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Linguistic Data Consortium (UBC)
BOLT Egyptian Arabic-English Word Alignment -- Conversational Telephone Speech Training
Version 1.0
Li, Xuansong; Grimes, Stephen; Strassel, Stephanie, 2020, "BOLT Egyptian Arabic-English Word Alignment -- Conversational Telephone Speech Training", https://hdl.handle.net/11272.1/AB2/ZZOGLK, Abacus Data Network, V1
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Description
Abstract

Introduction

BOLT Egyptian Arabic-English Word Alignment -- Conversational Telephone Speech Training was developed by the Linguistic Data Consortium (LDC) and consists of 153,171 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

The source data in this release consists of transcripts of Egyptian Arabic conversational telephone speech (CTS) from LDC's CALLHOME and CALLFRIEND collections (LDC97S45, LDC97T19, LDC2002S37, LDC2002T38, LDC96S49) that were translated into English by professional translation agencies and annotated for the word alignment task.

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:

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.

(2020-03-13)
Subject Other
Keyword Linguistics
Notes DCMI Type(s): Text
Application(s): Automatic content extraction, machine translation
Language(s): Egyptian Arabic, English
Language ID(s): arz, eng
Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2020T05 [09 Jun 2021]
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  1. incorporate portions of the LDC (Linguistic Data Consortium) data into its own work products for internal, non-commercial use and not for redistribution,
  2. incorporate small excerpts of text or audio data from the LDC data for display or publication in a scientific or technical context, but only for the purpose of descriving the research and related issues, and
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D. Copyright

The LDC data is protected by copyright as a collective work or compilation under the laws of the United States and other countries. All content, material, and other elements comprising LDC data are also copyrighted works. Users must abide by all additional copyright notices or restrictions contained in the LDC data license agreement supplements.

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