This presentation is a part of Digital Humanities, which focuses on Machine Translation. MT is a subfield of Computational Linguistics, which can translate a text from one language to another language.
This document discusses the pedagogical uses and debates around using translation in foreign language teaching. It outlines arguments both for and against translation, including that translation can help relate a new language to one already known but may also interfere with natural language learning. Current issues discussed include the cultural aspects of translation and how corpus studies examine real translations. Globalization is noted as dramatically changing translation's role in the modern world.
This document discusses pedagogical uses of translation and current issues in the field. It addresses how translation has historically been used to teach foreign languages, but was opposed by some who felt it interfered with natural language learning. However, cognitive views now support translation as a learning resource. The document also discusses translation as intercultural communication, methods for studying the translation process, using corpus studies to analyze translations, and the role of translation in globalization.
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...Waqas Tariq
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.
This document discusses the role of translation in English language teaching. It argues that translation has been neglected as a teaching method, despite evidence that it can support language learning. The document notes that learners naturally rely on their first language in the early stages of second language acquisition. It asserts that a bilingual approach, which incorporates translation, validates learners' experiences and allows them to gradually learn through their first language. The document also discusses how translation activities can be incorporated into teaching in a communicative way.
English is regarded as the world language and plays an important role in India. It is the medium of instruction in colleges and universities, as well as the language of administration. English is used for communication in parliament, high courts, and business transactions. It also serves as an international language that helps link people globally and provides access to 54% of the world's publications. Knowledge of English opens up employment prospects both within India and abroad, and it functions as a link language between India's different states and regions.
Here are the key features of Easy Language Translator:
- It can translate over 100 languages with both text and voice translation.
- The voice translation feature allows you to speak and then listen to the translated text, or vice versa.
- It has options to add translations to favorites for quick access later, and to share translations with others.
- Translations can also be saved for offline use without an Internet connection.
In summary, Easy Language Translator is a full-featured translation app that supports a wide range of languages and allows for both text and voice input/output, along with additional options like favorites and sharing. It aims to provide an easy-to-use translation experience for Android users.
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
This document discusses the pedagogical uses and debates around using translation in foreign language teaching. It outlines arguments both for and against translation, including that translation can help relate a new language to one already known but may also interfere with natural language learning. Current issues discussed include the cultural aspects of translation and how corpus studies examine real translations. Globalization is noted as dramatically changing translation's role in the modern world.
This document discusses pedagogical uses of translation and current issues in the field. It addresses how translation has historically been used to teach foreign languages, but was opposed by some who felt it interfered with natural language learning. However, cognitive views now support translation as a learning resource. The document also discusses translation as intercultural communication, methods for studying the translation process, using corpus studies to analyze translations, and the role of translation in globalization.
Dictionary Entries for Bangla Consonant Ended Roots in Universal Networking L...Waqas Tariq
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.
This document discusses the role of translation in English language teaching. It argues that translation has been neglected as a teaching method, despite evidence that it can support language learning. The document notes that learners naturally rely on their first language in the early stages of second language acquisition. It asserts that a bilingual approach, which incorporates translation, validates learners' experiences and allows them to gradually learn through their first language. The document also discusses how translation activities can be incorporated into teaching in a communicative way.
English is regarded as the world language and plays an important role in India. It is the medium of instruction in colleges and universities, as well as the language of administration. English is used for communication in parliament, high courts, and business transactions. It also serves as an international language that helps link people globally and provides access to 54% of the world's publications. Knowledge of English opens up employment prospects both within India and abroad, and it functions as a link language between India's different states and regions.
Here are the key features of Easy Language Translator:
- It can translate over 100 languages with both text and voice translation.
- The voice translation feature allows you to speak and then listen to the translated text, or vice versa.
- It has options to add translations to favorites for quick access later, and to share translations with others.
- Translations can also be saved for offline use without an Internet connection.
In summary, Easy Language Translator is a full-featured translation app that supports a wide range of languages and allows for both text and voice input/output, along with additional options like favorites and sharing. It aims to provide an easy-to-use translation experience for Android users.
Charith Perera, Saeed Aghaee, Alan Blackwell, Natural Notation for the Domestic Internet of Things , Proceedings of the 5th International Symposium on End-User Development (IS-EUD), Madrid, Spain, May, 2015,
Development of Bi-Directional English To Yoruba Translator for Real-Time Mobi...CSCJournals
- The document describes the development of a bi-directional English to Yoruba translator for real-time mobile chatting.
