Date of Publication

12-2022

Document Type

Master's Thesis

Degree Name

Bachelor of Science (Honors) in Computer Science and Master of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Software Technology

Thesis Advisor

Charibeth K. Cheng

Defense Panel Chair

Joel Ilao

Defense Panel Member

Nathalie Rose Lim-Cheng
Charibeth K. Cheng

Abstract/Summary

Multilingual neural machine translation (MNMT) is a single model capable of translating several language directions. This has been shown to aid in translating low-resource languages such as Philippine languages. Moreover, there is also the empirical observation that clustering linguistically similar languages together can further aid translation performance. Based on these, we propose to develop multilingual Filipino neural machine translation systems wherein Philippine languages are clustered into different groups based on previous computational works and in linguistics studies. As such, several cluster-specific models were built, based around language families or other computational frameworks centered around the language relatedness of English, and eight (8) Philippine languages. Explorations were also made as to the choice of pivot language when performing pivot-based translation. Experiments show that the use of language clusters give comparable to or higher translation scores than using a baseline universal model, such as Tagalog, Cebuano and Hiligaynon being more likely to perform better with each other. Experiments also show that pivot-based translation still scores higher than zero-shot translation, and that English is still the best pivot to be used in a universal translation model setting. Finally, some issues are discussed with regards to the use of conventional automatic metrics on translation outputs concerning Philippine languages.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

186 leaves

Keywords

Natural language processing (Computer science); Philippine languages--Machine translating

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Embargo Period

12-12-2022

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