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Linguistic Data Consortium (UBC)
BOLT Egyptian Arabic Treebank - Conversational Telephone Speech
Version 1.0
Maamouri, Mohamed; Bies, Ann; Kulick, Seth; Krouna, Sondos; Tabassi, Dalila; Ciul, Michael, 2021, "BOLT Egyptian Arabic Treebank - Conversational Telephone Speech", https://hdl.handle.net/11272.1/AB2/D9JRBV, Abacus Data Network, V1
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Description
Abstract

Introduction

BOLT Egyptian Arabic Treebank - Conversational Telephone Speech was developed by the Linguistic Data Consortium (LDC) and consists of Egyptian Arabic conversational telephone speech data with part-of-speech annotation, morphology, gloss and syntactic tree annotation.

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.

The annotations in this release follow Penn Arabic Treebank (PATB) annotation guidelines. The PATB project consists of two distinct phases: (a) part-of-speech tagging which divides the text into lexical tokens and gives relevant information about each token such as lexical category, inflectional features and a gloss; and (b) Arabic treebanking, which characterizes the constituent structures of word sequences, provides categories for each non-terminal node and identifies null elements, co-reference, traces and so on.

There are two types of morphological analysis synchronized in the corpus. LDC Standard Morphological Analyzer (SAMA) Version 3.1 (LDC2010L01) was used for Modern Standard Arabic tokens, and CALIMA (Columbia Arabic Language and dIalect Morphological Analyzer) was used for Egyptian-Arabic tokens.

Data

This release contains 153,171 tokens before clitics were split and 182,965 tree tokens after clitics were split for treebank annotation. The source data was selected from conversational telephone speech collected by LDC for the CALLHOME project that was transcribed and segmented into sentence units.

Data is presented in a variety of UTF-8 encoded text formats, specifically plain text, XML, tdf and Penn Treebank. See the included documentation for more information about the specific formats.

(2021-06-15)
Subject Other
Keyword Linguistics
Notes DCMI Type(s): Text
Application(s): Automatic content extraction, information detection, machine translation
Language(s): Egyptian Arabic
Language ID(s): arz
Metadata automatically created from https://catalog.ldc.upenn.edu/LDC2021T12 [25 Aug 2021]
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