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Anaphora Resolution in Arabic/English Machine Translation Systems - Rania Al-Sabbagh
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Rania Al-Sabbagh:
Anaphora Resolution in Arabic/English Machine Translation Systems - Taschenbuch

ISBN: 9783838386843

ID: 9783838386843

A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance. Anaphora Resolution in Arabic/English Machine Translation Systems: Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance., LAP Lambert Acad. Publ.

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Anaphora Resolution in Arabic/English Machine Translation Systems - Rania Al-Sabbagh
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Anaphora Resolution in Arabic/English Machine Translation Systems - neues Buch

2010, ISBN: 9783838386843

ID: 683600880

Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources; many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance. A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 26.07.2010 Buch (fremdspr.), LAP Lambert Academic Publishing, .201

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Anaphora Resolution in Arabic/English Machine Translation Systems - Rania Al-Sabbagh
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Anaphora Resolution in Arabic/English Machine Translation Systems - neues Buch

ISBN: 9783838386843

ID: df89d18fdca051053e89655cf9e914fc

A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources; many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-8383-8684-3, LAP Lambert Academic Publishing

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Anaphora Resolution in Arabic/English Machine Translation Systems - Rania Al-Sabbagh
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Rania Al-Sabbagh:
Anaphora Resolution in Arabic/English Machine Translation Systems - neues Buch

ISBN: 9783838386843

ID: 752596564

Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources; many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance. A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing

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Anaphora Resolution in Arabic/English Machine Translation Systems - gebunden oder broschiert

ISBN: 9783838386843

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Anaphora Resolution in Arabic/English Machine Translation Systems:A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Rania Al-Sabbagh Anaphora Resolution in Arabic/English Machine Translation Systems:A Statistical, Knowledge-Poor Approach to Arabic Pronominal Anaphora Resolution Rania Al-Sabbagh Bücher > Wissenschaft > Sprachwissenschaft, LAP Lambert Acad. Publ.

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Details zum Buch
Anaphora Resolution in Arabic/English Machine Translation Systems

Anaphora Resolution (AR) is the process of determining the antecedent of a given anaphor. The present book focuses on pronominal AR in Modern Standard Arabic (MSA) which is a crucially required task for many Natural Language Processing (NLP) applications, including but not limited to Machine Translation (MT). Current MT systems poorly handle anaphora resolution when working on Arabic-English translation or vice versa, given that anaphora resolution is one of the least studied issues in Arabic NLP due to the fact that AR requires many NLP morphological, semantic and syntactic tools and resources; many of which are not available for MSA. Motivated by the poor performance of current MT systems in terms of Arabic AR and the lack of sufficient NLP research on the issue, this book proposes a statistical, corpus-based approach to AR in MSA that successfully overcomes the major bottleneck of Arabic NLP, namely the lack of basic language processing tools and resources. Such an approach achieves a promising performance rate of 87.6% and sheds light on further future work which can significantly improve performance.

Detailangaben zum Buch - Anaphora Resolution in Arabic/English Machine Translation Systems


EAN (ISBN-13): 9783838386843
ISBN (ISBN-10): 3838386841
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: LAP Lambert Acad. Publ.
104 Seiten
Gewicht: 0,173 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 04.05.2008 00:47:59
Buch zuletzt gefunden am 12.07.2017 17:01:49
ISBN/EAN: 9783838386843

ISBN - alternative Schreibweisen:
3-8383-8684-1, 978-3-8383-8684-3


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