Cross-Lingual Preposition Disambiguation for Machine Translation

被引:4
作者
Kumar, M. Anand [1 ]
Rajendran, S. [1 ]
Soman, K. P. [1 ]
机构
[1] Amrita Vishwa Vidyapeetham, Ctr Excellence Computat Engn & Networking, Coimbatore 641112, Tamil Nadu, India
来源
ELEVENTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2015/INDIA ELEVENTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2015/NDIA ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2015 | 2015年 / 54卷
关键词
Feature extraction; Machine learning; Machine translation; Natural language processing; Preposition disambiguation;
D O I
10.1016/j.procs.2015.06.034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a supervised prepositional ambiguity resolution method for machine translation models in which the target language is Tamil and source language is English. We restrict our transfer ambiguity resolution problem with few prepositions only. This resolution method is based on supervised models which exploit collocation occurrences and linguistic information as features. This attempt will rectify the challenges in handling prepositions in English to Tamil automatic translation system. The preliminary results obtained from the evaluation shows that the proposed method is suitable for preposition resolution problem. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:291 / 300
页数:10
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