Name
Abstract | ||
|---|---|---|
A boundary-annotated and part-of-speech tagged corpus is a prerequisite for developing phrase break classifiers. Boundary annotations in English speech corpora are descriptive, delimiting intonation units perceived by the listener. We take a novel approach to phrase break prediction for Arabic, deriving our prosodic annotation scheme from Tajwid (recitation) mark-up in the Qur'an which we then interpret as additional text-based data for computational analysis. This mark-up is prescriptive, and signifies a widely-used recitation style, and one of seven original styles of transmission. Here we report on version 1.0 of our Boundary-Annotated Qur'an dataset of 77430 words and 8230 sentences, where each word is tagged with prosodic and syntactic information at two coarse-grained levels. In (Sawalha et al., 2012), we use the dataset in phrase break prediction experiments. This research is part of a larger-scale project to produce annotation schemes, language resources, algorithms, and applications for Classical and Modern Standard Arabic. |
Year | Venue | Keywords |
|---|---|---|
2012 | LREC 2012 - EIGHTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | prosodic annotation,psycholinguistic chunking,phrase break prediction |
Field | DocType | Citations |
Annotation,Arabic,Computer science,Phrase,Speech recognition,Modern Standard Arabic,Artificial intelligence,Natural language processing,Syntax,Computational analysis | Conference | 4 |
PageRank | References | Authors |
0.51 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claire Brierley | 1 | 25 | 5.66 |
| Majdi Sawalha | 2 | 38 | 4.25 |
| Eric Atwell | 3 | 98 | 18.08 |