DocumentCode
286259
Title
Deriving a probabilistic grammar of semantic markers from unrestricted English text
Author
Jost, Uwe ; Atwell, Eric
Author_Institution
Centre for Comput. Anal. of Language & Speech, Leeds Univ., UK
fYear
1993
fDate
22-23 Apr 1993
Abstract
The derivation is described of a probabilistic grammar for main subject field codes from the machine readable version of the Longman Dictionary of Contemporary English (LDOCE) (P. Procter, 1978). These codes are used in the dictionary to mark the subject area to which a certain sense of a word belongs. The grammar consists of the dictionary itself and a matrix that describes how closely two main subject fields are related to each other in a large training corpus of unrestricted English text
Keywords
computational linguistics; grammars; natural languages; probabilistic logic; LDOCE; large training corpus; machine readable version; main subject field codes; matrix; probabilistic grammar; semantic markers; subject area; unrestricted English text;
fLanguage
English
Publisher
iet
Conference_Titel
Grammatical Inference: Theory, Applications and Alternatives, IEE Colloquium on
Conference_Location
Colchester
Type
conf
Filename
243120
Link To Document