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» Learning Rules to Improve a Machine Translation System
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COLING
2008
13 years 8 months ago
Improving Alignments for Better Confusion Networks for Combining Machine Translation Systems
The state-of-the-art system combination method for machine translation (MT) is the word-based combination using confusion networks. One of the crucial steps in confusion network d...
Necip Fazil Ayan, Jing Zheng, Wen Wang
ACL
2007
13 years 8 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
ACL
2009
13 years 5 months ago
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
CLIN
2001
13 years 8 months ago
A Named Entity Recognition System for Dutch
We describe a Named Entity Recognition system for Dutch that combines gazetteers, handcrafted rules, and machine learning on the basis of seed material. We used gazetteers and a c...
Fien De Meulder, Walter Daelemans, Véroniqu...
AMTA
1998
Springer
13 years 11 months ago
TransEasy: A Chinese-English Machine Translation System Based on Hybrid Approach
This paper describes the progress of a machine translation system from Chinese to English. The system is based on a reusable platform of MT software components. It's a rule-ba...
Qun Liu, Shiwen Yu