A new hybrid metric for verifying parallel corpora of Arabic-English

S.M. Alkahtani; S. Alkahtani; W. Liu; W.J. Teahan

A new hybrid metric for verifying parallel corpora of Arabic-English

S.M. Alkahtani, S. Alkahtani, W. Liu, W.J. Teahan

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Abstract

This paper discusses a new metric that has been applied to verify the quality in translation between sentence pairs in parallel corpora of Arabic-English. This metric combines two techniques, one based on sentence length and the other based on compression code length. Experiments on sample test parallel Arabic-English corpora indicate the combination of these two techniques improves accuracy of the identification of satisfactory and unsatisfactory sentence pairs compared to sentence length and compression code length alone. The new method proposed in this research is effective at filtering noise and reducing mis-translations resulting in greatly improved quality

Original language	English
Publication status	Published - 24 Jan 2015
Event	The Fifth International Conference on Computer Science, Engineering and Applications (ICCSEA), Dubai, UAE. January 23-24, 2015 - Duration: 3 Jan 0001 → …

Conference

Conference	The Fifth International Conference on Computer Science, Engineering and Applications (ICCSEA), Dubai, UAE. January 23-24, 2015
Period	3/01/01 → …

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PDB6348-00.pdfAccepted author manuscript, 2.18 MB

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title = "A new hybrid metric for verifying parallel corpora of Arabic-English",

abstract = "This paper discusses a new metric that has been applied to verify the quality in translation between sentence pairs in parallel corpora of Arabic-English. This metric combines two techniques, one based on sentence length and the other based on compression code length. Experiments on sample test parallel Arabic-English corpora indicate the combination of these two techniques improves accuracy of the identification of satisfactory and unsatisfactory sentence pairs compared to sentence length and compression code length alone. The new method proposed in this research is effective at filtering noise and reducing mis-translations resulting in greatly improved quality",

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AU - Liu, W.

AU - Teahan, W.J.

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Y1 - 2015/1/24

N2 - This paper discusses a new metric that has been applied to verify the quality in translation between sentence pairs in parallel corpora of Arabic-English. This metric combines two techniques, one based on sentence length and the other based on compression code length. Experiments on sample test parallel Arabic-English corpora indicate the combination of these two techniques improves accuracy of the identification of satisfactory and unsatisfactory sentence pairs compared to sentence length and compression code length alone. The new method proposed in this research is effective at filtering noise and reducing mis-translations resulting in greatly improved quality

AB - This paper discusses a new metric that has been applied to verify the quality in translation between sentence pairs in parallel corpora of Arabic-English. This metric combines two techniques, one based on sentence length and the other based on compression code length. Experiments on sample test parallel Arabic-English corpora indicate the combination of these two techniques improves accuracy of the identification of satisfactory and unsatisfactory sentence pairs compared to sentence length and compression code length alone. The new method proposed in this research is effective at filtering noise and reducing mis-translations resulting in greatly improved quality

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M3 - Paper

T2 - The Fifth International Conference on Computer Science, Engineering and Applications (ICCSEA), Dubai, UAE. January 23-24, 2015

Y2 - 3 January 0001

ER -

A new hybrid metric for verifying parallel corpora of Arabic-English

Abstract

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