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  2. Syntactic parsing (computational linguistics) - Wikipedia

    en.wikipedia.org/wiki/Syntactic_parsing...

    Modern methods use a neural classifier which is trained on word embeddings, beginning with work by Danqi Chen and Christopher Manning in 2014. [20] In the past, feature-based classifiers were also common, with features chosen from part-of-speech tags, sentence position, morphological information, etc.

  3. Corpus-assisted discourse studies - Wikipedia

    en.wikipedia.org/wiki/Corpus-assisted_discourse...

    Corpus-assisted discourse studies (abbr.: CADS) is related historically and methodologically to the discipline of corpus linguistics.The principal endeavor of corpus-assisted discourse studies is the investigation, and comparison of features of particular discourse types, integrating into the analysis the techniques and tools developed within corpus linguistics.

  4. Universal Dependencies - Wikipedia

    en.wikipedia.org/wiki/Universal_Dependencies

    The UD annotation scheme produces syntactic analyses of sentences in terms of the dependencies of dependency grammar. Each dependency is characterized in terms of a syntactic function, which is shown using a label on the dependency edge. For example: [5] This analysis shows that she, him, and a note are dependents of the left.

  5. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...

  6. Quantitative Discourse Analysis Package - Wikipedia

    en.wikipedia.org/wiki/Quantitative_Discourse...

    It is designed for transcript analysis, but its features overlap with natural language processing and text mining. Its features include: tools for the preparation of transcript data; frequency counts of sentence types, words, sentences, turns of talk, syllables; aggregation using grouping variables; word extracting and visualization ...

  7. Treebank - Wikipedia

    en.wikipedia.org/wiki/Treebank

    A semantic treebank is a collection of natural language sentences annotated with a meaning representation. These resources use a formal representation of each sentence's semantic structure. Semantic treebanks vary in the depth of their semantic representation.

  8. Airbnb user fumes after company refuses to cancel booking ...

    www.aol.com/airbnb-user-fumes-company-refuses...

    Mostarac was furious with the response. “Thank you Airbnb,” she snarked in the post’s caption. “As always, their policies failed to account for context,” she declared in a follow-up post.

  9. RQDA - Wikipedia

    en.wikipedia.org/wiki/RQDA

    RQDA is an R package for computer-assisted qualitative data analysis or CAQDAS, making it one of the few open source tools to assist qualitative coding of textual data.Note that there are also other popular but mostly proprietary CAQDAS tools such as NVivo and Atlas.ti but these software come at a cost.

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