Phrase database Approach to structural and semantic disambiguation in English-Korean Machine Translation

TL;DR

This paper proposes a bilingual phrase database to improve structural and semantic disambiguation in English-Korean machine translation, addressing issues caused by idiomatic and non-grammatical phrases.

Contribution

It introduces a new approach using a phrase database to resolve ambiguities in EKMT, including methods for database construction and application.

Findings

Enhanced translation accuracy for idiomatic phrases

Reduction in structural ambiguities during parsing

Improved semantic clarity in translations

Abstract

In machine translation it is common phenomenon that machine-readable dictionaries and standard parsing rules are not enough to ensure accuracy in parsing and translating English phrases into Korean language, which is revealed in misleading translation results due to consequent structural and semantic ambiguities. This paper aims to suggest a solution to structural and semantic ambiguities due to the idiomaticity and non-grammaticalness of phrases commonly used in English language by applying bilingual phrase database in English-Korean Machine Translation (EKMT). This paper firstly clarifies what the phrase unit in EKMT is based on the definition of the English phrase, secondly clarifies what kind of language unit can be the target of the phrase database for EKMT, thirdly suggests a way to build the phrase database by presenting the format of the phrase database with examples, and finally discusses briefly the method to apply this bilingual phrase database to the EKMT for structural and semantic disambiguation.