probability and the word-likelihood probability from the given corpus, where the linguistic knowledge is automatically extracted from the annotated corpus. The current tagger could reach more than 90% of accuracy for known words.
Dynamic Construction of Telugu Speech Corpus for Voice Enabled Text Editor
In recent decades speech interactive systems have gained increasing importance. Performance of an ASR system mainly depends on the availability of large corpus of speech. The conventional method of building a large vocabulary speech recognizer for any language uses a top-down approach to speech. This approach requires large speech corpus with sentence or phoneme level transcription of the speech utterances. The transcriptions must also include different speech order so that the recognizer can build models for all the sounds present. But, for Telugu language, because of its complex nature, a very large, well annotated speech database is very difficult to build. It is very difficult, if not impossible, to cover all the words of any Indian language, where each word may have thousands and millions of word forms. A significant part of grammar that is handled by syntax in English (and other similar languages) is handled within morphology in Telugu. Phrases including several words (that is, tokens) in English would be mapped on to a single word in Telugu.Telugu language is phonetic in nature in addition to rich in morphology. That is why the speech technology developed for English cannot be applied to Telugu language. This paper highlights the work carried out in an attempt to build a voice enabled text editor with capability of automatic term suggestion. Main claim of the paper is the recognition enhancement process developed by us for suitability of highly inflecting, rich morphological languages. This method results in increased speech recognition accuracy with very much reduction in corpus size. It also adapts Telugu words to the database dynamically, resulting in growth of the corpus.
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
The availability of lexical resources is huge to accelerate and simplify the sentiment analysis in English. In
Arabic, there are few resources and these resources are not comprehensive. Most of the current research
efforts for constructing Arabic Sentiment Lexicon (ASL) depend on a large number of lexical entities.
However, the coverage of all Arabic sentiment expressions can be applied using refined regular
expressions rather than a large number of lexical entities. This paper presents an ASL that more
comprehensive than the existing lexicons, for covering many expressions with different dialects including
Franco-Arabic, and in the same time more compact. Also, this paper shows how to integrate different
lexicons and to refine them. To enrich lexical entries with very robust morphological syntactical
information, regular expressions, the weight of sentiment polarity and n-gram terms have been augmented
to each
Prep Teachers SSP Handbook 2015
Handbook for Prep (Foundation) Teachers using SSP.
Download in the Member's Area.
www.wiringbrains.com
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
The availability of lexical resources is huge to accelerate and simplify the sentiment analysis in English. In Arabic, there are few resources and these resources are not comprehensive. Most of the current research efforts for constructing Arabic Sentiment Lexicon (ASL) depend on a large number of lexical entities. However, the coverage of all Arabic sentiment expressions can be applied using refined regular expressions rather than a large number of lexical entities. This paper presents an ASL that more comprehensive than the existing lexicons, for covering many expressions with different dialects including Franco-Arabic, and in the same time more compact. Also, this paper shows how to integrate different lexicons and to refine them. To enrich lexical entries with very robust morphological syntactical information, regular expressions, the weight of sentiment polarity and n-gram terms have been augmented to each
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...
The Universal Networking Language (UNL) deals with the communication across nations of different languages and involves with many different related discipline such as linguistics, epistemology, computer science etc. It helps to overcome the language barrier among people of different nations to solve problems emerging from current globalization trends and geopolitical interdependence. We are working to include Bangla language in the UNL system so that Bangla language can be converted to UNL expressions. As a part of this process currently we are working on Bangla Consonant Ended Verb Roots and trying to develop lexical or dictionary entries for the Consonant Ended Verb Roots. In this paper, we have presented our work by describing Bangla verb, Verb root, Verbal Inflections and then finally showed the dictionary entries for the consonant ended roots.
Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes
Speech recognition applications are becoming common and useful in this day and age as many of the modern devices are designed and produced user-friendly for the convenience of general public. Speaking/communicating directly with the machine to achieve desired objectives make usage of modern devices easier and convenient. Although may interactive software applications are available, the use of these applications is limited due to language barriers. Hence development of speech recognition systems in local languages will help anyone to make use of this technological advancement. In this paper we discuss the results of the Nasal phonetic class wise speech recognition performance of Malayalam language
Cog5 lecppt chapter09
This document provides a summary of key concepts from Chapter 9 of an introductory linguistics textbook. It covers the following topics in 3 sentences or less each:
The organization of language follows a hierarchy from sentences composed of words made up of morphemes and phonemes. Phonology involves the production and perception of speech sounds determined by voicing, manner of articulation, and place of articulation. Syntax establishes rules for acceptable word combinations through phrase structure and generativity to produce an infinite number of sentences from a finite vocabulary.
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Abstract—Now-a-days hundreds of millions of people of
almost all levels of education and attitudes from different
country communicate with each other for different
purposes and perform their jobs on internet or other
communication medium using various languages. Not all
people know all language; therefore it is very difficult to
communicate or works on various languages. In this
situation the computer scientist introduce various inter
language translation program (Machine translation). UNL
is such kind of inter language translation program. One of
the major problem of UNL is identified a name from a
sentence, which is relatively simple in English language,
because such entities start with a capital letter. In Bangla
we do not have concept of small or capital letters. Thus
we find difficulties in understanding whether a word is a
proper noun or not. Here we have proposed analysis rules
to identify proper noun from a sentence and established
post converter which translate the name entity from
Bangla to UNL. The goal is to make possible Bangla
sentence conversion to UNL and vice versa. UNL system
prove that the theoretical analysis of our proposed system
able to identify proper noun from Bangla sentence and
produce relative Universal word for UNL.
Lecture 3 dr rachel edita roxas
The document discusses research on developing language learning applications in the Philippines using computational linguistics and language data resources. It describes building corpora and lexical resources for several Philippine languages, as well as tools for analyzing and accessing the data. Applications for teaching include tools for reading comprehension, composition writing, and detecting code switching.
presentation
This document summarizes a doctoral oral presentation on the development of an automatic diacritic restoration system for Standard Yoruba digital text. The presentation outlines the background and problem statement, objectives, methodology, and results of the research. Key points include:
1) The research aims to develop a system to automatically restore diacritics (tone marks and dots) to digitized Yoruba text where they are missing or partially present.
2) The methodology involves collecting Yoruba texts, analyzing features critical for restoration, formulating computational models using machine learning techniques, and implementing and evaluating a prototype system.
3) Results show that character-based restoration of dots using memory-based learning achieved over
EXTENDED ESSAY
This document provides an overview of a student paper comparing language development in children to second language acquisition in adults. It discusses various theories of both language development and second language acquisition. The key conclusion is that while both are influenced by internal and external factors, the factors differ and are more supportive for language development in children. As adults, the external factors and need that support language development in children are not as strong, making second language acquisition more difficult.
Outlining Bangla Word Dictionary for Universal Networking Language
This document discusses outlining a Bangla word dictionary for the Universal Networking Language (UNL) system. UNL is an artificial language that allows computers to process information across languages. The authors have been working to include Bangla in the UNL system. They describe the format of a UNL dictionary entry, which includes the headword (Bangla word), universal word, and grammatical attributes. Simply searching the UNL knowledge base for universal words is not effective, so they propose finding universal words based on existing translations of Bangla texts to English and their UNL expressions. The goal is to develop a Bangla dictionary to facilitate converting Bangla sentences to UNL format.
CRITICAL JOURNAL REVIEW
This journal analyzes the sound changes that occur to English loanwords adopted into the Indonesian vocabulary. The researcher analyzed loanwords from a video called "Kopi Indonesia dan Warga Muslim di AS" to identify sound changes. Five sound changing processes were identified: syncope, paragog, monophthongization, assimilation, and dissimilation. These changes mostly affected vowels due to differences between the Indonesian and English vowel systems. For consonants, clusters and final consonants sometimes changed to be easier for Indonesians to pronounce. The journal concludes that English loanwords in Indonesian resemble the orthographic system rather than the phonological system because Indonesians pronounce words as they are spelled.
