SCS Undergraduate Thesis Topics

Student Advisor(s) Thesis Topic
Ridy Lie Jaime Carbonell An Alignment Algorithm for Example-Based Machine Translation

In this increasingly integral world, language barriers often prove to be a noteworthy hurdle in human interaction. For this purpose, Example-based Machine Translation (EBMT) has been used extensively in translating a human language to another, due to its efficiency and minimal need of linguistic knowledge. However, the accuracy of the translations by has been hampered by mediocre alignment algorithms that result in limited high-quality mappings of identified phrases. The goal of this research is to significantly improve the quality of phrasal alignments, while conserving the efficiency of EBMT, to ultimately enhance the accuracy of translation.

Close this window