Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging

Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging

<p dir="ltr">Word segmentation plays a pivotal role in improving any Arabic NLP application. Therefore, a lot of research has been spent in improving its accuracy. Off-the-shelf tools, however, are: i) complicated to use and ii) domain/dialect dependent. We explore three language-ind...

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Bibliographic Details
Main Author: Hassan Sajjad (5297441) (author)
Other Authors: Fahim Dalvi (18427905) (author), Nadir Durrani (5297438) (author), Ahmed Abdelali (19691659) (author), Yonatan Belinkov (18973897) (author), Stephan Vogel (19691698) (author)
Published: 2017
Subjects:
Information and computing sciences
Artificial intelligence
Language, communication and culture
Linguistics
Word Segmentation
Arabic NLP
Morphological Segmentation
Accuracy Improvement
Off-the-Shelf Tools
Domain Dependency
Dialect Dependency
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