Data Driven Learning: Tips & Tools
A workshop given to the participants of The Professional Development Workshop Series, an initiative of the Department of English, TNU School of Foreign Languages. The initiative aims to create a forum for professionals to share their teaching practices and research outcomes.
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
More than hundreds of millions of people of almost all levels of education and attitudes from different country communicate with each other for different purposes using various languages. Machine translation is highly demanding due to increasing the usage of web based Communication. One of the major problem of Bengali translation is identified a naming word from a sentence, which is relatively simple in English language, because such entities start with a capital letter. In Bangla we do not have concept of small or capital letters and there is huge no. of different naming entity available in Bangla. Thus we find difficulties in understanding whether a word is a naming word or not. Here we have introduced a new approach to identify naming word from a Bengali sentence for machine translation system without storing huge no. of naming entity in word dictionary. The goal is to make possible Bangla sentence conversion with minimal storing word in dictionary.
Welcome to International Journal of Engineering Research and Development (IJERD)
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
More than hundreds of millions of people of almost all levels of education and attitudes from
different country communicate with each other for different using various languages. Machine
translation is highly demanding due to increasing the usage of web based Communication. One of
the major problem of Bengali translation is identified a naming word from a sentence, which is
relatively simple in English language, because such entities start with a capital letter. In Bangla we
do not have concept of small or capital letters and there is huge no. of different naming entity
available in Bangla. Thus we find difficulties in understanding whether a word is a naming word
(proper noun) or not. Here we have introduced a new approach to identify naming word from a
Bengali sentence for UNL without storing huge no. of naming entity in word dictionary. The goal is
to make possible Bangla sentence conversion to UNL and vice versa with minimal storing word in
dictionary.
International Journal on Natural Language Computing (IJNLC) Vol. 4, No.2,Apri...
Building
dialogues systems
interaction
has recently gained considerable
attention, but most of the
resourc
es and systems built so far are
tailored to
English and other Indo
-
European languages. The need
for designing
systems for
other languages is increasing such as Arabic language.
For this reasons, there
are more int
erest for Arabic dialogue acts classification
task because it
a key player in Arabic language
under
standing
to
bu
ilding this systems
.
This paper surveys
different techniques
for dialogue acts classification
for Arabic.
W
e describe the
main existing techniques for utterances segmentations and
classification, annotation schemas, and
test corpora for Arabic
dialogues understanding
that have introduced
in the literature
Generative grammar power point presentation,, ulfa
Generative-Transformational Grammar (GTG) has rules that can generate an infinite number of grammatically correct sentences from a finite set of rules. GTG reveals how superficially different sentences are related and how superficially similar sentences differ. While some argue GTG is too complex for language teaching, others believe it can guide teaching from simple to complex structures. GTG principles like starting with kernel sentences and using phrase structure rules can help teachers determine sentence difficulty and create exercises for students to practice generating sentences. Overall, understanding GTG's rules for sentence production can benefit both teachers and students in language learning.
Similar to Shift in word formation process of indonesian words (20)
Hidden markov model based part of speech tagger for sinhala language
Hidden markov model based part of speech tagger for sinhala language
Dynamic Construction of Telugu Speech Corpus for Voice Enabled Text Editor
Dynamic Construction of Telugu Speech Corpus for Voice Enabled Text Editor
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
FURTHER INVESTIGATIONS ON DEVELOPING AN ARABIC SENTIMENT LEXICON
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...
Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes
Automatic Speech Recognition of Malayalam Language Nasal Class Phonemes
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Design Analysis Rules to Identify Proper Noun from Bengali Sentence for Univ...
Outlining Bangla Word Dictionary for Universal Networking Language
Outlining Bangla Word Dictionary for Universal Networking Language
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
Welcome to International Journal of Engineering Research and Development (IJERD)
Welcome to International Journal of Engineering Research and Development (IJERD)
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
A New Approach: Automatically Identify Naming Word from Bengali Sentence for ...
International Journal on Natural Language Computing (IJNLC) Vol. 4, No.2,Apri...
