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020 _a9783319092072
_z978-3-319-09207-2
024 7 _a10.1007/978-3-319-09207-2
_2doi
050 4 _aQA76.9.N38
050 4 _aQA76.9.N38
072 7 _aUYQL
_2bicssc
072 7 _aCOM073000
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_223006.35
_223
100 1 _aRamisch, Carlos.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMultiword Expressions Acquisition :
_bA Generic and Open Framework /
_cby Carlos Ramisch.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aTheory and Applications of Natural Language Processing,
_x2192-032X
505 0 _a1.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.
520 _aThis 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.
650 0 _aNatural language processing (Computer science).
650 0 _aComputational linguistics.
650 0 _aArtificial intelligence.
650 1 4 _aNatural Language Processing (NLP).
_0http://scigraph.springernature.com/things/product-market-codes/I21040
650 2 4 _aComputational Linguistics.
_0http://scigraph.springernature.com/things/product-market-codes/N22000
650 2 4 _aNatural Language Processing (NLP).
_0http://scigraph.springernature.com/things/product-market-codes/I21040
650 2 4 _aArtificial Intelligence.
_0http://scigraph.springernature.com/things/product-market-codes/I21000
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-09207-2
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200433842
_d52054
942 _2lcc
_cEBK
041 _aeng