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
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
Recommended Citation
Bautista, M. V., Fule, M. U., Gaw, K., & Hernandez, K. B. (2005). Salinwika: An English-Filipino example-based machine translation system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14209