International Journal on Natural Language Computing (IJNLC) Vol. 4, No.2,Apri...
Generative grammar power point presentation,, ulfa
Generative grammar power point presentation,, ulfa
More from Rusdi Noor Rosa
Konjungsi koordinatif dan subordinatif lintas bahasa
The book, entitled "Konjungsi Koordinatif dan Subordinatif Lintas Bahasa" is a combination of research results and readings on conjunctions contained in several languages. The languages studied in this book are English, bahasa Indonesia, and bahasa Minangkabau. This book pressents a number of syntactic and semantic facts relating to coordinate and subordinate conjunctions used in the three languages. This book, therefore, is very useful for language reviewers, language teachers, language learners, and language observers to see the similarities and differences of cross-language conjunctions. This book may also serve as a reference for conducting studies on conjunctions.
Understanding structure and written expression in TOEFL
This presentation contains a strategy to answer the structure and written expression questions in TOEFL.
Tipe eufimisme dalam cerita rakyat Minangkabau
In every culture, there are certain things that are not supposed to be speakable or mentioned directly. A number of words are labeled as frivolous, vulgar, or at least inconsiderate. But in communication, for better maintaining social relationship and exchanging ideas, people have to resort to a kind of language which is known as euphemism. This study is aimed at finding out types of euphemism used in the stories of Minangkabau folklore. This folklore is written in Indonesian language, but the idea of the stories reflects the social life of Minangkabau society. The data were taken from 19 stories of Minangkabau folklore written by Navis, A. A. The result of this study shows that conscious, positive euphemism is the type of euphemism mostly used in the stories. The result of this study also shows that euphemism is strongly influenced by culture. A particular expression needs to be euphemized in one culture may be a common expression in other cultures which, therefore, does not need to be euphemized.
Refusal strategies used by male and female sellers at Pasar Raya Padang
Male and female sellers at Pasar Raya Padang in Indonesia were found to use different refusal strategies when buyers made offers on products. Male sellers most frequently used non-performative statements, which implicitly refused offers in a direct manner. In contrast, female sellers preferred to refuse offers indirectly by most often using excuses, reasons, or explanations. The study analyzed recorded conversations between sellers and buyers to identify the strategies used by gender.
Using translog to investigate self correctionsin translation
This article is a pilot study using an exploratory case study (Berg, 2001) as a method to study the English into Indonesian translation process done by the student-translators. Translog software (Jakobsen, 1999; Jakobsen & Schou, 1999) was used as an instrument to investigate self-corrections during the translation process. This study takes two students of Master Degree Program of Linguistics Department majoring translation studies at University of Sumatera Utara without any professional experience on translation business. The participant selection criteria also consider linguistic competence including Test of Bahasa Indonesia proficiency (UKBI), Test of English proficiency (TOEFL), and Test of typing speed by using TQ (TypingQueen) typing test. The participants (the student translators) translated the English text of 310 words into Bahasa Indonesia (their native language). The translations processses are recorded by using Translog and the use of online dictionaries and resources is allowed. This study found seven types of self-corrections among which word deletion (WD) is the most frequently used. The finding of this pilot study is expected to give clues to the contribution of self-corrections to the quality of the translation product.
Metafunctional shifts in the Translation of Student and Professional Translators
The involvement of linguistics theories in translation studies in the recent years that becomes more and more obvious since they can replace the intuition of the translator to solve their translation problem provides an opportunity to explore the best translation practice. One of linguistics theories concerning with the translation practice is systemic functional linguistics (SFL) which views grammar as a resource for making meaning. This research focused on analyzing the translation product using an SFL metafunction theory involving student and professional translators. In particular, this research aimed at finding out how the student translators and professional translators shift transitivity, mood, and theme elements in the translation process. This research was a qualitative research using a content analysis method. The participants of this research were 5 student translators and 5 professional translators who were asked to translate two history texts composing of around 240-word long from English into Bahasa Indonesia. The readability of the source texts was measured with the help of SMOG readability formula. The data were collected using Translog and retrospective questionnaire. Based on the data analysis, it was found that (i) the professional translators did metafunctional shifts more frequently than did the student translators; and (ii) the shifts done by the professional translators paid attention to how the meaning is kept (inter-strata shifts), while the student translators concerned with the form of the shifts (intra-strata shifts).
