Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/80382
Title: An HPSG-based Shared-Grammar for the Chinese Languages: ZHONG [|]
Authors: Fan, Zhenzhen
Song, Sanghoun
Bond, Francis
Keywords: Linguistics and Multilingual Studies
Issue Date: 2015
Source: Fan, Z., Song, S., & Bond, F. (2015). An HPSG-based Shared-Grammar for the Chinese Languages: ZHONG [|]. Proceedings of the Grammar Engineering Across Frameworks (GEAF) Workshop, 53rd Annual Meeting of the ACL and 7th IJCNLP, 17–24.
Abstract: This paper introduces our attempts to model the Chinese language using HPSG and MRS. Chinese refers to a family of various languages including Mandarin Chinese, Cantonese, Min, etc. These languages share a large amount of structure , though they may differ in orthogra-phy, lexicon, and syntax. To model these, we are building a family of grammars: ZHONG [ ]. This grammar contains in-stantiations of various Chinese languages, sharing descriptions where possible. Currently we have prototype grammars for Cantonese and Mandarin in both simplified and traditional script, all based on a common core. The grammars also have facilities for robust parsing, sentence generation , and unknown word handling.
URI: https://hdl.handle.net/10356/80382
http://hdl.handle.net/10220/40507
Rights: © 2015 Association for Computational Linguistics. This paper was published in Proceedings of the Grammar Engineering Across Frameworks (GEAF) Workshop, 53rd Annual Meeting of the ACL and 7th IJCNLP and is made available as an electronic reprint (preprint) with permission of Association for Computational Linguistics. The published version is available at: [https://www.semanticscholar.org/paper/An-HPSG-based-Shared-Grammar-for-the-Chinese-Fan-Sanghoun/87cd03059d5814bf569fac735a94445a1514398b]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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