A Method for Selecting Noun Sense using Co-occurrence Relation in English-Korean Translation

TL;DR

This paper proposes a method to improve English-Korean machine translation by selecting noun senses based on contextual co-occurrence relations, addressing the challenge of syntactic differences.

Contribution

It introduces a novel approach utilizing co-occurrence relations for noun sense disambiguation in English-Korean translation.

Findings

Enhanced noun sense selection accuracy

Improved translation quality in experiments

Effective handling of syntactic differences

Abstract

The sense analysis is still critical problem in machine translation system, especially such as English-Korean translation which the syntactical different between source and target languages is very great. We suggest a method for selecting the noun sense using contextual feature in English-Korean Translation.