Abstract
Bilingual Base Noun Phrase extraction is one of the key tasks of Natural Language Processing (NLP). This task is more challenges for the pair of English-Vietnamese because of the lack of available Vietnamese language resources such as robust NLP tools and annotated training data. This paper presents a bilingual dictionary-, a bilingual corpus- and knowledge-based method to identify Base Noun Phrase correspondences from a pair of English-Vietnamese bilingual sentences. Our method identifies anchor points of the Base Noun Phrase in English sentence, and then it performs alignment based on these anchor points. Our method not only overcomes the lack of resources of Vietnamese but also improves the performance of miss-alignment, null-alignment, overlap and conflict projection of the existing methods. The proposed technique can be easily applied to other language pairs. Experiment on 35,000 pairs of sentences in the English-Vietnamese bilingual corpus showed that our proposed method can obtain the accuracy of 78.5%.
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Nguyen, H.C. (2013). A Combination System for Identifying Base Noun Phrase Correspondences. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_2
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DOI: https://doi.org/10.1007/978-3-642-34300-1_2
Publisher Name: Springer, Berlin, Heidelberg
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