| Item Name: | Multiple-Translation Arabic (MTA) Part 2 |
| Authors: | Xiaoyi Ma |
| LDC Catalog No.: | LDC2005T05 |
| ISBN: | 1-58563-328-3 |
| Release Date: | Feb 15, 2005 |
| Data Type: | text |
| Data Source(s): | newswire |
| Project(s): | GALE, TIDES |
| Application(s): | cross-lingual information retrieval, language teaching, machine translation |
| Language(s): | English, Modern Standard Arabic |
| Language ID(s): | arb, eng |
| Distribution: | Web Download |
| Member fee: | $0 for 2005 members |
| Non-member Fee: | US$1000.00 |
| Reduced-License Fee: | US$500.00 |
| Extra-Copy Fee: | N/A |
| Non-member License: | yes |
| Online documentation: | yes |
| Licensing Instructions: | Subscription Members, Standard Members, Non-Members |
| Citation: | Xiaoyi Ma 2005 Multiple-Translation Arabic (MTA) Part 2 Linguistic Data Consortium, Philadelphia |
IntroductionMultiple-Translation Arabic (MTA) Part 2 was produced by Linguistic Data Consortium (LDC) catalog number LDC2005T05 and ISBN 1-58563-328-3. To support the development of automatic means for evaluating translation quality, the LDC was sponsored to solicit four sets of human translations for a single set of Arabic source materials. The LDC was also asked to produce translations from various commercial-off-the-shelf-systems (COTS, including commercial Machine Translation (MT) systems as well as MT systems available on the Internet). There are a total of two sets of COTS outputs, and one output set from a TIDES 2003 MT Evaluation participant, which is representative for the state-of-the-art research systems. To see if automatic evaluation systems such as BLEU track human assessment, the LDC has also performed human assessment on the two COTS outputs and the TIDES research system. The corpus includes the assessment results for one of the two COTS systems, the assessment result for the TIDES research system, and the specifications used for conducting the assessments. Source Data Selection:
(total: 100 stories) There are 100 source files, and 700 translation files. All source data were drawn from January and February 2003 collection of Xinhua news Arabic data and AFP Arabic data. The story selection from the two newswire collections was controlled by story length: all selected stories contain between 700 and 1,500 Arabic characters. The overall count of Arabic words (excluding markup), by source, is shown in the following table:
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