2013年
A Heuristic Framework for Pivot-Based Bilingual Dictionary Induction.
Proceedings - 2013 International Conference on Culture and Computing, Culture and Computing 2013
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- 開始ページ
- 111
- 終了ページ
- 116
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/CultureComputing.2013.27
- 出版者・発行元
- IEEE Computer Society
High quality machine readable dictionaries are very useful, but such resources are rarely available for lower-density language pairs, especially for those that are closely related. In this paper, we proposed a heuristic framework that aims at inducing one-to-one mapping dictionary of a closely related language pair from available dictionaries where a distant language is involved. The key insight of the framework is the ability to create heuristics by using distant language as pivot, incorporate given heuristics, and an iterative induction mechanism that human interaction can be potentially integrated. An experiment based on basic heuristics regarding syntactics and semantics resulted in up to 85.2% correctness in target dictionary with correctness of major part reached 95.3%, which proved that we can perform automated creation of a high quality dictionary with our framework. © 2013 IEEE.
- リンク情報
- ID情報
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- DOI : 10.1109/CultureComputing.2013.27
- DBLP ID : conf/culture/MairidanIL13
- SCOPUS ID : 84893252484