TRAD Arabic-French Parallel Text -- Newsgroup
|Item Name:||TRAD Arabic-French Parallel Text -- Newsgroup|
|Author(s):||Linguistic Data Consortium, ELDA|
|LDC Catalog No.:||LDC2018T13|
|Release Date:||April 16, 2018|
|Project(s):||GALE, TRAD, PEA-TRAD|
|Application(s):||language modeling, machine translation|
|Language(s):||Arabic, Standard Arabic, French|
|Language ID(s):||ara, arb, fra|
TRAD Arabic-French Parallel Text – Newsgroup Agreement (For-Profit)
TRAD Arabic-French Parallel Text – Newsgroup Agreement (Not-For-Profit)
TRAD Arabic-French Parallel Text – Newsgroup Agreement (Non-Member)
|Online Documentation:||LDC2018T13 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Linguistic Data Consortium, and ELDA. TRAD Arabic-French Parallel Text -- Newsgroup LDC2018T13. Web Download. Philadelphia: Linguistic Data Consortium, 2018.|
TRAD Arabic-French Parallel Text -- Newsgroup was developed by ELDA as part of the PEA-TRAD project. It contains French translations of a subset of approximately 10,000 Arabic words from GALE Phase 1 Arabic Newsgroup Parallel Text - Part 1 (LDC2009T03).
The PEA-TRAD project (Translation as a Support for Document Analysis) was supported by the French Ministry of Defense (DGA). Its purpose was to develop speech-to-speech translation technology for multiple languages (e.g., Arabic, Chinese, Pashto) from a variety of domains. ELDA developed several corpora for this effort.
LDC has also released TRAD Chinese-French Parallel Text -- Blog (LDC2018T02).
This release consists of 398 segments (translation units) from 17 documents. The source data is Arabic newsgroup text collected and translated into English by the Linguistic Data Consortium for the DARPA GALE (Global Autonomous Language Exploitation) program. Information about the ELDA translation team, translation guidelines and validation results is contained in the documentation accompanying this release.
The Arabic source file contains 10,706 words and the French reference translation contains 15,843 words. The data is presented in two unicode-encoded XML files along with an associated DTD.
None at this time.