BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training

Item Name: BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training
Author(s): Xuansong Li, Stephen Grimes, Stephanie Strassel
LDC Catalog No.: LDC2019T18
ISBN: 1-58563-912-5
ISLRN: 254-006-253-137-3
Release Date: December 5, 2019
Member Year(s): 2019
DCMI Type(s): Text
Data Source(s): text chat conversations
Project(s): BOLT
Application(s): automatic content extraction, machine translation
Language(s): Egyptian Arabic, English
Language ID(s): arz, eng
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2019T18 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Li, Xuansong, Stephen Grimes, and Stephanie Strassel. BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training LDC2019T18. Web Download. Philadelphia: Linguistic Data Consortium, 2019.
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Introduction

BOLT Egyptian Arabic-English Word Alignment -- SMS/Chat Training was developed by the Linguistic Data Consortium (LDC) and consists of 349,414 words of Egyptian Arabic and English parallel text enhanced with linguistic tags to indicate word relations.

The DARPA 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.

Data

This release consists of Egyptian Arabic source text message and chat conversations collected using two methods: new collection via LDC's collection platform, and donation of SMS or chat archives from BOLT collection participants. The source data is released as BOLT Egyptian Arabic SMS/Chat and Transliteration (LDC2017T07).

The BOLT word alignment task was built on treebank annotation. Specifically, Egyptian Arabic source tree tokens were automatically extracted from tree files in LDC's BOLT Egyptian Arabic Treebank. Those tree files had been tagged for part-of-speech and syntactically annotated. That data was then aligned and annotated for the word alignment task.

The data profile broken down by character tokens, tree tokens and segments appears below:

Language Genre Files Words Tree/POS-tokens Segments
Egyptian Arabic SMS/Chat 1367 349,414 475,665 74,814

Acknowledgement

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.

Samples

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