Chua, Chongchai and Lim, Tek Yong and Soon, Layki and Tang, Enyakong and Ranaivo-Malançon, Bali (2017) Meaning preservation in Example-based Machine Translation with structural semantics. Expert Systems with Applications, 78. pp. 242-258. ISSN 0957-4174
The main tasks in Example-based Machine Translation (EBMT) comprise of source text decomposition, following with translation examples matching and selection, and finally adaptation and recombination of the target translation. As the natural language is ambiguous in nature, the preservation of source text's meaning throughout these processes is complex and challenging. A structural semantics is introduced, as an attempt towards meaning-based approach to improve the EBMT system. The structural semantics is used to support deeper semantic similarity measurement and impose structural constraints in translation examples selection. A semantic compositional structure is derived from the structural semantics of the selected translation examples. This semantic compositional structure serves as a representation structure to preserve the consistency and integrity of the input sentence's meaning structure throughout the recombination process. In this paper, an English to Malay EBMT system is presented to demonstrate the practical application of this structural semantics. Evaluation of the translation test results shows that the new translation framework based on the structural semantics has outperformed the previous EBMT framework.
|Uncontrolled Keywords:||Example-based Machine Translation; Structured String-Tree Correspondence; Synchronous Structured String-Tree Correspondence; Structural semantics; Semantic roles, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, Research, Universiti Malaysia Sarawak|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology|
|Date Deposited:||12 Apr 2017 06:57|
|Last Modified:||12 Apr 2017 06:57|
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