Natural Language Processing Using Very Large Corpora [electronic resource] / edited by S. Armstrong, Kenneth W. Church, Pierre Isabelle, Sandra Manzi, Evelyne Tzoukermann, David Yarowsky.
Erişim Adresi
ISBN
9789401723909
Dil Kodu
İngilizce
Yer Numarası
DK/8320
Basım Bildirimi
1st ed. 1999.
Yayın Bilgisi
Dordrecht : Springer Netherlands : Imprint: Springer, 1999.
Fiziksel Niteleme
XV, 305 p. online resource.
Dizi
Text, Speech and Language Technology, 2542-9388 ; 11
İçindekiler Notu
Implementation and Evaluation of a German HMM for POS Disambiguation -- Improvements in Part-of-Speech Tagging with an Application To German -- Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging -- Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning -- Example-Based Sense Tagging of Running Chinese Text -- Disambiguating Noun Groupings with Respect to WordNet Senses -- A Comparison of Corpus-based Techniques for Restoring Accents in Spanish and French Text -- Beyond Word N-Grams -- Statistical Augmentation of a Chinese Machine-Readable Dictionary -- Text Chunking Using Transformation-based Learning -- Prepositional Phrase Attachment through a Backed-off Model -- On the Unsupervised Induction of Phrase-Structure Grammars -- Robust Bilingual Word Alignment for Machine Aided Translation -- Iterative Alignment of Syntactic Structures for a Bilingual Corpus -- Trainable Coarse Bilingual Grammars for Parallel Text Bracketing -- Comparative Discourse Analysis of Parallel Texts -- Comparing the Retrieval Performance of English and Japanese Text Databases -- Inverse Document Frequency (IDF): A Measure of Deviations from Poisson -- List of Authors.
Özet, vb.
ABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.
Konu
Computational linguistics.
Artificial intelligence.
Electrical engineering.
Computational Linguistics.
Artificial Intelligence.
Electrical and Electronic Engineering.
Artificial intelligence.
Electrical engineering.
Computational Linguistics.
Artificial Intelligence.
Electrical and Electronic Engineering.
Diğer Yazarlar
Kurum Adı
Eseri Alıntıla
Referansları kullanmadan önce gözden geçirmeniz ve varsa gerekli düzeltmeleri yapmanız önerilir.
Dijital Kaynak
MARC Görünümü
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490 1 |aText, Speech and Language Technology,|x2542-9388 ;|v11
505 0 |aImplementation and Evaluation of a German HMM for POS Disambiguation -- Improvements in Part-of-Speech Tagging with an Application To German -- Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging -- Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning -- Example-Based Sense Tagging of Running Chinese Text -- Disambiguating Noun Groupings with Respect to WordNet Senses -- A Comparison of Corpus-based Techniques for Restoring Accents in Spanish and French Text -- Beyond Word N-Grams -- Statistical Augmentation of a Chinese Machine-Readable Dictionary -- Text Chunking Using Transformation-based Learning -- Prepositional Phrase Attachment through a Backed-off Model -- On the Unsupervised Induction of Phrase-Structure Grammars -- Robust Bilingual Word Alignment for Machine Aided Translation -- Iterative Alignment of Syntactic Structures for a Bilingual Corpus -- Trainable Coarse Bilingual Grammars for Parallel Text Bracketing -- Comparative Discourse Analysis of Parallel Texts -- Comparing the Retrieval Performance of English and Japanese Text Databases -- Inverse Document Frequency (IDF): A Measure of Deviations from Poisson -- List of Authors.
520 |aABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.
532 8 |aAccessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format.
532 8 |aInaccessible, or known limited accessibility
532 8 |aNo reading system accessibility options actively disabled
532 8 |aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0|aComputational linguistics.
650 0|aArtificial intelligence.
650 0|aElectrical engineering.
650 14|aComputational Linguistics.
650 24|aArtificial Intelligence.
650 24|aElectrical and Electronic Engineering.
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700 1 |aManzi, Sandra.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aTzoukermann, Evelyne.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aYarowsky, David.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
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776 08|iPrinted edition:|z9789401723916
830 0|aText, Speech and Language Technology,|x2542-9388 ;|v11
856 40|uhttps://doi.org/10.1007/978-94-017-2390-9
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001 807027
003 TR_AnAIT
005 20260127003306
007 cr nn 008mamaa
008 130321s1999 ne | s |||| 0|eng d
020 |a9789401723909|9978-94-017-2390-9
024 7 |a10.1007/978-94-017-2390-9|2doi
041 |aeng
049 |aTürk Tarih Kurumu Kütüphanesi
050 4|aP98-98.5
072 7|aCFX|2bicssc
072 7|aCOM073000|2bisacsh
072 7|aCFX|2thema
082 04|a410.285|223
090 |aDK/8320
245 10|aNatural Language Processing Using Very Large Corpora|h[electronic resource] /|cedited by S. Armstrong, Kenneth W. Church, Pierre Isabelle, Sandra Manzi, Evelyne Tzoukermann, David Yarowsky.