- It uses a hybrid machine translation approach combining rule-based and corpus-based methods. Parallel corpora and computational rules were developed and stored in databases. Dictionaries containing words in both languages and their parts of speech were also created.
- The system was implemented using PHP for server-side scripting, JSON for data interchange, and an Android app for the user interface. Testing showed 95% accuracy compared to Google Translate.
Natural language processing (NLP) is the field of study that focuses on interactions between humans and computers using natural languages like English. NLP involves developing technologies to understand, analyze, generate, and translate human language to allow computers to process large amounts of natural language data and communicate with humans more naturally. Some key applications of NLP include speech recognition, natural language understanding to interpret text, and natural language generation to produce human-like language from structured data. Machine translation is also an important task within NLP that works to automatically translate one human language to another.
This document discusses a project to directly translate Hindi text to Tamil text without an intermediate language like English. It describes using techniques like part-of-speech tagging, statistical machine translation, word sense disambiguation using the Lesk algorithm, and morphological analysis. The goal is to build an architecture that can take Hindi input, perform the necessary NLP techniques, and output the translation in Tamil. References are provided for related work.
September 2022: Top 10 Read Articles in Natural Language Computingkevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
This document discusses translation studies and contains information about:
1) Challenges in the translation process such as changes made to the text, illegible text, inconsistent terminology, errors, incomplete text, and missing references.
2) Cultural and linguistic issues that must be considered like dialects, abbreviations, jargon, idioms, slang, punctuation differences, and high context cultural references.
3) Quotes about the importance of translation in introducing other cultures and languages to forms of art and humanity, and that translation requires a creative person with a keen sense of both cultures to use translation strategies judiciously.
Current Issue: April 2019, Volume 8, Number 2kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
In this slides the basic concept of machine translation is described.MT challenges are represented and describes rule-based and statistical MT briefly. Some notes about evaluation is described too
Survey of machine translation systems in indiaijnlc
The work in the area of machine translation has been going on for last few decades but the promising
translation work began in the early 1990s due to advanced research in Artificial Intelligence and
Computational Linguistics. India is a multilingual and multicultural country with over 1.25 billion
population and 22 constitutionally recognized languages which are written in 12 different scripts. This
necessitates the automated machine translation system for English to Indian languages and among Indian
languages so as to exchange the information amongst people in their local language. Many usable machine
translation systems have been developed and are under development in India and around the world. The
paper focuses on different approaches used in the development of Machine Translation Systems and also
briefly described some of the Machine Translation Systems along with their features, domains and
limitations.
This document discusses computational linguistics, including its origins, main application areas, and approaches. Computational linguistics originated from efforts in the 1950s to use computers for machine translation between languages. It aims to develop natural language processing applications like machine translation, speech recognition, and grammar checking. Research employs various approaches including developmental, structural, production-focused, and comprehension-focused methods. The field involves both computer science and linguistics.
MACHINE TRANSLATION WITH SPECIAL REFERENCE TO MALAYALAM LANGUAGEJomy Jose
This document discusses machine translation with reference to the Malayalam language. It notes that while Google Translate provides services for many languages, it does not currently support Malayalam, which is spoken by 38 million people in Kerala, India. The document reviews literature on machine translation efforts for Indian languages and discusses the need for machine translation between languages in India given the government's use of English and Hindi alongside state languages. It provides background on the Malayalam language and compares the languages supported by Google Translate to their numbers of native speakers.
Natural language processing (NLP) analyzes and represents natural language text or speech at linguistic levels to achieve human-like language processing for applications. NLP was influenced by Turing's 1950 paper on machine intelligence and involved early systems like SHRDLU in the 1960s. NLP understands, generates, and integrates natural language through techniques like morphological, syntactic, semantic and discourse analysis to benefit domains like search, translation, sentiment analysis, social media and more.
This document discusses natural language processing and machine translation. It describes natural language processing as a field concerned with interactions between computers and human languages. It then lists some common NLP applications like question answering, text categorization, and machine translation. The document discusses rule-based and statistical approaches to machine translation and some issues in machine translation like word order differences between languages and ambiguity. It also briefly describes some existing machine translation systems like Systran, Bing Translator, and Google Translator.
This document discusses challenges in machine translation of idioms from English to Hindi. It analyzes problems encountered in idiom identification and translation, including retaining idiomatic meaning. A rule-based approach is proposed for idiom identification. Translations using Google Translate are evaluated manually, achieving 70% accuracy. Analysis shows errors are due to irrelevant idioms, grammar issues, and part-of-speech errors. Common translation strategies like using similar meaning idioms or paraphrasing are also discussed.
