Constrained Partial Parsing Based Dependency Tree Projection for Tree-to-Tree Machine Translation
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- Chu Chenhui
- Japan Science and Technology Agency
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- Shen Yu
- Kyoto University
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- Cromieresy Fabien
- Japan Science and Technology Agency
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- Kurohashi Sadao
- Kyoto University
抄録
<p>Ideally, tree-to-tree machine translation (MT) that utilizes syntactic parse trees onboth source and target sides could preserve non-local structure, and thus generatefluent and accurate translations. In practice, however, firstly, high quality parsers forboth source and target languages are difficult to obtain; secondly, even if we havehigh quality parsers on both sides, they still can be non-isomorphic because of theannotation criterion difference between the two languages. The lack of isomorphismbetween the parse trees makes it difficult to extract translation rules. This extremelylimits the performance of tree-to-tree MT. In this article, we present an approachthat projects dependency parse trees from the language side that has a high qualityparser, to the side that has a low quality parser, to improve the isomorphism of theparse trees. We first project a part of the dependencies with high confidence to makea partial parse tree, and then complement the remaining dependencies with partialparsing constrained by the already projected dependencies. Experiments conductedon the Japanese-Chinese and English-Chinese language pairs show that our proposedmethod significantly improves the performance on both the two language pairs.</p>
収録刊行物
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- Information and Media Technologies
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Information and Media Technologies 12 (0), 172-201, 2017
Information and Media Technologies 編集運営会議
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詳細情報 詳細情報について
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- CRID
- 1390282680240318080
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- NII論文ID
- 130006078764
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- ISSN
- 18810896
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可