Meaning preservation in Example-based Machine Translation with structural semantics

作者：

Highlights：

• Introduce Structural Semantic Annotation to improve English to Malay EBMT System.

• Emphasize meaning structure preservation in the automated translation process.

• Translation examples representation is extended with Structural Semantic Annotation.

• Resolved the fragmentation and inconsistency issues in EBMT system.

• The result of the English to Malay automated translation is improved.

摘要

•Introduce Structural Semantic Annotation to improve English to Malay EBMT System.•Emphasize meaning structure preservation in the automated translation process.•Translation examples representation is extended with Structural Semantic Annotation.•Resolved the fragmentation and inconsistency issues in EBMT system.•The result of the English to Malay automated translation is improved.

论文关键词：Example-based Machine Translation,Structured String-Tree Correspondence,Synchronous Structured String-Tree Correspondence,Structural semantics,Semantic roles

论文评审过程：Received 6 November 2016, Revised 7 February 2017, Accepted 9 February 2017, Available online 10 February 2017, Version of Record 21 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.021