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| Autore principale: | |
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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2006
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=515751737016 |
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Sommario:
- Simple Data-Driven Context-Sensitive Lemmatization Grzegorz Chrupala Computación Lemmatization machine learning Lemmatization for languages with rich inflectional morphology is one of the basic, indispensable steps in a language processing pipeline. In this paper we present a simple data-driven context-sensitive approach to lemmatizating word forms in running text. We treat lemmatization as a classification task for Machine Learning, and automatically induce class labels. We achieve this by computing a Shortest Edit Script (SES) between reversed input and output strings. A SES describes the transformations that have to be applied to the input string (word form) in order to convert it to the output string (lemma). Our approach shows competitive performance on a range of typologically different languages. 2006 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515751737016 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.37