This document discusses semantics and defines key terms:
1) It defines semantics as the study of linguistic meaning and how words and sentences follow rules.
2) It outlines three subcategories of semantics: sense, reference, and truth.
3) Sense relates to lexical constructions like synonyms, antonyms, and hyponyms as well as speaker and linguistic sense. Reference relates to what speakers and language refer to. Truth relates to logical reasoning through syllogisms.
Introductory lecture on Corpus Linguistics. Contents: Corpus linguistics: past and present, What is a corpus?, Why use computers to study language? Corpus-based vs. Intuition-based approach, Theory vs. Methodology.
This lecture was based on McEnery et al. 2006. Corpus-based Language Studies. An Advanced resource book. Routlege.
Componential analysis (feature analysis or contrast analysis) is the analysis of words through structured sets of semantic features, which are given as "present", "absent" or "indifferent with reference to feature". The method thus departs from the principle of compositionality. Componential analysis is a method typical of structural semantics which analyzes the components of a word's meaning.
It is my PPt about Semantics and Pragmatics; it only ver basic information about it, but hopefully it will be useful for your educational process or useful as your reading resources. You can contact me if you have a suggestion, critique, or maybe we can discuss this topic further.
Discourse analysis (Linguistics Forms and Functions)Satya Permadi
Discourse analysis is an umbrella term for all those studies within applied linguistics which focus on units/stretches of language beyond the sentence level (Judit, 2012). We as the human is use a natural language utterance which language serves in the expression of 'content' described as transactional and that function involved in expressing social relations and personal attitudes we describe as interactional. Spoken and written language has relation each other. But written language and spoken language have different form. The book concerns with sentence which is 'text-sentence‘, so it will connected to behavior and involves contextual considerations. The data which is used in this book is based on the linguistic output of someone other than the analyst. Besides, discourse analyst discovers regularities in his data.
Introductory lecture on Corpus Linguistics. Contents: Corpus linguistics: past and present, What is a corpus?, Why use computers to study language? Corpus-based vs. Intuition-based approach, Theory vs. Methodology.
This lecture was based on McEnery et al. 2006. Corpus-based Language Studies. An Advanced resource book. Routlege.
Componential analysis (feature analysis or contrast analysis) is the analysis of words through structured sets of semantic features, which are given as "present", "absent" or "indifferent with reference to feature". The method thus departs from the principle of compositionality. Componential analysis is a method typical of structural semantics which analyzes the components of a word's meaning.
It is my PPt about Semantics and Pragmatics; it only ver basic information about it, but hopefully it will be useful for your educational process or useful as your reading resources. You can contact me if you have a suggestion, critique, or maybe we can discuss this topic further.
Discourse analysis (Linguistics Forms and Functions)Satya Permadi
Discourse analysis is an umbrella term for all those studies within applied linguistics which focus on units/stretches of language beyond the sentence level (Judit, 2012). We as the human is use a natural language utterance which language serves in the expression of 'content' described as transactional and that function involved in expressing social relations and personal attitudes we describe as interactional. Spoken and written language has relation each other. But written language and spoken language have different form. The book concerns with sentence which is 'text-sentence‘, so it will connected to behavior and involves contextual considerations. The data which is used in this book is based on the linguistic output of someone other than the analyst. Besides, discourse analyst discovers regularities in his data.
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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.
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