Pauses by student and professional translators
Translation as a process of meaning making activity requires a cognitive process one of which is realized in a pause, a temporary stop or a break indicating doing other than typing activities in a certain period of translation process. Scholars agree that pauses are an indicator of cognitive process without which there will never be any translation practices. Despite such agreement, pauses are debatable as well, either in terms of their length or in terms of the activities managed by a translator while taking pauses. This study, in particular, aims at finding out how student translators and professional translators managed the pauses in a translation process. This was a descriptive research taking two student translators and two professional translators as the participants who were asked to translate a text from English into bahasa Indonesia. The source text (ST) was a historical recount text entitled ‘Early History of Yellowstone National Park’ downloaded from http://www.nezperce.com/yelpark9.html composed of 230-word long from English into bahasa Indonesia. The data were collected using Translog protocols, think aloud protocols (TAPs) and screen recording. Based on the data analysis, it was found that student translators took the longest pauses in the drafting phase spent to solve the problems related to finding out the right equivalent for the ST words or terms and to solve the difficulties encountered in encoding their ST understanding in the TL; meanwhile, professional translators took the longest pauses in the pos-drafting phase spent to ensure whether their TT had been natural and whether their TT had corresponded to the prevailing grammatical rules of the TL.
Applying metaphor in writing English scientific texts
Most of English texts written by Indonesian students do not reflect the characteristics of English written text, even their texts resemble spoken texts conveyed through writing. A written text should be different from a spoken text for their different characteristics. The complexity of grammar in clause constructions of written texts may serve as the core distinguishing factor between the two kinds of texts. However, the question arises about how complex or how complicated the written text grammar is. This article is aimed at applying the concept of systemic functional linguistics-based metaphor (SFL-based metaphor) to distinguish a written text from a spoken text. In particular, this article applies the SFL-based metaphor concept in improving the dissertation proposal texts of the students. The application of the SFL-based metaphor concept is related to the lexical density of a clause through which a characteristic of a written text is generated. The realization of lexical density should give a credit to nominalization as a technique of reducing the number of clauses in a written text. Furthermore, a written text is closely related to a scientific text taking academicians including students, teachers, and lecturers as the readers. The data were 10 dissertation proposals written by the students of Linguistics Doctoral Program at the University of Sumtera Utara some of which are presented in this article to demonstrate the process of applying the SFL-based metaphor in improving the texts. Applying this concept is particularly helpful for those in the writing process of their final projects at universities.
Understanding Experiential Function of Language
These slides introduce the basic understanding of experiential functions of language. Besides, some examples of simple analysis of clauses based on their transitivity elements were presented.
Analisis multimodal pada iklan sunsilk
Makalah ini bertujuan untuk menganalisis iklan sunsilk nutrien sampo ginseng (SNSG) yang berbentuk audiovisual. Analisis dalam makalah ini menggunakan pendekatan semiotik yang difokuskan kepada multimodal sistem yang meliputi aspek linguistik, visual, audio, gestural, dan letak (Anstey dan Bull 2010; Bateman dan Schmidt, 2012; dan Chandler, 2007). Secara lebih khusus, analisis linguistik dan visual dilakukan dengan menggunakan teori Cheong (2004). Hasil analisis mengungkapkan bahwa kelima sistem multimodal ini terintegrasi di dalam iklan ini. Berkaitan dengan metafungsi bahasa, pada fungsi eksperiensial, penggunaan proses material sangat dominan (83,33%). Pada fungsi antarpersona, seluruh klausa menggunakan sistem mood deklaratif (100%). Sedangkan pada fungsi tekstual, tema tak bermarkah (TTM) mendominasi jenis tema yang digunakan (66,67%). Berkaitan dengan struktur generik iklan, unsur Penambah dan Informasi Nomor dan Tempat pemesanan tidak dijumpai di dalam unsur generik iklan ini.
