Abstract
Verb has always been an important yet challenging topic in linguistic research. The secondary classification of verbs is of great value for language ontology and language applied research. This paper investigated the computer recognition of autonomous verbs and constructed rules for recognizing such verbs, which is based on the contextual characteristics of automatic verbs and some natural annotation information (mainly punctuations and position information). A rule-based automatic recognition algorithm was thus devised. The F1 value of the algorithm is 86.3% on the manually labeled test data.
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References
Ma, Q.: The Chinese verb and verbal constructions (in Chinese). Peking University Press, Beijing (2004).
Ma, Q.: Autonomous verbs and non-autonomous verbs (in Chinese). Journal of Chinese Linguistics 3, 157-180 (1988).
Yuan, M.: A further discussion on the classification of non-autonomous verbs (in Chinese). Studies of the Chinese Language 4, 262-268 (1992).
Jiang, W.: On verbs of sensation or feelings (in Chinese). The Northern Forum 5, 61-63(2004).
Liu, C.: “N de A” phrase and non-autonomous verbs (in Chinese). Applied Linguistic Research7,35-36(2010).
Qiao, Q.: The research on semantic category of Chinese verb “Autonomous/non-autonomous” (in Chinese). Journal of Jilin Architectural and Civil Engineering 26, 117-120 (2009).
Gao, P.: Research on verb’s restrictions in the format of “V + Yi-xia” (in Chinese). Journal of Gansu Radio& TV University 18(2), 16-18 (2008).
Zhou, X., Deng, X.: A comparative analysis on “Yizai” and “zaisan” (in Chinese). Chinese Language Learning 1, 61-64 (2002).
Wang, Z.: The choice of autonomous and non-autonomous verbs by passive expressions (in Chinese). Chinese Language Learning 6, 17-22 (2004).
Kang, S.: The development and application of modern Chinese new words information (electronic) dictionary (in Chinese). Lexicographical Studies 2, 55-63 (2001).
Lu, J.: Modern Chinese grammar research tutoria (in Chinese). Peking University Press, Beijing (2003).
Song, R.: On the fundamentality of language knowledge in NLP (in Chinese). Xiyuan Press, Beijing (2007).
Sun, M.: Natural language processing based on naturally annotated web resources (in Chinese). Journal of Chinese Information Processing 25(6), 26-32, (2011).
Xun, E., Rao, G., Xiao, X., Zang, J.: The construction of the BCC corpus in the age of big data (in Chinese). Corpus Linguistics 3(1), 93-109 (2016).
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Wang, C., Xun, E. (2018). Research on the Recognition of Chinese Autonomous Verbs Based on Semantic Selection Restriction and Natural Annotation Information. In: Wu, Y., Hong, JF., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2017. Lecture Notes in Computer Science(), vol 10709. Springer, Cham. https://doi.org/10.1007/978-3-319-73573-3_21
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DOI: https://doi.org/10.1007/978-3-319-73573-3_21
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