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Transliterated Named Entity Recognition Based on Chinese Word Sketch

PETR ŠIMON

TIGP CLCLP, Academia Sinica, Yanjiuyuan Rd. 115, Taipei, Taiwan

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CHU-REN HUANG

Institute of Linguistics, Academia Sinica, Yanjiuyuan Rd. 115, Taipei, Taiwan

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SHU-KAI HSIEH

Department of English, National Taiwan Normal University, 162, HePing East Road, Sec. 1, Taipei, Taiwan

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, and

JIA-FEI HONG

Graduate Institute of Linguistics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan

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https://doi.org/10.1142/S1793840608001780Cited by:0 (Source: Crossref)

Abstract

One unique challenge in Chinese Language Processing is cross-strait named entity recognition. Due to the adoption of different transliteration strategies, foreign name transliterations can vary greatly between the PRC and Taiwan, creating difficulties in NLP tasks including data mining, translation and information retrieval. In this paper, we introduce a novel approach to automatic extraction of divergent transliterations of foreign named entities that bootstraps co-occurrence statistics from tagged Chinese corpora, thereby producing higher precision.

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References

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Transliterated Named Entity Recognition Based on Chinese Word Sketch

Abstract

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