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Machine translation with minimal reliance on parallel resources
This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Stati...
Autores principales: | , , |
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Lenguaje: | eng |
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Springer
2017
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-63107-3 http://cds.cern.ch/record/2282079 |
_version_ | 1780955619383050240 |
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author | Tambouratzis, George Vassiliou, Marina Sofianopoulos, Sokratis |
author_facet | Tambouratzis, George Vassiliou, Marina Sofianopoulos, Sokratis |
author_sort | Tambouratzis, George |
collection | CERN |
description | This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing. |
id | cern-2282079 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
publisher | Springer |
record_format | invenio |
spelling | cern-22820792021-04-21T19:05:07Zdoi:10.1007/978-3-319-63107-3http://cds.cern.ch/record/2282079engTambouratzis, GeorgeVassiliou, MarinaSofianopoulos, SokratisMachine translation with minimal reliance on parallel resourcesMathematical Physics and MathematicsThis book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.Springeroai:cds.cern.ch:22820792017 |
spellingShingle | Mathematical Physics and Mathematics Tambouratzis, George Vassiliou, Marina Sofianopoulos, Sokratis Machine translation with minimal reliance on parallel resources |
title | Machine translation with minimal reliance on parallel resources |
title_full | Machine translation with minimal reliance on parallel resources |
title_fullStr | Machine translation with minimal reliance on parallel resources |
title_full_unstemmed | Machine translation with minimal reliance on parallel resources |
title_short | Machine translation with minimal reliance on parallel resources |
title_sort | machine translation with minimal reliance on parallel resources |
topic | Mathematical Physics and Mathematics |
url | https://dx.doi.org/10.1007/978-3-319-63107-3 http://cds.cern.ch/record/2282079 |
work_keys_str_mv | AT tambouratzisgeorge machinetranslationwithminimalrelianceonparallelresources AT vassilioumarina machinetranslationwithminimalrelianceonparallelresources AT sofianopoulossokratis machinetranslationwithminimalrelianceonparallelresources |