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        <title>courses:rg:2011:bleu-a-method-for-automatic-evaluation-of-machine-translation</title>
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        <description>BLEU: a Method for Automatic Evaluation of Machine Translation

written by Kishore Papineni, Salim Roukos, Todd Ward and Wei-Jing Zhu (IBM T. J. Watson Research Center)

spoken by Petr Jankovský

reported by Petra Galuščáková

Introduction

The presented paper is one of the basic papers on machine translation (MT) evaluation. Paper describes BLEU score, what is probably currently most often used metrics for MT evaluation. Paper was written in 2001 and it is still often cited despite that a lot o…</description>
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        <dc:date>2012-01-08T22:27:21+00:00</dc:date>
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        <title>courses:rg:2011:deciphering_foreign_language</title>
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        <description>Deciphering Foreign Language

Scriber: Ke. T

The talk is about how to tackle MT without parallel training data.

Section 1

Given sentence pairs (e,f) where e is an English sentence and f is a foreign sentence, the translation model estimates parameter 
&lt;latex&gt;\theta&lt;/latex&gt; such that
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\mathop {\arg \max }\limits_\theta  \prod\limits_\theta  {p_\theta  (f|e)} 
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        <dc:date>2012-01-02T23:22:28+00:00</dc:date>
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        <title>courses:rg:2011:error_classification_of_mt</title>
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        <description>From Human to Automatic Error Classification for Machine Translation Output

by Maja Popovic and Aljoscha Burchardt (German Research Center for Artifficial Intelligence - Language Technology Group, Berlin)

talk by Petra Galuščáková
report by Jindřich Libovický</description>
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