Linguística para processamento de línguas
| Autor: | Eric Laporte, Aucione Smarsaro, Oto Vale |
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| Přispěvatelé: | Laboratoire d'Informatique Gaspard-Monge (LIGM), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM), Departamento de Línguas e Letras (DLL), Universidade Federal do Espirito Santo (UFES), Universidade Federal de São Carlos, Departamento de Letras, Departamento de Letras (DL), Universidade Federal de São Carlos (UFSCar)-Universidade Federal de São Carlos (UFSCar), Coordenação de aperfeiçoamento de pessoal de nível superior (CAPES), Fundação de amparo à pesquisa do Espírito Santo (FAPES), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS) |
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| Zdroj: | HAL 1, PPGEL/UFES, pp.268, 2013 PPGEL/UFES, 1, pp.268, 2013 |
| Popis: | The 1st Conference on Linguistics for Automatic Natural Language Processing (LiPrAL) was held in the Universidade Federal do Espírito santo (UFES). Knowledge about specifically linguistic concepts is essential to the creation of natural language processing (NLP) systems. Presently, applications are designed nearly only by computer scientists which, in general, feel alien to linguistics and resort to scarce linguistic concepts. The performances of resulting computational systems could be substantially improved if more research invested into exhaustive coverage of the lexicon of languages. We think that linguists able to describe linguistic forms and to formalize their results for computational use can be hired into technological companies in the NLP field. Therefore, studies in this area, in addition to contributing to language teaching, have a potential of jobs in technological activities, which is not realised by the academic community yet. In order to reverse this situation, it is necessary to explain and prove the crucial relevance of research in linguistics for NLP, to invest more in researcher motivation and to investigate more into description of formalized structures. |
| Databáze: | OpenAIRE |
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