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Multiword expressions acquisitiona g...

Ramisch, Carlos.

Multiword expressions acquisitiona generic and open framework /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiword expressions acquisitionby Carlos Ramisch.
其他題名:	a generic and open framework /
作者:	Ramisch, Carlos.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xiv, 230 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Natural language processing (Computer science)
電子資源:	http://dx.doi.org/10.1007/978-3-319-09207-2
ISBN:	9783319092072 (electronic bk.)

Multiword expressions acquisitiona generic and open framework /
Ramisch, Carlos.

Multiword expressions acquisitiona generic and open framework /[electronic resource] :by Carlos Ramisch. - Cham :Springer International Publishing :2015. - xiv, 230 p. :ill., digital ;24 cm. - Theory and applications of natural language processing,2192-032X. - Theory and applications of natural language processing..

1.Introduction -- Part I.Multiword Expressions: a Though Nut to Crack -- 2.Definitions and Characteristics -- 3 State of the Art in MWE Processing -- Part II.MWE Acquisition -- 4.Evaluation of MWE Acquisition -- 5.A New Framework for MWE Acquisition -- Part III Applications -- 6.Application 1: Lexicography -- 7.Application 2: Machine Translation -- 8.Conclusions -- Appendixes -- A.Extended List of Translation Examples -- B.Resources Used in the Experiments -- C.The mwetoolkit: Documentation -- D.Tagsets for POS and syntax -- E.Detailed Lexicon Descriptions.

This book is an excellent introduction to multiword expressions. It provides a unique, comprehensive and up-to-date overview of this exciting topic in computational linguistics. The first part describes the diversity and richness of multiword expressions, including many examples in several languages. These constructions are not only complex and arbitrary, but also much more frequent than one would guess, making them a real nightmare for natural language processing applications. The second part introduces a new generic framework for automatic acquisition of multiword expressions from texts. Furthermore, it describes the accompanying free software tool, the mwetoolkit, which comes in handy when looking for expressions in texts (regardless of the language). Evaluation is greatly emphasized, underlining the fact that results depend on parameters like corpus size, language, MWE type, etc. The last part contains solid experimental results and evaluates the mwetoolkit, demonstrating its usefulness for computer-assisted lexicography and machine translation. This is the first book to cover the whole pipeline of multiword expression acquisition in a single volume. It is addresses the needs of students and researchers in computational and theoretical linguistics, cognitive sciences, artificial intelligence and computer science. Its good balance between computational and linguistic views make it the perfect starting point for anyone interested in multiword expressions, language and text processing in general.

ISBN: 9783319092072 (electronic bk.)

Standard No.: 10.1007/978-3-319-09207-2doiSubjects--Topical Terms:

200539
Natural language processing (Computer science)

LC Class. No.: QA76.9.N38

Dewey Class. No.: 006.35

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520 $a This book is an excellent introduction to multiword expressions. It provides a unique, comprehensive and up-to-date overview of this exciting topic in computational linguistics. The first part describes the diversity and richness of multiword expressions, including many examples in several languages. These constructions are not only complex and arbitrary, but also much more frequent than one would guess, making them a real nightmare for natural language processing applications. The second part introduces a new generic framework for automatic acquisition of multiword expressions from texts. Furthermore, it describes the accompanying free software tool, the mwetoolkit, which comes in handy when looking for expressions in texts (regardless of the language). Evaluation is greatly emphasized, underlining the fact that results depend on parameters like corpus size, language, MWE type, etc. The last part contains solid experimental results and evaluates the mwetoolkit, demonstrating its usefulness for computer-assisted lexicography and machine translation. This is the first book to cover the whole pipeline of multiword expression acquisition in a single volume. It is addresses the needs of students and researchers in computational and theoretical linguistics, cognitive sciences, artificial intelligence and computer science. Its good balance between computational and linguistic views make it the perfect starting point for anyone interested in multiword expressions, language and text processing in general.
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