Using Ambiguity Detection to Streamline Linguistic Annotation

Wajdi Zaghouani

Using Ambiguity Detection to Streamline Linguistic Annotation

NUQ Communication Program

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)
Publisher	The COLING 2016 Organizing Committee
Pages	127–136
State	Published - 2016

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title = "Using Ambiguity Detection to Streamline Linguistic Annotation",

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.",

author = "Wajdi Zaghouani",

year = "2016",

language = "English (US)",

pages = "127–136",

booktitle = "Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)",

publisher = "The COLING 2016 Organizing Committee",

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T1 - Using Ambiguity Detection to Streamline Linguistic Annotation

AU - Zaghouani, Wajdi

PY - 2016

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N2 - 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.

AB - 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.

UR - https://aclanthology.org/W16-4115/

M3 - Conference contribution

SP - 127

EP - 136

BT - Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity (CL4LC)

PB - The COLING 2016 Organizing Committee

ER -

Using Ambiguity Detection to Streamline Linguistic Annotation

Abstract

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