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NIST 2012 open machine translation (OpenMT) progress test five language source.
(/)

Title	NIST 2012 open machine translation (OpenMT) progress test five language source.
Title Original	/
Publication Date:	2014
Publication Place	- [Philadelphia, PA] : Linguistic Data Consortium, ©2014.
Subject	Machine translating. Arabic language -- Translating into English -- Databases. Chinese language -- Translating into English -- Databases. Dari language -- Translating into English -- Databases. Korean language -- Translating into English -- Databases. Persian language -- Translating into English -- Databases. Arabic language -- Translating into English. Chinese language -- Translating into English. Korean language -- Translating into English. Machine translating. Databases.
Type	Other
Language	ara,eng,fas,kor,zho
Digital	Yes
Manuscript	No
Physical Dimensions	\|
Library:	University of Chicago
Record ID	9982466
Date	2014
Notes	Title from disc label.Author: NIST Multimodal Information Group.Data type: Text.Data sources: Web collection, newswire.Application: Machine translation.Dari, Korean, Persian, English, Mandarin Chinese, Arabic, Iranian Persian, Chinese.. 1 CD-ROM ; 4 3/4 in.. "NIST 2012 Open Machine Translation (OpenMT) Progress Test Five Language Source was developed by NIST Multimodal Information Group. This release contains the evaluation sets (source data and human reference translations), DTD, scoring software, and evaluation plan for the OpenMT 2012 test for Arabic, Chinese, Dari, Farsi, and Korean to English on a parallel data set. The objective of the OpenMT evaluation series is to support research in, and help advance the state of the art of, machine translation (MT) technologies -- technologies that translate text between human languages. Input may include all forms of text. The goal is for the output to be an adequate and fluent translation of the original. The 2012 task included the evaluation of five language pairs: Arabic-to-English, Chinese-to-English, Dari-to-English, Farsi-to-English and Korean-to-English in two source data styles." -- LDC online catalogue.
Diğer yazarlar / katkıda bulunanlar	NIST Multimodal Information Group. National Institute of Standards and Technology (U.S.) Linguistic Data Consortium.
ISBN	15856366819781585636686

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NIST 2012 open machine translation (OpenMT) progress test five language source.

(/)

Publication Date 2014

Subject Machine translating. Arabic language -- Translating into English -- Databases. Chinese language -- Translating into English -- Databases. Dari language -- Translating into English -- Databases. Korean language -- Translating into English -- Databases. Persian language -- Translating into English -- Databases. Arabic language -- Translating into English. Chinese language -- Translating into English. Korean language -- Translating into English. Machine translating. Databases.

Type Other

Language ara,eng,fas,kor,zho

Digital Yes

Manuscript No

Physical Dimensions |

Library University of Chicago

Record ID 9982466

Date 2014

Notes Title from disc label.Author: NIST Multimodal Information Group.Data type: Text.Data sources: Web collection, newswire.Application: Machine translation.Dari, Korean, Persian, English, Mandarin Chinese, Arabic, Iranian Persian, Chinese.. 1 CD-ROM ; 4 3/4 in.. "NIST 2012 Open Machine Translation (OpenMT) Progress Test Five Language Source was developed by NIST Multimodal Information Group. This release contains the evaluation sets (source data and human reference translations), DTD, scoring software, and evaluation plan for the OpenMT 2012 test for Arabic, Chinese, Dari, Farsi, and Korean to English on a parallel data set. The objective of the OpenMT evaluation series is to support research in, and help advance the state of the art of, machine translation (MT) technologies -- technologies that translate text between human languages. Input may include all forms of text. The goal is for the output to be an adequate and fluent translation of the original. The 2012 task included the evaluation of five language pairs: Arabic-to-English, Chinese-to-English, Dari-to-English, Farsi-to-English and Korean-to-English in two source data styles." -- LDC online catalogue.

Diğer yazarlar / katkıda bulunanlar NIST Multimodal Information Group. National Institute of Standards and Technology (U.S.) Linguistic Data Consortium.

ISBN 15856366819781585636686