TREQ-AL: a word alignment system with limited language resources

Authors:
Dan Tufiş;Ana-Maria Barbu;Radu Ion
Affiliations:
Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania;Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania;Romanian Academy Institute for Artificial Intelligence, Bucharest, Romania
Venue:
HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
Year:
2003

Citing 2
Cited 4

A cheap and fast way to build useful translation lexicons

COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Sense discrimination with parallel corpora

WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8

An evaluation exercise for word alignment

HLT-NAACL-PARALLEL '03 Proceedings of the HLT-NAACL 2003 Workshop on Building and using parallel texts: data driven machine translation and beyond - Volume 3
Fine-grained word sense disambiguation based on parallel corpora, word alignment, word clustering and aligned wordnets

COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Word sense disambiguation: a case study on the granularity of sense distinctions

ISPRA'05 Proceedings of the 4th WSEAS International Conference on Signal Processing, Robotics and Automation
Combined word alignments

ParaText '05 Proceedings of the ACL Workshop on Building and Using Parallel Texts

Quantified Score

Hi-index	0.00

Visualization

Abstract

We provide a rather informal presentation of a prototype system for word alignment based on our previous translation equivalence approach, discuss the problems encountered in the shared-task on word-aligning of a parallel Romanian-English text, present the preliminary evaluation results and suggest further ways of improving the alignment accuracy.