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GALE Arabic-English parallel aligned treebank. : broadcast news part 1.
(/)

Title	GALE Arabic-English parallel aligned treebank. : broadcast news part 1.
Title Original	/
Publication Place	- [Philadelphia, Pa.] : Linguistic Data Consortium, c2013.
Subject	Arabic language -- Data processing -- Databases. English language -- Data processing. Linguistics -- Research. Arabic language -- Data processing. English language -- Data processing. Databases.
Type	Other
Language	ara,eng
Digital	Yes
Manuscript	No
Physical Dimensions	\|
Library:	University of Chicago
Record ID	9347779
Notes	Title from disc label.Data type: Text.Data source: Broadcast news.Authors: Xuansong Li, Stephen Grimes, Safa Ismael, Stephanie Strassel, Mohamed Maamouri, Ann BiesApplications: Automatic content extraction, cross-lingual information retrieval, information detection, machine translation.Also available on the Internet.Arabic and English.. 1 CD-ROM ; 4 3/4 in.. GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 1 was developed by the Linguistic Data Consortium (LDC) and contains 115,826 tokens of word aligned Arabic and English parallel text with treebank annotations. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program.Parallel aligned treebanks are treebanks annotated with morphological and syntactic structures aligned at the sentence level and the sub-sentence level. Such data sets are useful for natural language processing and related fields, including automatic word alignment system training and evaluation, transfer-rule extraction, word sense disambiguation, translation lexicon extraction and cultural heritage and cross-linguistic studies. With respect to machine translation system development, parallel aligned treebanks may improve system performance with enhanced syntactic parsers, better rules and knowledge about language pairs and reduced word error rate.In this release, the source Arabic data was translated into English. Arabic and English treebank annotations were performed independently. The parallel texts were then word aligned. The material in this corpus corresponds to a portion of the Arabic treebanked data in Arabic Treebank - Broadcast News v1.0 (LDC2012T07).
Başlığın Farklı Biçimleri	GALE Arabic English parallel aligned treebank -- broadcast news part 1
Diğer yazarlar / katkıda bulunanlar	Li, Xuansong. Linguistic Data Consortium.
ISBN	15856364959781585636495

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University of Chicago

GALE Arabic-English parallel aligned treebank. : broadcast news part 1.

(/)

Publication Place - [Philadelphia, Pa.] : Linguistic Data Consortium, c2013.

Subject Arabic language -- Data processing -- Databases. English language -- Data processing. Linguistics -- Research. Arabic language -- Data processing. English language -- Data processing. Databases.

Type Other

Language ara,eng

Digital Yes

Manuscript No

Physical Dimensions |

Library University of Chicago

Record ID 9347779

Notes Title from disc label.Data type: Text.Data source: Broadcast news.Authors: Xuansong Li, Stephen Grimes, Safa Ismael, Stephanie Strassel, Mohamed Maamouri, Ann BiesApplications: Automatic content extraction, cross-lingual information retrieval, information detection, machine translation.Also available on the Internet.Arabic and English.. 1 CD-ROM ; 4 3/4 in.. GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 1 was developed by the Linguistic Data Consortium (LDC) and contains 115,826 tokens of word aligned Arabic and English parallel text with treebank annotations. This material was used as training data in the DARPA GALE (Global Autonomous Language Exploitation) program.Parallel aligned treebanks are treebanks annotated with morphological and syntactic structures aligned at the sentence level and the sub-sentence level. Such data sets are useful for natural language processing and related fields, including automatic word alignment system training and evaluation, transfer-rule extraction, word sense disambiguation, translation lexicon extraction and cultural heritage and cross-linguistic studies. With respect to machine translation system development, parallel aligned treebanks may improve system performance with enhanced syntactic parsers, better rules and knowledge about language pairs and reduced word error rate.In this release, the source Arabic data was translated into English. Arabic and English treebank annotations were performed independently. The parallel texts were then word aligned. The material in this corpus corresponds to a portion of the Arabic treebanked data in Arabic Treebank - Broadcast News v1.0 (LDC2012T07).

Başlığın Farklı Biçimleri GALE Arabic English parallel aligned treebank -- broadcast news part 1

Diğer yazarlar / katkıda bulunanlar Li, Xuansong. Linguistic Data Consortium.

ISBN 15856364959781585636495