Paper Info
Title
Expanding Arabic Treebank to Speech: Results from Broadcast News.
Abstract
Treebanking a large corpus of relatively structured speech transcribed from various Arabic Broadcast News (BN) sources has allowed us to begin to address the many challenges of annotating and parsing a speech corpus in Arabic. The now completed Arabic Treebank BN corpus consists of 432,976 source tokens (517,080 tree tokens) in 120 files of manually transcribed news broadcasts. Because news broadcasts are predominantly scripted, most of the transcribed speech is in Modern Standard Arabic (MSA). As such, the lexical and syntactic structures are very similar to the MSA in written newswire data. However, because this is spoken news, cross-linguistic speech effects such as restarts, fillers, hesitations, and repetitions are common. There is also a certain amount of dialect data present in the BN corpus, from on-the-street interviews and similar informal contexts. In this paper, we describe the finished corpus and focus on some of the necessary additions to our annotation guidelines, along with some of the technical challenges of a treebanked speech corpus and an initial parsing evaluation for this data. This corpus will be available to the community in 2012 as an LDC publication.
Year
Venue
Keywords
2012
LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Arabic Treebank,Broadcast News,treebank construction
Field
DocType
Citations 
Speech corpus,Computer science,Artificial intelligence,Corpus linguistics,Natural language processing,Syntax,Broadcasting,Annotation,Speech recognition,Modern Standard Arabic,Treebank,Parsing,Linguistics
Conference
1
PageRank 
References 
Authors
0.35
2
3
Name
Order
Citations
PageRank
Mohamed Maamouri111213.34
Ann Bies213620.02
Seth Kulick322129.66