TY  - BOOK
AU  - Ramisch,Carlos
ED  - SpringerLink (Online service)
TI  - Multiword Expressions Acquisition: A Generic and Open Framework 
T2  - Theory and Applications of Natural Language Processing,
SN  - 9783319092072
AV  - QA76.9.T48 
U1  - 005.72 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer Science
KW  - Artificial intelligence
KW  - Text processing (Computer science)
KW  - Computational linguistics
KW  - Document Preparation and Text Processing
KW  - Computational Linguistics
KW  - Language Translation and Linguistics
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-09207-2
ER  -