Models for Inuktitut-English Word Alignment

This paper presents a set of techniques for bitext word alignment, optimized for a language pair with the characteristics of Inuktitut-English. The resulting systems exploit cross-lingual affinities at the sublexical level of syllables and substrings, as well as regular patterns of transliteration a...

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Main Authors: Charles Schafer, Elliott Franco Drabek
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2005
Subjects:
inuktitut
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8482
http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.59.8482 2023-05-15T16:55:34+02:00 Models for Inuktitut-English Word Alignment Charles Schafer Elliott Franco Drabek The Pennsylvania State University CiteSeerX Archives 2005 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8482 http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8482 http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf text 2005 ftciteseerx 2016-01-08T13:28:21Z This paper presents a set of techniques for bitext word alignment, optimized for a language pair with the characteristics of Inuktitut-English. The resulting systems exploit cross-lingual affinities at the sublexical level of syllables and substrings, as well as regular patterns of transliteration and the tendency towards monotonicity of alignment. Our most successful systems were based on classifier combination, and we found different combination methods performed best under the target evaluation metrics of F-measure and alignment error rate. Text inuktitut Unknown
institution Open Polar
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language English
description This paper presents a set of techniques for bitext word alignment, optimized for a language pair with the characteristics of Inuktitut-English. The resulting systems exploit cross-lingual affinities at the sublexical level of syllables and substrings, as well as regular patterns of transliteration and the tendency towards monotonicity of alignment. Our most successful systems were based on classifier combination, and we found different combination methods performed best under the target evaluation metrics of F-measure and alignment error rate.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Charles Schafer
Elliott Franco Drabek
spellingShingle Charles Schafer
Elliott Franco Drabek
Models for Inuktitut-English Word Alignment
author_facet Charles Schafer
Elliott Franco Drabek
author_sort Charles Schafer
title Models for Inuktitut-English Word Alignment
title_short Models for Inuktitut-English Word Alignment
title_full Models for Inuktitut-English Word Alignment
title_fullStr Models for Inuktitut-English Word Alignment
title_full_unstemmed Models for Inuktitut-English Word Alignment
title_sort models for inuktitut-english word alignment
publishDate 2005
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8482
http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf
genre inuktitut
genre_facet inuktitut
op_source http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.8482
http://acl.ldc.upenn.edu/W/W05/W05-0811.pdf
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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