Title

Salinwika: An English-Filipino example-based machine translation system

Date of Publication

2005

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science

Subject Categories

Computer Sciences

College

College of Computer Studies

Department/Unit

Computer Science

Thesis Adviser

Ethel Ong

Defense Panel Member


Michelle Wendy Tan
Allan Borra

Abstract/Summary

SalinWika is an Example-Based Machine Translation (EBMT) system that allows users to translate English sentences into Filipino. The system features machine learning of translation templates, which are generated from the corpus. SalinWika Machine Translation is composed of five (5) major component: the Lexicon, the Corpus, the Translation, the Learning, and the Input Processing. Based on the results, the system was able to translate sentences that are similar to the translation templates or that are not in the domain as long as there are templates that correspond with the sentences.

Keywords: EBMT, Machine Learning, translation templates, corpus, lexicon.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU13614

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) : ill. (some col.) ; 28 cm.

Keywords

English language--Machine translating--Software; English language--Translating into Filipino-- Software; English language--Study and teaching-- Foreign speakers--Filipino

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