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- W2328915052 abstract "Automatically acquiring semantic verb classes from corpora is a challenging task, especially with no existing treebank. Building a high-performing parser for a language is still crucially depends on the existence of large, in-domain texts as training data. While previous work has focused primarily on major languages, how to extend these results to other languages is the way to avoid working start from scratch. In general, a large monolingual corpus in a resource-rich source language labeled with lexico-syntactic information, and a very limited bilingual corpus are available. This paper addresses the problem of verb classification automatically in Tibetan using bilingual lexicon and translation information." @default.
- W2328915052 created "2016-06-24" @default.
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- W2328915052 date "2014-02-28" @default.
- W2328915052 modified "2023-09-23" @default.
- W2328915052 title "Verb Classification Using Bilingual Lexicon and Translation Information in Tibetan Language" @default.
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- W2328915052 doi "https://doi.org/10.14257/ijmue.2014.9.2.05" @default.
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