The concept of analytical exposition text - meeting 3
The document discusses the generic structure and features of analytical exposition text. It explains that the purpose is to persuade readers of an idea or position. The generic structure includes a thesis with an opening remark, position, and preview of arguments. It then presents arguments with a point and elaboration, before concluding with a reiteration of the thesis. Lexicogrammatical features include using simple present tense, relational processes, causal conjunctions, and nominalization.
Metaphor as a Means to Write a Good English Text
This document discusses using metaphor as a means to write good English written texts. It explains that written texts have characteristics like lexical density and more condensed clauses compared to spoken texts. Metaphor, according to systemic functional linguistics, involves using language in unconventional but meaningful ways. Nominalization is discussed as a technique for reducing clauses and increasing lexical density through metaphor. Examples demonstrate how clauses from spoken language can be reformulated into a single written clause using nominalization. The document provides steps for applying nominalization to distinguish written from spoken language.
Adjective Clause and Analytical Exposition Text
Commercial banks provide various services like accepting savings deposits and providing loans to individuals and small businesses, while central banks provide loans to larger institutions and help implement monetary policies; having a current bank account allows customers to pay bills using checks without carrying large amounts of cash. Central banks in different countries, like the Bank of England and Bank of Indonesia, play an important role in formulating monetary policies for their respective nations.
Arguments in an Analytical Exposition Text
Argument is a core of an analytical exposition text because through which the success of the text can be measured.
Analytical vs Hortatory
Analytical and Hortatory should not be confusing. These slides talk about how the two text types are obviously different.
Analisis multi modal snsg
Makalah ini bertujuan untuk menganalisis iklan sunsilk nutrien sampo ginseng (SNSG) yang berbentuk audiovisual. Analisis dalam makalah ini menggunakan pendekatan semiotik yang difokuskan kepada multimodal sistem yang meliputi aspek linguistik, visual, audio, gestural, dan letak (Anstey dan Bull 2010; Bateman dan Schmidt, 2012; dan Chandler, 2007).
Phonetics and phonology
This book provides basic understanding of linguistic knowledge that introduces linguistics as a science discussing the essence of language. This book provides the students with basic and general concept, terms, theories, and fields of linguistics. To help the students understand the basic linguistic knowledge, this book includes theoretical explanation and exercises.
An article on applying theme and rheme analysis in translation
This paper focuses on the use of theme and rheme analysis as a criterion for judging good translation as judgement without criterion is just a pain. The purpose of translation is to convey the same message in different language for understanding process assistance. However, a translated text sometimes contains a slightly different message from its source. This will certainly lead to ineffective use of translation for delivering different messages in different languages. Every message has a core realized in a theme informing the focus of the message. Different focus shapes different mental pattern of how the message is understood. Moreover, in translating extremely important documents, e.g. Act of the Republic of Indonesia Number 20 Year 2003 on National Education System, the theme of every clause must be carefully controlled. This Act serves as the legal framework for the major educational goal, policies and plans in Indonesia. Considering its vital role in the Indonesian education system, it should be well translated.
Konjungsi Koordinatif dan Subordinatif Bahasa Minangkabau
This article is a part of the book entitled "Konjungsi Koordinatif dan Subordinatif Lintas Bahasa" which focuses on coordinate and subordinate conjunctions of Minangkabaunese Language.
