Abstract
Multiword Expressions present idiosyncratic features in the application of Natural Language Processing. This paper focuses on Multiword Expressions extraction from bilingual corpus with alignment information constructed by Statistical Machine Translation (SMT) and word alignment method. A pattern based extraction system and an Artificial Neural Network (ANN) with feedback are applied for extracting MWEs. The results show that both of these approaches can achieve satisfying performance.
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Fu, Y., Ge, N., Zheng, Z., Zhang, S., Meng, Y., Yu, H. (2012). Extraction of Chinese Multiword Expressions Based on Artificial Neural Network with Feedbacks. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_65
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DOI: https://doi.org/10.1007/978-3-642-32695-0_65
Publisher Name: Springer, Berlin, Heidelberg
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