Advantages and Disadvantages of Meeting.pdfAshaDhedhi
Meeting is an Integral part of Corporate World. There are certain advantages and limitations of meetings because of that Meeting can achieve grand success at a time or can be a failure as well. Here, In this Presentation you will find various merits and demerits of Meetings. This Presentation is prepared as part of B.Com Curriculum where Meeting is taught under Business Communication as a part of Group Communication.
This Presentation is prepared as part of Business Communication. In which Meeting is an integral part of Corporate World. Here you will get acquainted with the basics of Meeting and It's several types on the basis of Functions, Medium of communication and People involved in the meeting. This Presentation is very helpful to B.com students who are studying Business Communication as a separate subject.
Psychological study of the tell tale heartAshaDhedhi
The Tell-Tale Heart is one of the best known story by Edgar Allan Poe. In this particular presentation the presenter try to study the story through the lenses of Freudian Psychology of ID, Ego and Superego.
From frankenstein to artificial intelligenceAshaDhedhi
This document discusses how Mary Shelley's 1818 novel Frankenstein is still relevant to discussions of artificial intelligence today. It notes how both the monster in Frankenstein and modern robots manifest dangers like overpowering human intelligence or enslaving humanity. The document argues that while science and technology have noble intentions, they inevitably create monsters that gain abilities and return to haunt us. It examines archetypes like Prometheus, Dr. Jekyll and Mr. Hyde, and Dr. Moreau to show humanity's endless curiosity challenging nature leads to negative consequences. Ultimately, the document concludes that humans themselves are most to blame for any dangers posed by their creations, through hubris, cruelty or forcing non-human entities to be monstrous
Oliver twist- Four Types of Child LabourAshaDhedhi
This presentation highlighting the four kinds of child labour which is manifested in 'Oliver Twist' by Charles Dickens. Along with that here you can also see portrayal of Child Labour in Indian Cinema.
This document defines and discusses the concept of hyperreality. It begins by defining hyperreality as a representation of reality without an original reference, as coined by Jean Baudrillard. Some key points are then made about the origin and usage of the term, as well as the significance of hyperreality in modern consumerist society. Examples of hyperreality in various domains like advertising, Disney movies, and fashion are explored. The document concludes by citing several works discussing hyperreality further.
This document is a student paper analyzing the 18th century novel "Tom Jones" by Henry Fielding as an example of a picaresque novel. It provides background on what defines the picaresque genre, including that it typically features a roguish hero of low social class who goes on a journey involving humorous adventures and realistic depictions of lowlife. The paper then analyzes how "Tom Jones" fits this form through its episodic structure, portrayal of Tom as a picaresque hero, and themes of pursuit and journeying. It includes references and is submitted to the English department of the student's university.
Development of Bi-Directional English To Yoruba Translator for Real-Time Mobi...CSCJournals
- The document describes the development of a bi-directional English to Yoruba translator for real-time mobile chatting.
- It uses a hybrid machine translation approach combining rule-based and corpus-based methods. Parallel corpora and computational rules were developed and stored in databases. Dictionaries containing words in both languages and their parts of speech were also created.
- The system was implemented using PHP for server-side scripting, JSON for data interchange, and an Android app for the user interface. Testing showed 95% accuracy compared to Google Translate.
Natural language processing (NLP) is the field of study that focuses on interactions between humans and computers using natural languages like English. NLP involves developing technologies to understand, analyze, generate, and translate human language to allow computers to process large amounts of natural language data and communicate with humans more naturally. Some key applications of NLP include speech recognition, natural language understanding to interpret text, and natural language generation to produce human-like language from structured data. Machine translation is also an important task within NLP that works to automatically translate one human language to another.
This document discusses a project to directly translate Hindi text to Tamil text without an intermediate language like English. It describes using techniques like part-of-speech tagging, statistical machine translation, word sense disambiguation using the Lesk algorithm, and morphological analysis. The goal is to build an architecture that can take Hindi input, perform the necessary NLP techniques, and output the translation in Tamil. References are provided for related work.
September 2022: Top 10 Read Articles in Natural Language Computingkevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
This document discusses translation studies and contains information about:
1) Challenges in the translation process such as changes made to the text, illegible text, inconsistent terminology, errors, incomplete text, and missing references.
2) Cultural and linguistic issues that must be considered like dialects, abbreviations, jargon, idioms, slang, punctuation differences, and high context cultural references.
3) Quotes about the importance of translation in introducing other cultures and languages to forms of art and humanity, and that translation requires a creative person with a keen sense of both cultures to use translation strategies judiciously.
Current Issue: April 2019, Volume 8, Number 2kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.
