Resource: BOLT Arabic Discussion Forum Parallel Training Data

Reference BOLT Arabic Discussion Forum Parallel Training Data
Date of Submission Jan. 31, 2019, 4:53 p.m.
Status accepted
ISLRN 406-719-208-907-3
Resource Type Primary Text
Media Type Text
Language Arabic, Egyptian Arabic, English
Format/MIME Type application/xml
Size 57496
Access Medium Web Download


BOLT Arabic Discussion Forum Parallel Training Data was developed by the Linguistic Data Consortium (LDC) and consists of 1,169,599 tokens of Egyptian Arabic discussion forum data collected for the DARPA BOLT program along with their corresponding English translations.

The BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, text messaging and chat -- in Chinese, Egyptian Arabic and English. The collected data was translated and annotated for various tasks including word alignment, treebanking, propbanking and co-reference.


The source data in this release consists of discussion forum threads harvested from the Internet by LDC using a combination of manual and automatic processes. The full source data collection is released as BOLT Arabic Discussion Forums (LDC2018T10).

Data was manually selected for translation according to several criteria, including linguistic features and topic features. The files were then segmented into sentence units, formatted into a human-readable translation format and assigned to translation vendors. Translators followed LDC's BOLT translation guidelines. Bilingual LDC staff performed quality control procedures on the completed translations.

All data are presented as UTF-8. The following table shows the data volume of this package:

Source Lang
Source Tokens

Discussion Forum


This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR0011-11-C-0145. The content does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.

Version 1.0
Creator Zhiyi Song , Stephanie Strassel , Jennifer Tracey , Christopher Walker
Distributor Linguistic Data Consortium
Rights Holder Portions © 2019 Trustees of the University of Pennsylvania