A resource-light approach to morpho-syntactic tagging /:
While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic a...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam ; New York, NY :
Rodopi,
2010.
|
Schriftenreihe: | Language and computers ;
no. 70. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian. Although these languages are only relatively resource-poor, the same method can be in principle applied to any inflected language, as long as there is an annotated corpus of a related language available. Time needed for adjusting the system to a new language constitutes a fraction of the time needed for systems with extensive, manually created resources: days instead of years. This book touches upon a number of topics: typology, morphology, corpus linguistics, contrastive linguistics, linguistic annotation, computational linguistics and Natural Language Processing (NLP). Researchers and students who are interested in these scientific areas as well as in cross-lingual studies and applications will greatly benefit from this work. Scholars and practitioners in computer science and linguistics are the prospective readers of this book. |
Beschreibung: | 1 online resource (xiv, 185 pages :) |
Bibliographie: | Includes bibliographical references (pages 133-148) and index. |
ISBN: | 9789042027695 904202769X 9042027681 9789042027688 |
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520 | |a While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian. Although these languages are only relatively resource-poor, the same method can be in principle applied to any inflected language, as long as there is an annotated corpus of a related language available. Time needed for adjusting the system to a new language constitutes a fraction of the time needed for systems with extensive, manually created resources: days instead of years. This book touches upon a number of topics: typology, morphology, corpus linguistics, contrastive linguistics, linguistic annotation, computational linguistics and Natural Language Processing (NLP). Researchers and students who are interested in these scientific areas as well as in cross-lingual studies and applications will greatly benefit from this work. Scholars and practitioners in computer science and linguistics are the prospective readers of this book. | ||
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author | Feldman, Anna |
author2 | Hana, Jirka |
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author_GND | http://id.loc.gov/authorities/names/no2010013525 http://id.loc.gov/authorities/names/no2010013526 |
author_facet | Feldman, Anna Hana, Jirka |
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contents | Preliminary Material -- Introduction -- Common tagging techniques -- Previous resource-light approaches to NLP -- Languages, corpora and tagsets -- Quantifying language properties -- Resource-light morphological analysis -- Cross-language morphological tagging -- Summary and further work -- Bibliography -- Tagsets we use -- Corpora -- Language properties -- Citation Index. |
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discipline | Sprachwissenschaft |
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series2 | Language and computers : studies in practical linguistics ; |
spelling | Feldman, Anna. http://id.loc.gov/authorities/names/no2010013525 A resource-light approach to morpho-syntactic tagging / Anna Feldman and Jirka Hana. Amsterdam ; New York, NY : Rodopi, 2010. 1 online resource (xiv, 185 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier Language and computers : studies in practical linguistics ; no. 70 Includes bibliographical references (pages 133-148) and index. Print version record. Preliminary Material -- Introduction -- Common tagging techniques -- Previous resource-light approaches to NLP -- Languages, corpora and tagsets -- Quantifying language properties -- Resource-light morphological analysis -- Cross-language morphological tagging -- Summary and further work -- Bibliography -- Tagsets we use -- Corpora -- Language properties -- Citation Index. While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian. Although these languages are only relatively resource-poor, the same method can be in principle applied to any inflected language, as long as there is an annotated corpus of a related language available. Time needed for adjusting the system to a new language constitutes a fraction of the time needed for systems with extensive, manually created resources: days instead of years. This book touches upon a number of topics: typology, morphology, corpus linguistics, contrastive linguistics, linguistic annotation, computational linguistics and Natural Language Processing (NLP). Researchers and students who are interested in these scientific areas as well as in cross-lingual studies and applications will greatly benefit from this work. Scholars and practitioners in computer science and linguistics are