Abstract
The web corpus has been used for linguistic analysis with the help of search engines. In this paper, we describe the concept of lexicalized patterns, which we exploit to obtain statistical information using the simple string matching strategy via search engines. We discuss the usage of lexicalized statistical patterns at three linguistic levels of Chinese analysis: lexical, syntactic and semantic. We develop a specialized search engine to get frequency counts for these patterns on SogouT corpus. Experimental results show that lexicalized statistical patterns are effective on analyzing the cohesion of phrases, determining the phrasal category and discovering patient objects.
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References
Bansal, M., Klein, D.: Web-scale features for full-scale parsing. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (2011)
Curran, J.R., Moens, M.: Scaling context space. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, PA, USA (2002)
Keller, F., Lapata, M., Ourioupina, O.: Using the web to overcome data sparseness. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, Philadelphia (2002)
Lapata, M., Keller, F.: The Web as a baseline: Evaluating the performance of unsupervised Web-based models for a range of NLP tasks. In: Proceedings of HLT-NAACL (2004)
Volk, M.: Exploiting the WWW as a corpus to resolve PP attachment ambiguities. In: Proceedings of the Corpus Linguistics 2001 Conference, Lancaster, UK, pp. 601–606 (2001)
Yates, A., Schoenmackers, S., Etzioni, O.: Detecting parser errors using web-based semantic filters. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2006)
Yuan, Y.: A Cognitive Investigation and Fuzzy Classification of Word-class in Mandarin Chinese. Shanghai Educational Publising House (2009)
Yuan, Y.: Beijing Language and Culture University Press (2010)
Zhang, Y., Clark, S.: Syntactic processing using the generalized perceptron and beam search. Computational Linguistics 37(1), 105–151 (2011)
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Zhao, Y., Sun, M. (2013). Exploiting Lexicalized Statistical Patterns in Chinese Linguistic Analysis. In: Sun, M., Zhang, M., Lin, D., Wang, H. (eds) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. NLP-NABD CCL 2013 2013. Lecture Notes in Computer Science(), vol 8202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41491-6_22
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DOI: https://doi.org/10.1007/978-3-642-41491-6_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41490-9
Online ISBN: 978-3-642-41491-6
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