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  2. 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 ...

  3. Feature (machine learning) - Wikipedia

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

    In machine learning and pattern recognition, a feature is an individual measurable property or characteristic of a data set. [1] Choosing informative, discriminating, and independent features is crucial to produce effective algorithms for pattern recognition, classification, and regression tasks.

  4. 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 ...

  5. Text corpus - Wikipedia

    en.wikipedia.org/wiki/Text_corpus

    When the language of the corpus is not a working language of the researchers who use it, interlinear glossing is used to make the annotation bilingual. Some corpora have further structured levels of analysis applied. In particular, smaller corpora may be fully parsed. Such corpora are usually called Treebanks or Parsed Corpora. The difficulty ...

  6. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.

  7. Language identification - Wikipedia

    en.wikipedia.org/wiki/Language_identification

    The most likely language is the one with the model that is most similar to the model from the text needing to be identified. This approach can be problematic when the input text is in a language for which there is no model. In that case, the method may return another, "most similar" language as its result.

  8. Data-centric programming language - Wikipedia

    en.wikipedia.org/wiki/Data-centric_programming...

    Data-centric programming language defines a category of programming languages where the primary function is the management and manipulation of data. A data-centric programming language includes built-in processing primitives for accessing data stored in sets, tables, lists, and other data structures and databases, and for specific manipulation and transformation of data required by a ...

  9. 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.