Sentence examples for linguistic corpus from inspiring English sources

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Fun with words (remember Zembla?): a comma in the wrong place; the origins of the fanboy; Twitter as a linguistic corpus; a truly remarkable pun on a famous line in Tacitus.

Entering into a "discourse" (i.e., a "specialized linguistic corpus of a disciplinary or professional enterprise") requires a sensitivity to the "relevant specialized registers of various words, phrases, concepts, or expressions," they explain, wryly noting that this is "a dynamic rather incandescently on display in this very paragraph and elsewhere in the present volume".

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Linguistic Data Consortium Major repository and distribution point for language resources, including linguistic corpora.

Major repository and distribution point for language resources, including linguistic corpora.

corpus.byu.edu Online interface to the linguistic corpora created and maintained at Brigham Young University, including the Corpus of Contemporary American English COCA and Global Web-Baseded EnGloWbE(GloWbE).

This project uses the gameplay data from The Restaurant Game and Improviso as linguistic corpora for automated language learning.

Online interface to the linguistic corpora created and maintained at Brigham Young University, including the Corpus of Contemporary American English COCA and Globalal Web-Based English (GloWbE).

Yale Library supports research enabled by vital tools in other formats such as data collections, linguistic corpora, software, research papers, and specifications, currently through membership in the Linguistic Data Consortium (LDC), and primarily in response to faculty demand.

On the other, we have statistical approaches, whose primary aim is to investigate the patterns of co-occurrence among word forms in linguistic corpora.

The statistical approach emerged in the wake of successful application of "noisy channel" models to speech recognition in the late 1970s and during the 80s, and was propelled forward by new developments in machine learning and the increasing availability of large machine-readable linguistic corpora, including parallel texts in multiple languages.

Methods of automatic knowledge acquisition (KA), although widely used in NLP [5, 10], are not shown to be useful for capturing tacit and common-sense knowledge, because this knowledge is not commonly derivable from grammatical and structural properties of texts available in linguistic corpora [14].

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