3. Basic automatic text processing techniques

A wide range of processing operations are carried out on the texts as they are processed. Delimiting the words in the text, assigning them a linguistic label and identifying the syntactic relationships between them are the prerequisites for processing the data in the applications we have just described . The standard processing chain transforms the raw text into a list of forms presented line by line (segmented and verticalized text), to which morphological, grammatical and possibly semantic linguistic properties are associated.

The techniques developed are generally characterized by a combination...

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Basic automatic text processing techniques

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Resources for automatic text processing

Bibliography

(1) - JURAFSKY (D.), MARTIN (J.H.) - Speech and language processing – An introduction to natural language processing, computational linguistics, and speech recognition. - (2009).
(2) - LALLICH-BOIDIN (G.), MARET (D.) - Recherche d'information et traitement...

Software tools

References for tools and resources cited in the article :

TreeTagger: morpho-syntactic labeling and lemmatization. University of Stuttgart http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/

Lexico: text statistics tool. Paris 3 University

Websites

Portals on language technologies and language resources

CNRTL Centre National de Ressources Textuelles et Lexicales http://www.cnrtl.fr/

ELRA – European Language Resources Association http://www.elra.info/

Language Technology World, DFKI...

Standards and norms

TEI (Text Encoding Initiative) consortium created in 1987 to produce recommendations for standardizing the encoding of digital documents http://www.tei-c.org

Events

TALN (Traitement Automatique des Langues Naturelles) international French-language conference organized annually since 1994 by the ATALA Association pour le Traitement Automatique des Langues.