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  2. Data-driven learning - Wikipedia

    en.wikipedia.org/wiki/Data-driven_learning

    Data-driven learning (DDL) is an approach to foreign language learning. Whereas most language learning is guided by teachers and textbooks, data-driven learning treats language as data and students as researchers undertaking guided discovery tasks. Underpinning this pedagogical approach is the data - information - knowledge paradigm (see DIKW ...

  3. Linguistic typology - Wikipedia

    en.wikipedia.org/wiki/Linguistic_typology

    Linguistic typology (or language typology) is a field of linguistics that studies and classifies languages according to their structural features to allow their comparison. Its aim is to describe and explain the structural diversity and the common properties of the world's languages. [ 1 ]

  4. Language resource - Wikipedia

    en.wikipedia.org/wiki/Language_resource

    In a narrower sense, language resource is specifically applied to resources that are available in digital form, and then, "encompassing (a) data sets (textual, multimodal/multimedia and lexical data, grammars, language models, etc.) in machine readable form, and (b) tools/technologies/services used for their processing and management". [1]

  5. Hockett's design features - Wikipedia

    en.wikipedia.org/wiki/Hockett's_design_features

    Hockett's Design Features are a set of features that characterize human language and set it apart from animal communication. They were defined by linguist Charles F. Hockett in the 1960s. He called these characteristics the design features of language.

  6. Feature (linguistics) - Wikipedia

    en.wikipedia.org/wiki/Feature_(linguistics)

    A unique combination of features defines a phoneme. Examples of phonemic or distinctive features are: [+/- voice], [+/- ATR] (binary features) and [ CORONAL] (a unary feature; also a place feature). Surface representations can be expressed as the result of rules acting on the features of the underlying representation. These rules are formulated ...

  7. Critical language awareness - Wikipedia

    en.wikipedia.org/wiki/Critical_language_awareness

    In linguistics, critical language awareness (CLA) refers to an understanding of social, political, and ideological aspects of language, linguistic variation, and discourse. It functions as a pedagogical application of a critical discourse analysis (CDA), which is a research approach that regards language as a social practice. [ 1 ]

  8. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.

  9. Media linguistics - Wikipedia

    en.wikipedia.org/wiki/Media_linguistics

    Media linguistics is the linguistic study of language use in the media. It studies the functioning of language in the media sphere, or modern mass communication presented by print, audiovisual, digital, and networked media. Media linguistics investigates the relationship between language use, which is regarded as an interface between social and ...

  1. Related searches language features adalah menurut untuk yang menjadi media data guru

    language features adalah menurut untuk yang menjadi media data guru dalam