More from Rusdi Noor Rosa (20)
Konjungsi koordinatif dan subordinatif lintas bahasa
Konjungsi koordinatif dan subordinatif lintas bahasa
Understanding structure and written expression in TOEFL
Understanding structure and written expression in TOEFL
Refusal strategies used by male and female sellers at Pasar Raya Padang
Refusal strategies used by male and female sellers at Pasar Raya Padang
Using translog to investigate self correctionsin translation
Using translog to investigate self correctionsin translation
Metafunctional shifts in the Translation of Student and Professional Translators
Metafunctional shifts in the Translation of Student and Professional Translators
Applying metaphor in writing English scientific texts
Applying metaphor in writing English scientific texts
The concept of analytical exposition text - meeting 3
The concept of analytical exposition text - meeting 3
An article on applying theme and rheme analysis in translation
An article on applying theme and rheme analysis in translation
Konjungsi Koordinatif dan Subordinatif Bahasa Minangkabau
Konjungsi Koordinatif dan Subordinatif Bahasa Minangkabau
Recently uploaded
Walmart Business+ and Spark Good for Nonprofits.pdf
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Setup Warehouse & Location in Odoo 17 Inventory
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
ANATOMY AND BIOMECHANICS OF HIP JOINT.pdf
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Aberdeen
The Diamonds of 2023-2024 in the IGRA collection
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
-------------------------------------------------------------------------------
Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
General Data Protection Regulation (GDPR) - Training Courses - EN | PECB
Webinars: https://pecb.com/webinars
Article: https://pecb.com/article
-------------------------------------------------------------------------------
For more information about PECB:
Website: https://pecb.com/
LinkedIn: https://www.linkedin.com/company/pecb/
Facebook: https://www.facebook.com/PECBInternational/
Slideshare: http://www.slideshare.net/PECBCERTIFICATION
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS Template 2023-2024 by: Irene S. Rueco
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
clinical examination of hip joint (1).pdf
described clinical examination all orthopeadic conditions .
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
PCOS corelations and management through Ayurveda.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
DRUGS AND ITS classification slide share
Any substance (other than food) that is used to prevent, diagnose, treat, or relieve symptoms of a
disease or abnormal condition
How to Manage Your Lost Opportunities in Odoo 17 CRM
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
How to Fix the Import Error in the Odoo 17
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Recently uploaded (20)
Walmart Business+ and Spark Good for Nonprofits.pdf
Walmart Business+ and Spark Good for Nonprofits.pdf
How to Setup Warehouse & Location in Odoo 17 Inventory
How to Setup Warehouse & Location in Odoo 17 Inventory
Digital Artefact 1 - Tiny Home Environmental Design
Digital Artefact 1 - Tiny Home Environmental Design
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
What is Digital Literacy? A guest blog from Andy McLaughlin, University of Ab...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
RPMS TEMPLATE FOR SCHOOL YEAR 2023-2024 FOR TEACHER 1 TO TEACHER 3
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
Executive Directors Chat Leveraging AI for Diversity, Equity, and Inclusion
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
বাংলাদেশ অর্থনৈতিক সমীক্ষা (Economic Review) ২০২৪ UJS App.pdf
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
The simplified electron and muon model, Oscillating Spacetime: The Foundation...
Film vocab for eal 3 students: Australia the movie
Film vocab for eal 3 students: Australia the movie
How to Manage Your Lost Opportunities in Odoo 17 CRM
How to Manage Your Lost Opportunities in Odoo 17 CRM
Shift in word formation process of indonesian words
- 1. RUSDI NOOR ROSA M. ZAIM SHIFT IN WORD FORMATION PROCESS OF INDONESIAN WORDS
- 2. RATIONALE To keep using the vocabulary of our language: to borrow to adapt to create new words The growth and the development of a language
- 3. THEORETICAL BACKGROUND Pedoman Umum Ejaan bahasa Indonesia Yang Disempurnakan (PU-EYD), (Pusat Bahasa, 2004) Pedoman Umum Pembentukan Istilah (PUPI), (Moeliono, 1988; Alwi, 1998; Pusat Bahasa, 2007) Pengindonesiaan Kata dan Ungkapan Asing, (Sugono, 2009) • the writing system of Indonesian abbreviations and acronyms • the use of roots, affixation, reduplication, and compounding • Indonesianization of foreign words through adaption and adaptation
- 4. THE WORD FORMATION OF INDONESIAN LANGUAGE Borrowing Adoption Adaptation Translation Coinage Derivation Affixation Reduplication Abbreviation Acronym Compounding
- 5. WORD FORMATION SHIFT Penjabat Pj Word Formation? Acronym?, or Clipping?, or Blending? an indication of forming new words beyond the system regulated
- 6. THE SHIFT IN THE BORROWING PROCESS (ACRONYM) Borrowing Acronym taking out the initial letters of the words written in capital letters (1) Hape dengan radio FM, Facebook & Chatting termurah (NOVA, May 10th – 16th 2010) The acronym “hape” is written by using the spelling sounds of the initial letters of the word “handphone” (2) Sepeda motor jenis trail ini disempurnakan dengan teknologi Yamaha Mixture Jet Fuel Injection (YMJet-FI). (Posmetro Padang, June 24th 2013) The combination of initial words and a root
- 7. THE SHIFT IN THE BORROWING PROCESS (ACRONYM) (3) Asosiasi Televisi Swasta Indonesia (ATVSI) menggelar Indonesia Broadcasting Expo (IBX) di Jakarta (Republika, April 20th 2013) “X” is not the initial letter of the word representing “Expo” The letter “X” is written because it is considered representing the sound “Ex”, whereas acronym is formed based on spelling, not a sound.
