5. Conclusion

Linguistic engineering techniques are gradually becoming an integral part of our working environment, as we seek to make better use of the information contained in electronic documents. The objectives of automatic language processing have diversified, as they respond to the now strategic need to access information contained in large volumes of text in an appropriate and relevant way. The original ambition of NLP to simulate language competence and perfectly reproduce the tasks of translators, proofreaders and documentalists has been radically transformed. Today, NLP systems must be robust enough to facilitate the activities of all types of users: these systems must be capable of processing real textual data, in noisy environments, to serve varied and precise application objectives (searching for texts, extracting information, classifying documents, etc.). This means translating complex objectives...

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page 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.