Verb Semantics and Lexical Selection
Verb Semantics and Lexical Selection
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DOI：
10.3115/981732.981751
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发表时间：
1994-06
期刊：
影响因子：
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通讯作者：
Zhibiao Wu;Martha Palmer
中科院分区：
文献类型：
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作者：
Zhibiao Wu;Martha Palmer
本文将重点研究计算机系统中动词的语义表示及其对机器翻译中词汇选择问题的影响。通过对英汉两组动词的考察，发现词汇选择必须基于对句子的解释以及对动词实参的选择限制。我们提出了一种新的表示方案，并将其与基于迁移的机器翻译中使用的具有选择限制的表示进行了比较。我们认为我们的方法与基于知识的机器翻译方法（KBMT）密切相关，并且作为一个可以并入现有系统的单独组件。实例和实验结果表明，使用该方案，不精确匹配可以实现正确的词汇选择。
This paper will focus on the semantic representation of verbs in computer systems and its impact on lexical selection problems in machine translation (MT). Two groups of English and Chinese verbs are examined to show that lexical selection must be based on interpretation of the sentences as well as selection restrictions placed on the verb arguments. A novel representation scheme is suggested, and is compared to representations with selection restrictions used in transfer-based MT. We see our approach as closely aligned with knowledge-based MT approaches (KBMT), and as a separate component that could be incorporated into existing systems. Examples and experimental results will show that, using this scheme, inexact matches can achieve correct lexical selection.