Analogical-Based Translation Hypothesis Derivation with Structural Semantics for English to Malay Example-Based Machine Translation

Citation

Lim, Tek Yong and Soon, Lay Ki and Chua, Chong Chai and Tang, Enya Kong and Bali, Ranaivo-Malançon (2018) Analogical-Based Translation Hypothesis Derivation with Structural Semantics for English to Malay Example-Based Machine Translation. Advanced Science Letters, 24 (2). 1263-1267(5). ISSN 1936-6612

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Abstract

An analogical-based approach towards meaning preservation by transferring the source language meaning structure to the target language in the recombination process of an English to Malay Example-based Machine Translation system is presented. The meaning structure is built on top of the current synchronized translation examples pair representation with the incorporation of a layer of semantic annotation at the structural level. This meaning structure provides a consistent medium allowing the derivation of translation hypothesis using analogical-based approach throughout the automated translation process. The complexity of the structural transformation in the final recombination process is relaxed with this analogical-based derivation approach. The preliminary experiment demonstrates that the English to Malay automated translation is improved using the analogical-based approach. The best evaluation score is obtained using the Bilingual Evaluation Understudy metric, showing improvement of 37.06%.

Item Type: Article
Uncontrolled Keywords: Semantic computing, Analogical-Based, Example-Based Machine Translation, Semantic Annotation
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 16 Aug 2021 14:37
Last Modified: 16 Aug 2021 14:37
URII: http://shdl.mmu.edu.my/id/eprint/7693

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