In this slides the basic concept of machine translation is described.MT challenges are represented and describes rule-based and statistical MT briefly. Some notes about evaluation is described too
Survey of machine translation systems in indiaijnlc
The work in the area of machine translation has been going on for last few decades but the promising
translation work began in the early 1990s due to advanced research in Artificial Intelligence and
Computational Linguistics. India is a multilingual and multicultural country with over 1.25 billion
population and 22 constitutionally recognized languages which are written in 12 different scripts. This
necessitates the automated machine translation system for English to Indian languages and among Indian
languages so as to exchange the information amongst people in their local language. Many usable machine
translation systems have been developed and are under development in India and around the world. The
paper focuses on different approaches used in the development of Machine Translation Systems and also
briefly described some of the Machine Translation Systems along with their features, domains and
limitations.
This document discusses computational linguistics, including its origins, main application areas, and approaches. Computational linguistics originated from efforts in the 1950s to use computers for machine translation between languages. It aims to develop natural language processing applications like machine translation, speech recognition, and grammar checking. Research employs various approaches including developmental, structural, production-focused, and comprehension-focused methods. The field involves both computer science and linguistics.
MACHINE TRANSLATION WITH SPECIAL REFERENCE TO MALAYALAM LANGUAGEJomy Jose
This document discusses machine translation with reference to the Malayalam language. It notes that while Google Translate provides services for many languages, it does not currently support Malayalam, which is spoken by 38 million people in Kerala, India. The document reviews literature on machine translation efforts for Indian languages and discusses the need for machine translation between languages in India given the government's use of English and Hindi alongside state languages. It provides background on the Malayalam language and compares the languages supported by Google Translate to their numbers of native speakers.
Natural language processing (NLP) analyzes and represents natural language text or speech at linguistic levels to achieve human-like language processing for applications. NLP was influenced by Turing's 1950 paper on machine intelligence and involved early systems like SHRDLU in the 1960s. NLP understands, generates, and integrates natural language through techniques like morphological, syntactic, semantic and discourse analysis to benefit domains like search, translation, sentiment analysis, social media and more.
This document discusses natural language processing and machine translation. It describes natural language processing as a field concerned with interactions between computers and human languages. It then lists some common NLP applications like question answering, text categorization, and machine translation. The document discusses rule-based and statistical approaches to machine translation and some issues in machine translation like word order differences between languages and ambiguity. It also briefly describes some existing machine translation systems like Systran, Bing Translator, and Google Translator.
This document discusses challenges in machine translation of idioms from English to Hindi. It analyzes problems encountered in idiom identification and translation, including retaining idiomatic meaning. A rule-based approach is proposed for idiom identification. Translations using Google Translate are evaluated manually, achieving 70% accuracy. Analysis shows errors are due to irrelevant idioms, grammar issues, and part-of-speech errors. Common translation strategies like using similar meaning idioms or paraphrasing are also discussed.
Advantages and Disadvantages of Meeting.pdfAshaDhedhi
Meeting is an Integral part of Corporate World. There are certain advantages and limitations of meetings because of that Meeting can achieve grand success at a time or can be a failure as well. Here, In this Presentation you will find various merits and demerits of Meetings. This Presentation is prepared as part of B.Com Curriculum where Meeting is taught under Business Communication as a part of Group Communication.
This Presentation is prepared as part of Business Communication. In which Meeting is an integral part of Corporate World. Here you will get acquainted with the basics of Meeting and It's several types on the basis of Functions, Medium of communication and People involved in the meeting. This Presentation is very helpful to B.com students who are studying Business Communication as a separate subject.
Psychological study of the tell tale heartAshaDhedhi
The Tell-Tale Heart is one of the best known story by Edgar Allan Poe. In this particular presentation the presenter try to study the story through the lenses of Freudian Psychology of ID, Ego and Superego.
From frankenstein to artificial intelligenceAshaDhedhi
This document discusses how Mary Shelley's 1818 novel Frankenstein is still relevant to discussions of artificial intelligence today. It notes how both the monster in Frankenstein and modern robots manifest dangers like overpowering human intelligence or enslaving humanity. The document argues that while science and technology have noble intentions, they inevitably create monsters that gain abilities and return to haunt us. It examines archetypes like Prometheus, Dr. Jekyll and Mr. Hyde, and Dr. Moreau to show humanity's endless curiosity challenging nature leads to negative consequences. Ultimately, the document concludes that humans themselves are most to blame for any dangers posed by their creations, through hubris, cruelty or forcing non-human entities to be monstrous
Oliver twist- Four Types of Child LabourAshaDhedhi
This presentation highlighting the four kinds of child labour which is manifested in 'Oliver Twist' by Charles Dickens. Along with that here you can also see portrayal of Child Labour in Indian Cinema.