- 8. THE SHIFT IN THE BORROWING PROCESS (ADAPTATION) (4) Pemda mempunyai peran yang stratejik dalam pembangunan perumahan rakyat (Republika, April 9th 2013) “-ic” “-ik”: uncommon suffix adaptation in Indonesian language (5) Adapun asset pada 2011, yakni Rp. 5,3 triliun (Republika, April 9th 2013) gemination: uncommon Indonesian spelling system Other Examples: karier (NOVA, May 10th – 16th 2013) fondasi (BOLA, April 04th – 05th 2013)
- 9. THE SHIFT IN THE TRANSLATION PROCESS Translation direct translation and adapted translation (6) Bedanya terdapat fitur infra merah yang bisa digunakan sebagai remote kontrol pada perangkat yang kompatibel. (PULSA, April 24th – Mei 7th 2013). The failure in representing the meaning of the word in its language source “kontrol” in Indonesian language: watching, looking after, keeping an eye on something, or caring for
- 10. THE SHIFT IN DERIVATION PROCESS Derivation Word formation involving derivational affixes (7) Untuk menggaet pembeli, ia berencana untuk memanfaatkan blog dan media sosial. “Saya akan membuat blog dan sesering mungkin meng-upload foto produk di facebook dan instagram,” ujar Intan menjelaskan strategi pemasarannya (Tempo, February 11th 2013). uncommon Indonesian writing system: “-” between the prefix and the root/base
- 11. THE SHIFT IN ACRONYM PROCESS (8) “GAZA” standing for “Gabungan Anak Jalanan” (a group of street children) the absence the letter “Z” in the words constituting GAZA (9) “PLTP” standing for “Pembangkit Listrik Tenaga Panas Bumi” (electricity generated through native heat energy) The absence of the letter “B” that should have represented the word “Bumi”
- 12. THE SHIFT IN BLENDING PROCESS Blending combining the first syllable of the first word and the last syllable of the next word(s) (10) “Pengprov” for “pengurus provinsi” (a province administrator) a combination of the first syllable of the first and the first syllable of the next word(s) (11) “Disdik” for “Dinas Pendidikan” (Ministry of Education) a combination of the first syllable of the first word with the syllable in the middle of the next word(s)
- 13. THE SHIFT IN BLENDING PROCESS (10) “Diknas” for “Pendidikan Nasional” (National Education) a combination of the syllable in in the middle of the word and the first syllable of the next word(s) (11) “Timnas” for “Tim Nasional” (National Team) a combination of the root or free morpheme with the syllable of the next word(s)
- 14. THE SHIFT IN CLIPPING PROCESS Clipping clipping an initial part or a final part of the word as in “prof” for “professor” (12) “lidik” for “menyelidiki” (investigate) clipping the initial and the final part of the word (13) “pj” for ““penjabat” (takeholder) clipping all of parts of the word syllables, permanently keeping the first letter of the word only , and randomly keeping the other letter
- 15. CONCLUSION TBBBI, PU-EYD, and PUPI Shift in Word Formation in line with in contrast to Standard Word Formation
- 16. THANK YOU THANK YOU THANK YOU