Aravind k joshi (10 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Used-Very Good. 0th Edition. Cloth, dj. Slight shelf wear.

Hardback. Zustand: Very Good+. Zustand des Schutzumschlags: Very Good-. Please note that this is a heavy item and may require extra postage for international shipping.; Dust jacket is bright, a little marked from shelving with tears at outer edges and one or two areas of partial loss; boards are unmarked with gilt titling and bumped corners; binding is tight; pages are crisp and unannotated. Overall, this is a nice copy that shows its age only in the dust jacket's wear. ; 6.25 x 1.25 x 9.25 inches; 341 pages.…

Zustand: as new. Cambridge, MA : The MIT Press, 2010. Hardcover. Dustjacket. 512 pp.- The last decade has seen computational implementations of large hand-crafted natural language grammars in formal frameworks such as Tree-Adjoining Grammar (TAG), Combinatory Categorical Grammar (CCG), Head-driven Phrase Structure Grammar (HPSG), and Lexical Functional Grammar (LFG). Grammars in these frameworks typically associate linguistically motivated rich descriptions (Supertags) with words. With the availability of parse-annotated corpora, grammars in the TAG and CCG frameworks have also been automatically extracted while maintaining the linguistic relevance of the extracted Supertags. In these frameworks, Supertags are designed so that complex linguistic constraints are localized to operate within the domain of those descriptions. While this localization increases local ambiguity, the process of disambiguation (Supertagging) provides a unique way of combining linguistic and statistical information. This volume investigates the theme of employing statistical approaches with linguistically motivated representations and its impact on Natural Language Processing tasks. In particular, the contributors describe research in which words are associated with Supertags that are the primitives of different grammar formalisms including Lexicalized Tree-Adjoining Grammar (LTAG). ContributorsJens Bäcker, Srinivas Bangalore, Akshar Bharati, Pierre Boullier, Tomas By, John Chen, Stephen Clark, Berthold Crysmann, James R. Curran, Kilian Foth, Robert Frank, Karin Harbusch, Sa?a Hasan, Aravind Joshi,Vincenzo Lombardo, Takuya Matsuzaki, Alessandro Mazzei, Wolfgang Menzel, Yusuke Miyao, Richard Moot, Alexis Nasr, Günter Neumann, Martha Palmer, Owen Rambow, Rajeev Sangal, Anoop Sarkar, Giorgio Satta, Libin Shen, Patrick Sturt, Jun'ichi Tsujii, K. Vijay-Shanker, Wen Wang, Fei XiaEnglish text. Condition : a Condition : as new copy. ISBN 9780262013871. Keywords : .…

Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9780262013871.…

Cloth. Zustand: Gut. 341 Seiten Guter Zustand/ Good In englischer Sprache/ English. Ex-Library. ha1017394 Sprache: Englisch Gewicht in Gramm: 700.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 2012 edition. 132 pages. 9.25x6.50x0.25 inches. In Stock.

Zustand: New. A collection of previously unpublished papers focusing on Centering Theory, which has been developed in the context of computational linguistics and cognitive science. The authors' focus on naturally occuring data is part of a general trend towards empiricism in research on computational models of discourse. Editor(s): Walker, Marilyn; Joshi, Aravind K.; Prince, Ellen F. Num Pages: 464 pages, line figures, tables. BIC Classification: CFD; CFG; JMR. Category: (P) Professional & Vocational. Dimension: 242 x 166 x 31. Weight in Grams: 824. . 1997. Hardback. . . . . Books ship from the US and Ireland.…