Towards Automatic Error Analysis of Machine Translation Output

Evaluation and error analysis of machine translation output are important but difficult tasks. In this article, we propose a framework for automatic error analysis and classification based on the identification of actual erroneous words using the algorithms for computation of Word Error Rate (WER) a...

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Veröffentlicht in:	Computational linguistics - Association for Computational Linguistics 2011-12, Vol.37 (4), p.657-688
Hauptverfasser:	Popović, Maja, Ney, Hermann
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Categories Classification Computer science Error analysis Errors Linguistics Machine translation Translation systems Translations
Online-Zugang:	Volltext
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