Euskarazko denbora-egituren tratamendu automatikorako azterketa
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Hizkuntzaren prozesamenduan (HP) balio handikoa da denbora-informazioa, horrek kokatzen baititutestuko gertaerak kronologian edo horien iraupena adierazten baitu.Erauzitako informazio horigertaerak noiz jazo diren jakiteko baliatu ahal izango da, baita gertaerak denboran zehar ordenatuedo etorkizunean zer gertatuko den aurrikusteko. Horiek lortzeko, ordea, denbora-egiturak eta eurenezaugarriak identifikatu eta tresna informatikoentzat atzigarri egin behar dira eta zeregin horietarakohizkuntza-baliabideak eta konputazio-baliabideak sortu behar dira.
Temporal information is very valuable on natural language processing (NLP), since it positions the eventsin the text on a timeline or shows their duration.That information will be employed to know whenevents have happened, as well as to order events in a timeline or forecast future events. So as to achievethose goals, temporal structures and their features have to be identified and available for automatic tools,and for these tasks linguistic and computational resources have to be developed.
Temporal information is very valuable on natural language processing (NLP), since it positions the eventsin the text on a timeline or shows their duration.That information will be employed to know whenevents have happened, as well as to order events in a timeline or forecast future events. So as to achievethose goals, temporal structures and their features have to be identified and available for automatic tools,and for these tasks linguistic and computational resources have to be developed.
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Denbora-informazioa, hizkuntzaren prozesamendua, corpusa, markaketa-lengoaia, Temporal information, natural language processing, corpus, mark-up language