the prospective readers of this book. Grammar, Comparative and general Morphosyntax. http://id.loc.gov/authorities/subjects/sh99001843 Computational linguistics. http://id.loc.gov/authorities/subjects/sh85077224 Language transfer (Language learning) http://id.loc.gov/authorities/subjects/sh85074571 Cross-language information retrieval. http://id.loc.gov/authorities/subjects/sh98002012 Morphosyntaxe. Linguistique informatique. Transfert (Apprentissage d'une langue) Recherche multilingue d'information. computational linguistics. aat LANGUAGE ARTS & DISCIPLINES Grammar & Punctuation. bisacsh LANGUAGE ARTS & DISCIPLINES Linguistics Syntax. bisacsh Computational linguistics fast Cross-language information retrieval fast Grammar, Comparative and general Morphosyntax fast Language transfer (Language learning) fast Hana, Jirka. http://id.loc.gov/authorities/names/no2010013526 has work: A resource-light approach to morpho-syntactic tagging (Text) https://id.oclc.org/worldcat/entity/E39PCGVvchX7CRpyKcYbp8xfVP https://id.oclc.org/worldcat/ontology/hasWork Print version: Feldman, Anna. Resource-light approach to morpho-syntactic tagging. Amsterdam : Rodopi, 2010 9789042027688 (OCoLC)497573700 Language and computers ; no. 70. http://id.loc.gov/authorities/names/n86716127 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=307510 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=307510 Volltext |
spellingShingle | Feldman, Anna A resource-light approach to morpho-syntactic tagging / Language and computers ; Preliminary Material -- Introduction -- Common tagging techniques -- Previous resource-light approaches to NLP -- Languages, corpora and tagsets -- Quantifying language properties -- Resource-light morphological analysis -- Cross-language morphological tagging -- Summary and further work -- Bibliography -- Tagsets we use -- Corpora -- Language properties -- Citation Index. Grammar, Comparative and general Morphosyntax. http://id.loc.gov/authorities/subjects/sh99001843 Computational linguistics. http://id.loc.gov/authorities/subjects/sh85077224 Language transfer (Language learning) http://id.loc.gov/authorities/subjects/sh85074571 Cross-language information retrieval. http://id.loc.gov/authorities/subjects/sh98002012 Morphosyntaxe. Linguistique informatique. Transfert (Apprentissage d'une langue) Recherche multilingue d'information. computational linguistics. aat LANGUAGE ARTS & DISCIPLINES Grammar & Punctuation. bisacsh LANGUAGE ARTS & DISCIPLINES Linguistics Syntax. bisacsh Computational linguistics fast Cross-language information retrieval fast Grammar, Comparative and general Morphosyntax fast Language transfer (Language learning) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh99001843 http://id.loc.gov/authorities/subjects/sh85077224 http://id.loc.gov/authorities/subjects/sh85074571 http://id.loc.gov/authorities/subjects/sh98002012 |
title | A resource-light approach to morpho-syntactic tagging / |
title_auth | A resource-light approach to morpho-syntactic tagging / |
title_exact_search | A resource-light approach to morpho-syntactic tagging / |
title_full | A resource-light approach to morpho-syntactic tagging / Anna Feldman and Jirka Hana. |
title_fullStr | A resource-light approach to morpho-syntactic tagging / Anna Feldman and Jirka Hana. |
title_full_unstemmed | A resource-light approach to morpho-syntactic tagging / Anna Feldman and Jirka Hana. |
title_short | A resource-light approach to morpho-syntactic tagging / |
title_sort | resource light approach to morpho syntactic tagging |
topic | Grammar, Comparative and general Morphosyntax. http://id.loc.gov/authorities/subjects/sh99001843 Computational linguistics. http://id.loc.gov/authorities/subjects/sh85077224 Language transfer (Language learning) http://id.loc.gov/authorities/subjects/sh85074571 Cross-language information retrieval. http://id.loc.gov/authorities/subjects/sh98002012 Morphosyntaxe. Linguistique informatique. Transfert (Apprentissage d'une langue) Recherche multilingue d'information. computational linguistics. aat LANGUAGE ARTS & DISCIPLINES Grammar & Punctuation. bisacsh LANGUAGE ARTS & DISCIPLINES Linguistics Syntax. bisacsh Computational linguistics fast Cross-language information retrieval fast Grammar, Comparative and general Morphosyntax fast Language transfer (Language learning) fast |
topic_facet | Grammar, Comparative and general Morphosyntax. Computational linguistics. Language transfer (Language learning) Cross-language information retrieval. Morphosyntaxe. Linguistique informatique. Transfert (Apprentissage d'une langue) Recherche multilingue d'information. computational linguistics. LANGUAGE ARTS & DISCIPLINES Grammar & Punctuation. LANGUAGE ARTS & DISCIPLINES Linguistics Syntax. Computational linguistics Cross-language information retrieval Grammar, Comparative and general Morphosyntax |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=307510 |
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