Panning for EBMT gold, or 'Remembering not to forget'.
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| Title: | Panning for EBMT gold, or 'Remembering not to forget'. |
|---|---|
| Authors: | Way, Andy1 away@computing.dcu.ie |
| Source: | Machine Translation. Dec2010, Vol. 24 Issue 3/4, p177-208. 32p. |
| Subjects: | Machine translating, Somers, Harold, Recent Advances in Example-Based Machine Translation (Book), Scalability, Corpora |
| Abstract: | very useful service to the example-based machine translation (EBMT) community was provided by Harold Somers in his summary article which appeared in 1999, and was extended in our 2003 book Recent advances in example-based machine translation. As well as providing a comprehensive review of the paradigm, Somers gives a categorisation of the different instantiations of the basic model. In this paper, we provide a complementary view to that of Somers. Today's EBMT systems learn by analogy. Perhaps even more so than statistical models of translation, one might view these systems as being incapable of forgetting. We researchers and system developers, on the other hand, often forget or are ignorant of techniques and models presented in prior research. The primary aim of this paper is to try to ensure that golden nuggets from past (now quite distantly so) EBMT research papers are gathered together and presented here for a new generation of researchers keen to operate in the paradigm, especially given the spate of recent open-source releases of EBMT systems. We revisit the findings of the previous main research papers, relate them to some of the major research efforts which have taken place since then, and examine especially the prophecies given in the older pieces of work to see the extent to which they have been borne out in the newer research. Given the strong convergence between the leading corpus-based approaches to MT, especially since the introduction of phrase-based statistical MT, a further hope is that these findings may also prove useful to researchers and developers in other areas of MT. [ABSTRACT FROM AUTHOR] |
| Copyright of Machine Translation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 60104449 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Panning for EBMT gold, or 'Remembering not to forget'. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Way%2C+Andy%22">Way, Andy</searchLink><relatesTo>1</relatesTo><i> away@computing.dcu.ie</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Machine+Translation%22">Machine Translation</searchLink>. Dec2010, Vol. 24 Issue 3/4, p177-208. 32p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+translating%22">Machine translating</searchLink><br /><searchLink fieldCode="DE" term="%22Somers%2C+Harold%22">Somers, Harold</searchLink><br /><searchLink fieldCode="DE" term="%22Recent+Advances+in+Example-Based+Machine+Translation+%28Book%29%22">Recent Advances in Example-Based Machine Translation (Book)</searchLink><br /><searchLink fieldCode="DE" term="%22Scalability%22">Scalability</searchLink><br /><searchLink fieldCode="DE" term="%22Corpora%22">Corpora</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: very useful service to the example-based machine translation (EBMT) community was provided by Harold Somers in his summary article which appeared in 1999, and was extended in our 2003 book Recent advances in example-based machine translation. As well as providing a comprehensive review of the paradigm, Somers gives a categorisation of the different instantiations of the basic model. In this paper, we provide a complementary view to that of Somers. Today's EBMT systems learn by analogy. Perhaps even more so than statistical models of translation, one might view these systems as being incapable of forgetting. We researchers and system developers, on the other hand, often forget or are ignorant of techniques and models presented in prior research. The primary aim of this paper is to try to ensure that golden nuggets from past (now quite distantly so) EBMT research papers are gathered together and presented here for a new generation of researchers keen to operate in the paradigm, especially given the spate of recent open-source releases of EBMT systems. We revisit the findings of the previous main research papers, relate them to some of the major research efforts which have taken place since then, and examine especially the prophecies given in the older pieces of work to see the extent to which they have been borne out in the newer research. Given the strong convergence between the leading corpus-based approaches to MT, especially since the introduction of phrase-based statistical MT, a further hope is that these findings may also prove useful to researchers and developers in other areas of MT. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Machine Translation is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10590-010-9085-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 177 Subjects: – SubjectFull: Machine translating Type: general – SubjectFull: Somers, Harold Type: general – SubjectFull: Recent Advances in Example-Based Machine Translation (Book) Type: general – SubjectFull: Scalability Type: general – SubjectFull: Corpora Type: general Titles: – TitleFull: Panning for EBMT gold, or 'Remembering not to forget'. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Way, Andy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 09226567 Numbering: – Type: volume Value: 24 – Type: issue Value: 3/4 Titles: – TitleFull: Machine Translation Type: main |
| ResultId | 1 |
