oai:www.ldc.upenn.edu:LDC2014T03
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OLAC Record oai:www.ldc.upenn.edu:LDC2014T03 |
| Metadata | ||
| Title: | GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 | |
| Access Rights: | Licensing Instructions for Subscription & Standard Members, and Non-Members: http://www.ldc.upenn.edu/language-resources/data/obtaining | |
| Bibliographic Citation: | Li, Xuansong, et al. GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 LDC2014T03. Web Download. Philadelphia: Linguistic Data Consortium, 2014 | |
| Contributor: | Li, Xuansong | |
| Grimes, Stephen | ||
| Ismael, Safa | ||
| Strassel, Stephanie | ||
| Maamouri, Mohamed | ||
| Bies, Ann | ||
| Date (W3CDTF): | 2014 | |
| Date Issued (W3CDTF): | 2014-02-17 | |
| Description: | *Introduction* GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 2 was developed by the Linguistic Data Consortium (LDC) and contains 141,058 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. 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). LDC previously released GALE Arabic-English Parallel Aligned Treebank -- Broadcast News Part 1 (LDC2013T14). *Data* The source data consists of Arabic broadcast news programming collected by LDC in 2007 and 2008 from Al Arabiya, Abu Dhabi TV, Al Baghdadya TV, Al Fayha, Alhurra, Al Iraqiyah, Aljazeera, Al Ordiniyah, Al Sharqiya, Dubai TV, Oman TV, Radio Sawa and Saudi TV. All data is encoded as UTF-8. A count of files, words, tokens and segments is below. Language | Files Words Tokens Segments Arabic 31 110,690 141,058 7,102 Note: Word count is based on the untokenized Arabic source. Token count is based on the ATB-tokenized Arabic source. The purpose of the GALE word alignment task was to find correspondences between words, phrases or groups of words in a set of parallel texts. Arabic-English word alignment annotation consisted of the following tasks: * Identifying different types of links: translated (correct or incorrect) and not translated (correct or incorrect) * Identifying sentence segments not suitable for annotation, e.g., blank segments, incorrectly-segmented segments, segments with foreign languages * Tagging unmatched words attached to other words or phrases This release contains four types of files - raw, tokenized, treebank, and wa. The raw format contains the original Arabic and English sentences without any annotation. The tokenized format is the treebank tokenized version of the raw data which may contain Empty Category tokens (treebank leaves that have the POS label -NONE-). The treebank and wa files are treebank and word alignment annotations on the tokenized files. *Samples* Please view the following samples * English Raw * English Token * English Treebank * Arabic Raw * Arabic Token * Arabic Treebank * Word Alignment *Sponsorship* This work was supported in part by the Defense Advanced Research Projects Agency, GALE Program Grant No. HR0011-06-1-0003. The content of this publication does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred. *Updates* None at this time.|
| Extent: | Corpus size: 17662 KB | |
| Identifier: | LDC2014T03 | |
| https://catalog.ldc.upenn.edu/LDC2014T03 | ||
| ISBN: 1-58563-666-5 | ||
| ISLRN: 381-030-411-602-1 | ||
| DOI: 10.35111/p8mc-9j50 | ||
| Language: | English | |
| Standard Arabic | ||
| Arabic | ||
| Language (ISO639): | eng | |
| arb | ||
| ara | ||
| License: | LDC User Agreement for Non-Members: https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf | |
| Medium: | Distribution: Web Download | |
| Publisher: | Linguistic Data Consortium | |
| Publisher (URI): | https://www.ldc.upenn.edu | |
| Relation (URI): | https://catalog.ldc.upenn.edu/docs/LDC2014T03 | |
| Rights Holder: | Portions © 2007-2008 Abu Dhabi TV, © 2007 Al Arabiya, © 2008 Al Baghdadya TV, © 2008 Al Fayha, © 2008 Al Iraqiyah, © 2007 Aljazeera, © 2007 Al Ordiniyah, © 2008 Al Sharqiya, © 2008 Dubai TV, © 2008 Oman TV, © 2008 Saudi TV, © 2007-2008, 2012, 2014 Trustees of the University of Pennsylvania | |
| Type (DCMI): | Text | |
| Type (OLAC): | primary_text | |
OLAC Info |
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| Archive: | The LDC Corpus Catalog | |
| Description: | http://www.language-archives.org/archive/www.ldc.upenn.edu | |
| GetRecord: | OAI-PMH request for OLAC format | |
| GetRecord: | Pre-generated XML file | |
OAI Info |
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| OaiIdentifier: | oai:www.ldc.upenn.edu:LDC2014T03 | |
| DateStamp: | 2020-11-30 | |
| GetRecord: | OAI-PMH request for simple DC format | |
Search Info | ||
| Citation: | Li, Xuansong; Grimes, Stephen; Ismael, Safa; Strassel, Stephanie; Maamouri, Mohamed; Bies, Ann. 2014. Linguistic Data Consortium. | |
| Terms: | area_Asia area_Europe country_GB country_SA dcmi_Text iso639_ara iso639_arb iso639_eng olac_primary_text | |