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        <title>Training a Sentence-Level Machine Translation Confidence Measure</title>
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            <title>Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)</title>
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            <namePart type="given">Maria</namePart>
            <namePart type="given">Teresa</namePart>
            <namePart type="family">Lino</namePart>
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        <name type="personal">
            <namePart type="given">Maria</namePart>
            <namePart type="given">Francisca</namePart>
            <namePart type="family">Xavier</namePart>
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            <namePart type="given">Rute</namePart>
            <namePart type="family">Costa</namePart>
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            <publisher>European Language Resources Association (ELRA)</publisher>
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    <abstract>We present a supervised method for training a sentence level confidence measure on translation output using a human-annotated corpus. We evaluate a variety of machine learning methods. The resultant measure, while trained on a very small dataset, correlates well with human judgments, and proves to be effective on one task based evaluation. Although the experiments have only been run on one MT system, we believe the nature of the features gathered are general enough that the approach will also work well on other systems.</abstract>
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%0 Conference Proceedings
%T Training a Sentence-Level Machine Translation Confidence Measure
%A Quirk, Christopher B.
%Y Lino, Maria Teresa
%Y Xavier, Maria Francisca
%Y Ferreira, Fátima
%Y Costa, Rute
%Y Silva, Raquel
%S Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
%D 2004
%8 May
%I European Language Resources Association (ELRA)
%C Lisbon, Portugal
%F quirk-2004-training
%X We present a supervised method for training a sentence level confidence measure on translation output using a human-annotated corpus. We evaluate a variety of machine learning methods. The resultant measure, while trained on a very small dataset, correlates well with human judgments, and proves to be effective on one task based evaluation. Although the experiments have only been run on one MT system, we believe the nature of the features gathered are general enough that the approach will also work well on other systems.
%U http://www.lrec-conf.org/proceedings/lrec2004/pdf/426.pdf

Markdown (Informal)

[Training a Sentence-Level Machine Translation Confidence Measure](http://www.lrec-conf.org/proceedings/lrec2004/pdf/426.pdf) (Quirk, LREC 2004)

• Training a Sentence-Level Machine Translation Confidence Measure (Quirk, LREC 2004)

ACL

• Christopher B. Quirk. 2004. Training a Sentence-Level Machine Translation Confidence Measure. In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04), Lisbon, Portugal. European Language Resources Association (ELRA).