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Cited by 257

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Error Analysis of Statistical Machine Translation Output

Open access
David Vilar, Jia Xu, Luis Fernando D’Haro, Hermann Ney·2006·Language Resources and Evaluation Conference (LREC)

Abstract

Evaluation of automatic translation output is a difficult task.Several performance measures like Word Error Rate, Position Independent Word Error Rate and the BLEU and NIST scores are widely use and provide a useful tool for comparing different systems and to evaluate improvements within a system.However the interpretation of all of these measures is not at all clear, and the identification of the most prominent source of errors in a given system using these measures alone is not possible.Therefore some analysis of the generated translations is needed in order to identify the main problems and to focus the research efforts.This area is however mostly unexplored and few works have dealt with it until now.In this paper we will present a framework for classification of the errors of a machine translation system and we will carry out an error analysis of the system used by the RWTH in the first TC-STAR evaluation.

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Metadata

Authors
Vilar, D., Xu, J., D’Haro, L. F., & Ney, H.
Venue
Language Resources and Evaluation Conference (LREC)
Published
2006-05-01
Pages
697-702
OpenAlex
W2463396630
Cited by
257
References
2
FWCI
4.80
Type
conference paper
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Error Analysis of Statistical Machine Translation Output. https://app.cochat.ai/papers/10.63317/453fcbexxngk
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Vilar, D., Xu, J., D’Haro, L. F., & Ney, H. (2006). Error Analysis of Statistical Machine Translation Output. Language Resources and Evaluation Conference (LREC). https://doi.org/10.63317/453fcbexxngk

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