Abstract
Treebank is an important resource for Natural Language Processing. Most existing treebanks are monolingual, but bilingual treebanks are the important basis of syntactical model in machine translation. In this paper, a bilingual phrase structure Treebank aimed for the application of machine translation was preliminarily constructed, which chose POS tagset and syntactic tagset of U-Penn English Treebank and Chinese Treebank as its tagging system. Chinese- English sentence pairs which were drawn from machine translation evaluation data in the treebank were pre-processed, with POS tagged, phrase structure annotated, and all processed data were proofread. Through the analysis of phrase structures which were modified in the proofreading process, it was found that Chinese functional words usages play an important role in Chinese phrase structure grammar.
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Zhang, K., Zan, H., Han, Y., Mu, L. (2014). Preliminary Study on the Construction of Bilingual Phrase Structure Treebank. In: Su, X., He, T. (eds) Chinese Lexical Semantics. CLSW 2014. Lecture Notes in Computer Science(), vol 8922. Springer, Cham. https://doi.org/10.1007/978-3-319-14331-6_40
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DOI: https://doi.org/10.1007/978-3-319-14331-6_40
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