A Multilingual Paradigm for Automatic Verb Classi cationPaola
نویسندگان
چکیده
We demonstrate the beneets of a multilingual approach to automatic lexical semantic verb classiication based on statistical analysis of corpora in multiple languages. Our research incorporates two interrelated threads. In one, we exploit the similarities in the crosslinguis-tic classiication of verbs, to extend work on English verb classiication to a new language (Italian), and to new classes within that language, achieving an accuracy of 86.4% (baseline 33.9%). Our second strand of research exploits the differences across languages in the syntactic expression of semantic properties, to show that complementary information about English verbs can be extracted from their translations in a second language (Chinese). The use of multilingual features improves classiication performance of the English verbs, achieving an accuracy of 83.5% (baseline 33.3%).
منابع مشابه
Automatic verb classification using multilingual resources
We propose the use of multilingual corpora in the automatic classi cation of verbs. We extend the work of (Merlo and Stevenson, 2001), in which statistics over simple syntactic features extracted from textual corpora were used to train an automatic classi er for three lexical semantic classes of English verbs. We hypothesize that some lexical semantic features that are di cult to detect super c...
متن کاملPr oc ee di ng s of th e 40 th A C L , 2 07 - 2 14 , 2 00 2 A Multilingual Paradigm for Automatic Verb Classi
We demonstrate the beneets of a multilingual approach to automatic lexical semantic verb classiication based on statistical analysis of corpora in multiple languages. Our research incorporates two interrelated threads. In one, we exploit the similarities in the crosslinguis-tic classiication of verbs, to extend work on English verb classiication to a new language (Italian), and to new classes w...
متن کاملAutomatic Verb Classi cation Using Multilingual Resources
We propose the use of multilingual corpora in the automatic classiication of verbs. We extend the work of (Merlo and Stevenson, 2001), in which statistics over simple syntactic features extracted from textual corpora were used to train an automatic classiier for three lexical semantic classes of English verbs. We hypothesize that some lexical semantic features that are diicult to detect superrc...
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We investigate the use of multilingual data in the automatic classiication of English verbs, and show that there is a useful transfer of information across languages. Speciically, we experiment with three lexical semantic classes of En-glish verbs. We collect statistical features over a sample of English verbs from each of the classes, as well as over Chinese translations of those verbs. We use...
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