250 |a1st ed. 1999.
264 1|aDordrecht :|bSpringer Netherlands :|bImprint: Springer,|c1999.
300 |aXV, 305 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aText, Speech and Language Technology,|x2542-9388 ;|v11
505 0 |aImplementation and Evaluation of a German HMM for POS Disambiguation -- Improvements in Part-of-Speech Tagging with an Application To German -- Unsupervised Learning of Disambiguation Rules for Part-of-Speech Tagging -- Tagging French without Lexical Probabilities — Combining Linguistic Knowledge and Statistical Learning -- Example-Based Sense Tagging of Running Chinese Text -- Disambiguating Noun Groupings with Respect to WordNet Senses -- A Comparison of Corpus-based Techniques for Restoring Accents in Spanish and French Text -- Beyond Word N-Grams -- Statistical Augmentation of a Chinese Machine-Readable Dictionary -- Text Chunking Using Transformation-based Learning -- Prepositional Phrase Attachment through a Backed-off Model -- On the Unsupervised Induction of Phrase-Structure Grammars -- Robust Bilingual Word Alignment for Machine Aided Translation -- Iterative Alignment of Syntactic Structures for a Bilingual Corpus -- Trainable Coarse Bilingual Grammars for Parallel Text Bracketing -- Comparative Discourse Analysis of Parallel Texts -- Comparing the Retrieval Performance of English and Japanese Text Databases -- Inverse Document Frequency (IDF): A Measure of Deviations from Poisson -- List of Authors.
520 |aABOUT THIS BOOK This book is intended for researchers who want to keep abreast of cur rent developments in corpus-based natural language processing. It is not meant as an introduction to this field; for readers who need one, several entry-level texts are available, including those of (Church and Mercer, 1993; Charniak, 1993; Jelinek, 1997). This book captures the essence of a series of highly successful work shops held in the last few years. The response in 1993 to the initial Workshop on Very Large Corpora (Columbus, Ohio) was so enthusias tic that we were encouraged to make it an annual event. The following year, we staged the Second Workshop on Very Large Corpora in Ky oto. As a way of managing these annual workshops, we then decided to register a special interest group called SIGDAT with the Association for Computational Linguistics. The demand for international forums on corpus-based NLP has been expanding so rapidly that in 1995 SIGDAT was led to organize not only the Third Workshop on Very Large Corpora (Cambridge, Mass. ) but also a complementary workshop entitled From Texts to Tags (Dublin). Obviously, the success of these workshops was in some measure a re flection of the growing popularity of corpus-based methods in the NLP community. But first and foremost, it was due to the fact that the work shops attracted so many high-quality papers.
532 8 |aAccessibility summary: This PDF is not accessible. It is based on scanned pages and does not support features such as screen reader compatibility or described non-text content (images, graphs etc). However, it likely supports searchable and selectable text based on OCR (Optical Character Recognition). Users with accessibility needs may not be able to use this content effectively. Please contact us at accessibilitysupport@springernature.com if you require assistance or an alternative format.
532 8 |aInaccessible, or known limited accessibility
532 8 |aNo reading system accessibility options actively disabled
532 8 |aPublisher contact for further accessibility information: accessibilitysupport@springernature.com
650 0|aComputational linguistics.
650 0|aArtificial intelligence.
650 0|aElectrical engineering.
650 14|aComputational Linguistics.
650 24|aArtificial Intelligence.
650 24|aElectrical and Electronic Engineering.
700 1 |aArmstrong, S.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aChurch, Kenneth W.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aIsabelle, Pierre.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aManzi, Sandra.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aTzoukermann, Evelyne.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
700 1 |aYarowsky, David.|eeditor.|4edt|4http://id.loc.gov/vocabulary/relators/edt
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9780792360551
776 08|iPrinted edition:|z9789048153497
776 08|iPrinted edition:|z9789401723916
830 0|aText, Speech and Language Technology,|x2542-9388 ;|v11
856 40|uhttps://doi.org/10.1007/978-94-017-2390-9
912 |aZDB-2-SHU
912 |aZDB-2-SXS
912 |aZDB-2-BAE
950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aSocial Sciences (R0) (SpringerNature-43726)
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