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arXiv.org e-Print Archive
Preprint . 1996
Data sources: arXiv.org e-Print Archive
https://doi.org/10.3115/993268...
Article . 1996 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 1996
License: arXiv Non-Exclusive Distribution
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Article . 1996
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Conference object
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https://dx.doi.org/10.3115/993...
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University of Pennsylvania: ScholaryCommons@Penn
Report . 1996
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https://dx.doi.org/10.3115/993...
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Automatic detection of omissions in translations

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object , Report 01 Jan 1996Embargo end date: 01 Sep 1996 United States Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the 16th conference on Computational linguistics -, volume 2, page 764
Authors: Melamed, I. Dan;

doi: 10.3115/993268.993301 , 10.48550/arxiv.cmp-lg/9609010

arXiv: cmp-lg/9609010

handle: 20.500.14332/37513

Automatic detection of omissions in translations

Abstract

ADOMIT is an algorithm for Automatic Detection of OMIssions in Translations. The algorithm relies solely on geometric analysis of bitext maps and uses no linguistic information. This property allows it to deal equally well with omissions that do not correspond to linguistic units, such as might result from word-processing mishaps. ADOMIT has proven itself by discovering many errors in a hand-constructed gold standard for evaluating bitext mapping algorithms. Quantitative evaluation on simulated omissions showed that, even with today's poor bitext mapping technology, ADOMIT is a valuable quality control tool for translators and translation bureaus.

6 pages, minor revisions on Sept. 30, 1996

Country
United States
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Computation and Language, Computation and Language (cs.CL)

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
Green
bronze