17 0

A method for English-Korean Target Word Selection Using Multiple Knowledge source

Title
A method for English-Korean Target Word Selection Using Multiple Knowledge source
Author
김한우
Keywords
machine translation; word sense disambiguation; target word; selection
Issue Date
2006-06
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v. E89A, No. 6, Page. 1622-1629
Abstract
Target word selection is one of the most important and difficult tasks in English-Korean Machine Translation. It effects on the overall translation accuracy of machine translation systems. In this paper, we present a new approach to Korean target word selection for an English noun with translation ambiguities using multiple knowledge such as verb frame patterns, sense vectors based on collocations, statistical Korean local context information and co-occurring POS information. Verb frame patterns constructed with dictionary and corpus play an important role in resolving the sparseness problem of collocation data. Sense vectors are a set of collocation data when an English word having target selection ambiguities is to be translated to specific Korean target word. Statistical Korean Local Context Information is an N-gram information generated using Korean corpus. The co-occurring POS information is a statistically significant POS clue which appears with ambiguous word. To evaluate our approach, we applied the method to Tellus-EK* system, English-Korean automatic translation system currently developed at ETRI [1], [2]. The experiment showed promising results for diverse sentences from web documents.
URI
https://search.ieice.org/bin/summary.php?id=e89-a_6_1622http://repository.hanyang.ac.kr/handle/20.500.11754/108118
ISSN
0916-8508; 1745-1337
DOI
10.1093/ietfec/e89-a.6.1622
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE