UID:
almahu_9948233643002882
Format:
1 online resource (xiii, 413 pages) :
,
digital, PDF file(s).
ISBN:
9780511597855 (ebook)
Series Statement:
Studies in natural language processing
Content:
This is a collection of new papers by leading researchers on natural language parsing. In the past, the problem of how people parse the sentences they hear - determine the identity of the words in these sentences and group these words into larger units - has been addressed in very different ways by experimental psychologists, by theoretical linguists, and by researchers in artificial intelligence, with little apparent relationship among the solutions proposed by each group. However, because of important advances in all these disciplines, research on parsing in each of these fields now seems to have something significant to contribute to the others, as this volume demonstrates. The volume includes some papers applying the results of experimental psychological studies of parsing to linguistic theory, others which present computational models of parsing, and a mathematical linguistics paper on tree-adjoining grammars and parsing.
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
,
Introduction / Laurie Karttunen and Arnold M. Zwicky -- Measuring syntactic complexity relative to discourse context / Alice Davison and Richard Lutz -- Interpreting questions -- How can grammars help parsers? -- Syntactic complexity -- Processing of sentences with intrasentential code switching -- Tree adjoining grammars: how much context-sensitivity is required to provide reasonable structural descriptions / Aravind K. Joshi -- Parsing in functional unification grammar -- Parsing in a free word order language -- A new characterization of attachment preferences / Fernando C.N. Pereira -- On not being led up the garden path: the use of context by the pscyhological syntax processor -- Do listeners compute linguistic representations?
Additional Edition:
Print version: ISBN 9780521262033
Language:
English
URL:
https://doi.org/10.1017/CBO9780511597855
URL:
https://doi.org/10.1017/CBO9780511597855
URL:
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