Jack Halpern


2018

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Very Large-Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation
Jack Halpern
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2016

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Linguistic Issues in the Machine Transliteration of Chinese, Japanese and Arabic Names
Jack Halpern
Proceedings of the Sixth Named Entity Workshop

2008

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Exploiting Lexical Resources for Disambiguating CJK and Arabic Orthographic Variants
Jack Halpern
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)

The orthographical complexities of Chinese, Japanese, Korean (CJK) and Arabic pose a special challenge to developers of NLP applications. These difficulties are exacerbated by the lack of a standardized orthography in these languages, especially the highly irregular Japanese orthography and the ambiguities of the Arabic script. This paper focuses on CJK and Arabic orthographic variation and provides a brief analysis of the linguistic issues. The basic premise is that statistical methods by themselves are inadequate, and that linguistic knowledge supported by large-scale lexical databases should play a central role in achieving high accuracy in disambiguating and normalizing orthographic variants.

2006

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The Role of Lexical Resources in CJK Natural Language Processing
Jack Halpern
Proceedings of the Fifth SIGHAN Workshop on Chinese Language Processing

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The Role of Lexical Resources in CJK Natural Language Processing
Jack Halpern
Proceedings of the Workshop on Multilingual Language Resources and Interoperability

2002

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Lexicon-based Orthographic Disambiguation in CJK Intelligent Information Retrieval
Jack Halpern
COLING-02: The 3rd Workshop on Asian Language Resources and International Standardization

1999

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The pitfalls and complexities of Chinese to Chinese conversion
Jack Halpern | Jouni Kerman
Proceedings of Machine Translation Summit VII

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