<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="el-kahlout-yvon-2010-pay">
    <titleInfo>
        <title>The pay-offs of preprocessing for German-English statistical machine translation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Ilknur</namePart>
        <namePart type="given">Durgar</namePart>
        <namePart type="family">El-Kahlout</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Francois</namePart>
        <namePart type="family">Yvon</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2010-dec 2-3</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 7th International Workshop on Spoken Language Translation: Papers</title>
        </titleInfo>
        <originInfo>
            <place>
                <placeTerm type="text">Paris, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>In this paper, we present the result of our work on improving the preprocessing for German-English statistical machine translation. We implemented and tested various improvements aimed at i) converting German texts to the new orthographic conventions; ii) performing a new tokenization for German; iii) normalizing lexical redundancy with the help of POS tagging and morphological analysis; iv) splitting German compound words with frequency based algorithm and; v) reducing singletons and out-of-vocabulary words. All these steps are performed during preprocessing on the German side. Combining all these processes, we reduced 10% of the singletons, 2% OOV words, and obtained 1.5 absolute (7% relative) BLEU improvement on the WMT 2010 German to English News translation task.</abstract>
    <identifier type="citekey">el-kahlout-yvon-2010-pay</identifier>
    <location>
        <url>https://aclanthology.org/2010.iwslt-papers.6</url>
    </location>
    <part>
        <date>2010-dec 2-3</date>
        <extent unit="page">
            <start>251</start>
            <end>258</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T The pay-offs of preprocessing for German-English statistical machine translation
%A El-Kahlout, Ilknur Durgar
%A Yvon, Francois
%S Proceedings of the 7th International Workshop on Spoken Language Translation: Papers
%D 2010
%8 dec 2 3
%C Paris, France
%F el-kahlout-yvon-2010-pay
%X In this paper, we present the result of our work on improving the preprocessing for German-English statistical machine translation. We implemented and tested various improvements aimed at i) converting German texts to the new orthographic conventions; ii) performing a new tokenization for German; iii) normalizing lexical redundancy with the help of POS tagging and morphological analysis; iv) splitting German compound words with frequency based algorithm and; v) reducing singletons and out-of-vocabulary words. All these steps are performed during preprocessing on the German side. Combining all these processes, we reduced 10% of the singletons, 2% OOV words, and obtained 1.5 absolute (7% relative) BLEU improvement on the WMT 2010 German to English News translation task.
%U https://aclanthology.org/2010.iwslt-papers.6
%P 251-258

Markdown (Informal)

[The pay-offs of preprocessing for German-English statistical machine translation](https://aclanthology.org/2010.iwslt-papers.6) (El-Kahlout & Yvon, IWSLT 2010)

• The pay-offs of preprocessing for German-English statistical machine translation (El-Kahlout & Yvon, IWSLT 2010)

ACL

• Ilknur Durgar El-Kahlout and Francois Yvon. 2010. The pay-offs of preprocessing for German-English statistical machine translation. In Proceedings of the 7th International Workshop on Spoken Language Translation: Papers, pages 251–258, Paris, France.