This document defines and discusses the concept of hyperreality. It begins by defining hyperreality as a representation of reality without an original reference, as coined by Jean Baudrillard. Some key points are then made about the origin and usage of the term, as well as the significance of hyperreality in modern consumerist society. Examples of hyperreality in various domains like advertising, Disney movies, and fashion are explored. The document concludes by citing several works discussing hyperreality further.
This document is a student paper analyzing the 18th century novel "Tom Jones" by Henry Fielding as an example of a picaresque novel. It provides background on what defines the picaresque genre, including that it typically features a roguish hero of low social class who goes on a journey involving humorous adventures and realistic depictions of lowlife. The paper then analyzes how "Tom Jones" fits this form through its episodic structure, portrayal of Tom as a picaresque hero, and themes of pursuit and journeying. It includes references and is submitted to the English department of the student's university.
Asha Dhedhi submitted a topic on "Hamartia" to the Department of English at MKBU. Hamartia comes from the Greek word meaning "to miss the mark" or "to err", referring to a sin, mistake, fault, or error. In tragic literature, hamartia refers to a fatal flaw that leads to the downfall of the tragic hero. Examples of hamartia discussed include indecisiveness in Hamlet, ambition in Dr. Faustus, rash actions in Othello, ambition and greed in Macbeth, and impulsiveness, anger, pride, and lack of courage in Devdas. Hamartia serves important functions like eliciting pity and fear
The fakeer of jungheera as revolutionary poemAshaDhedhi
Here is my Presentation on Paper no.-4 Indian writing in English on The Fakeer of Jungheera as Revolutionary poem. In this Poem Henry Derozio try to raise voice against Satipratha, Religion and Caste System
How to Fix the Import Error in the Odoo 17Celine George
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.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
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
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Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
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.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
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.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
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.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
Assessment and Planning in Educational technology.pptx
Machine translation
1. Literary Theory and Crticism
Name : Asha R. Dhedhi
Roll no : 02
Semester: M.A. SEM - 2 (2020-21)
Enrollment No: 2069108420200010
Topic: Local Languages in Machine Translation
Email ID: ashadhedhi1806@gmail.com
Submitted to: Department of English
(MKBU)
2. What is Machine Translation?
● Sub-Field of
Computational Linguistic
● Machine Translation is
the task of Automatically
convert the Source text
in one langauage to
another language
8. Disambiguation
● No suitable translation when a word have more than
one meaning
● Yohoshua Bar-Hillel pointed out that…..
“Translation Machine should not only be
supplied with a diction but also with a
“Universal EEncyclopedia.”
(The Present Status of Automatic Translation Machine)
9. Use of Controlled Language
Natural
Language
Controlled
Natural Language
Evolved naturally in
Human through
repetition without
conscious planning.
Sub-sets of natural
Languages
10. How to Avoid Controlled Language
According to Sharon O’Brien
● Keep Sentences Short
● Avoid the Use of Pronoun
● Only Use Dictionary approved word
● Use only Active Voice
11. Advantages of Machine
Translation
● Fast and Efficient
● Less Time Consuming
● Comparatively Cheap
● Flexibility of Machine Translator
● Easily Available
● Multiple Language Supporting
12. Limitations of Machine Translation
● Simplistic Word Choice
● Lack of Context
● Accuracy Level is very Law
● Lack of Quality Translation
● Difficult to Translate Slang, Nuances and other
culturally relevant phrases
● Loses consciseness of Language
● Poor Understanding of Parent
Language(Source Text)
13. References
● Bar-Hillel, Yehoshua. (1960) “The Present Status of Automatic
Translation of Languages.” Advances in Computers, Volume 1, pp.
91–163.
● Casacuberta, Francisco; Civera, Jorge; Cubel, Elsa
Lagarda,Antonio; Lapalme, Guy; Macklovitch, Elliott; Vidal, Enrique;
(2009) “Human Interaction for High-Quality Machine Translation.”
Communications of the ACM, pp. 135–138.
● Lyons, John (1991). Natural Language and Universal Grammar. New
York: Cambridge University Press. pp. 68–70. ISBN 978-0521246965.
14. ● O'Brien, Sharon (2003). "Controlling Controlled English - An
Analysis of Several Controlled Language Rule Sets.”
● Shah, Asharam Dalichand. (1921) Gujarati Kahevat
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