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Article | REF: H7258 V2

Automatic text processing - Linguistic techniques

Author: Cécile FABRE

Publication date: May 10, 2012 | Lire en français

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    4. Resources for automatic text processing

    NLP systems rely on several types of resources:

    • textual resources: textual data, known as corpora, are used to create test benches, to train learning systems, to extract lexical data, etc. ...;

    • lexical resources: lexicons form the core of the linguistic information used by a system. They vary in nature depending on the application, and incorporate more or less complex information, from simple word lists to structured semantic resources. Given the cost involved in building a lexicon for a given application, the trend is towards reusability and automatic acquisition of lexical data;

    • software resources: lemmatizers, segmenters and labelers are the basic building blocks of text processing. The complexity of a NLP application calls for the reusability of existing components; this...

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