A Part-of-Speech Tagging Method for English Essay

doi:10.13190/j.jbupt.2014.06.025

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (6): 120-124.doi: 10.13190/j.jbupt.2014.06.025

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A Part-of-Speech Tagging Method for English Essay

TAN Yong-mei, WU Kun

Center for Intelligence Science and Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2013-07-10 Online:2014-12-28 Published:2014-12-28

Abstract

Abstract:

Part-of-speech tagging for Chinese English learner language is the base of automated essay scoring system. Much of fruitful part-of-speech tagging researches researchers was done, however, most of them are focused on the English essays written by native speaker, there is no research about essays of Chinese English learner. A corpus of Chinese English learner essay are annotated, and a part-of-speech tagging algorithm for Chinese English learner language is presented. This algorithm uses rich features, such as unsupervised word clusters, unsupervised tag dictionary and phonetic normalization. Based on these rich features, the system outperforms the state-of-art tagging on the corpus, and the tagging accuracy is raised from 94.49% to 97.07%.

Key words: part-of-speech tagging, essays of learner, feature, word clustering

CLC Number:

TN911.22

TAN Yong-mei, WU Kun. A Part-of-Speech Tagging Method for English Essay[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 120-124.

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A Part-of-Speech Tagging Method for English Essay

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