LDC standard Arabic morphological analyzer (SAMA), version 3.1.
(/)

Title LDC standard Arabic morphological analyzer (SAMA), version 3.1.
Title Original /
Publication Place - [Philadelphia, PA] : Linguistic Data Consortium, c2010.
Subject Machine translating. Arabic language -- Data processing. Linguistics -- Research Arabic language -- Data processing. Machine translating.
Type Other
Language Arabic
Digital Yes
Manuscript No
Physical Dimensions |
Library: University of Chicago
Record ID 8119158
Notes Title from disc label."LDC2010L01"."Authors: Mohamed Maamouri, Dave Graff, Basma Bouziri, Sondos Krouna, Ann Bies, Seth Kulick" -- LDC online catalogue.Data type: Lexicon.Applications: Information retrieval, machine translation, natural language processing.Also available on the Internet.. 1 CD-ROM ; 4 3/4 in.. "The LDC standard Arabic morphological analyzer (SAMA) version 3.1 was developed by researchers at LDC. SAMA 3.1 is based on, and updates, Buckwalter Arabic morphological analyzer (BAMA) 2.0 (LDC2004L02), which was developed by Tim Buckwalter. Since this is the first public release of SAMA, it has been numbered continuously to reflect the continuity between this release and previous BAMA releases. SAMA 3.1 is a software tool for the morphological analysis of standard Arabic. SAMA 3.1 considers each Arabic word token in all possible 'prefix-stem-suffix' segmentations, and lists all known/possible annotation solutions, with assignment of all diacritic marks, morpheme boundaries (separating clitics and inflectional morphemes from stems), and all part-of-speech (POS) labels and glosses for each morpheme segment. The generated output may then be reviewed by users, and the most appropriate annotation selected from among several choices." -- LDC online catalogue.
Diğer tekdüze başlıklar Buckwalter Arabic morphological analyzer.
Diğer yazarlar / katkıda bulunanlar Maamouri, Mohamed. Linguistic Data Consortium.
ISBN 15856355539781585635559
View in source University of Chicago University of Chicago - Ottoman library catalog search
University of Chicago - Ottoman library catalog search University of Chicago

LDC standard Arabic morphological analyzer (SAMA), version 3.1.

(/)
Publication Place - [Philadelphia, PA] : Linguistic Data Consortium, c2010.
Subject Machine translating. Arabic language -- Data processing. Linguistics -- Research Arabic language -- Data processing. Machine translating.
Type Other
Language Arabic
Digital Yes
Manuscript No
Physical Dimensions |
Library University of Chicago
Record ID 8119158
Notes Title from disc label."LDC2010L01"."Authors: Mohamed Maamouri, Dave Graff, Basma Bouziri, Sondos Krouna, Ann Bies, Seth Kulick" -- LDC online catalogue.Data type: Lexicon.Applications: Information retrieval, machine translation, natural language processing.Also available on the Internet.. 1 CD-ROM ; 4 3/4 in.. "The LDC standard Arabic morphological analyzer (SAMA) version 3.1 was developed by researchers at LDC. SAMA 3.1 is based on, and updates, Buckwalter Arabic morphological analyzer (BAMA) 2.0 (LDC2004L02), which was developed by Tim Buckwalter. Since this is the first public release of SAMA, it has been numbered continuously to reflect the continuity between this release and previous BAMA releases. SAMA 3.1 is a software tool for the morphological analysis of standard Arabic. SAMA 3.1 considers each Arabic word token in all possible 'prefix-stem-suffix' segmentations, and lists all known/possible annotation solutions, with assignment of all diacritic marks, morpheme boundaries (separating clitics and inflectional morphemes from stems), and all part-of-speech (POS) labels and glosses for each morpheme segment. The generated output may then be reviewed by users, and the most appropriate annotation selected from among several choices." -- LDC online catalogue.
Diğer tekdüze başlıklar Buckwalter Arabic morphological analyzer.
Diğer yazarlar / katkıda bulunanlar Maamouri, Mohamed. Linguistic Data Consortium.
ISBN 15856355539781585635559
University of Chicago - Ottoman library catalog search
University of Chicago You are being redirected...

Please wait