@inproceedings{zaghouani-etal-2016-using,
title = "Using Ambiguity Detection to Streamline Linguistic Annotation",
author = "Zaghouani, Wajdi and
Hawwari, Abdelati and
Alqahtani, Sawsan and
Bouamor, Houda and
Ghoneim, Mahmoud and
Diab, Mona and
Oflazer, Kemal",
editor = "Brunato, Dominique and
Dell{'}Orletta, Felice and
Venturi, Giulia and
Fran{\c{c}}ois, Thomas and
Blache, Philippe",
booktitle = "Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity ({CL}4{LC})",
month = dec,
year = "2016",
address = "Osaka, Japan",
publisher = "The COLING 2016 Organizing Committee",
url = "https://aclanthology.org/W16-4115",
pages = "127--136",
abstract = "Arabic writing is typically underspecified for short vowels and other markups, referred to as diacritics. In addition to the lexical ambiguity exhibited in most languages, the lack of diacritics in written Arabic adds another layer of ambiguity which is an artifact of the orthography. In this paper, we present the details of three annotation experimental conditions designed to study the impact of automatic ambiguity detection, on annotation speed and quality in a large scale annotation project.",
}
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<abstract>Arabic writing is typically underspecified for short vowels and other markups, referred to as diacritics. In addition to the lexical ambiguity exhibited in most languages, the lack of diacritics in written Arabic adds another layer of ambiguity which is an artifact of the orthography. In this paper, we present the details of three annotation experimental conditions designed to study the impact of automatic ambiguity detection, on annotation speed and quality in a large scale annotation project.</abstract>
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%0 Conference Proceedings
%T Using Ambiguity Detection to Streamline Linguistic Annotation
%A Zaghouani, Wajdi
%A Hawwari, Abdelati
%A Alqahtani, Sawsan
%A Bouamor, Houda
%A Ghoneim, Mahmoud
%A Diab, Mona
%A Oflazer, Kemal
%Y Brunato, Dominique
%Y Dell’Orletta, Felice
%Y Venturi, Giulia
%Y François, Thomas
%Y Blache, Philippe
%S Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F zaghouani-etal-2016-using
%X Arabic writing is typically underspecified for short vowels and other markups, referred to as diacritics. In addition to the lexical ambiguity exhibited in most languages, the lack of diacritics in written Arabic adds another layer of ambiguity which is an artifact of the orthography. In this paper, we present the details of three annotation experimental conditions designed to study the impact of automatic ambiguity detection, on annotation speed and quality in a large scale annotation project.
%U https://aclanthology.org/W16-4115
%P 127-136
Markdown (Informal)
[Using Ambiguity Detection to Streamline Linguistic Annotation](https://aclanthology.org/W16-4115) (Zaghouani et al., CL4LC 2016)
ACL
- Wajdi Zaghouani, Abdelati Hawwari, Sawsan Alqahtani, Houda Bouamor, Mahmoud Ghoneim, Mona Diab, and Kemal Oflazer. 2016. Using Ambiguity Detection to Streamline Linguistic Annotation. In Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC), pages 127–136, Osaka, Japan. The COLING 2016 Organizing Committee.