research-article

The Development of a Standard Morpho-Syntactic Lexicon for Arabic NLP

Authors:

Abdelhamid El Jihad,

Driss Namly,

fettah Hamdani,

Karim BouzoubaaAuthors Info & Claims

LOPAL '18: Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications

Article No.: 34, Pages 1 - 5

https://doi.org/10.1145/3230905.3230927

Published: 02 May 2018 Publication History

Get Access

Abstract

In this paper, we present a linguistic resource developed at our institute which will soon be available in open source. ALIF (Arabic Lexicon Inflected Forms) is a morpho-syntactic lexicon of the inflected forms of the Arabic language in which each inflected form is associated with morpho-syntactic information (lemma, root, POS, type, prefix, and suffix). This lexicon is designated for use in computer applications of Arabic natural language processing and in particular: analyzers, spell-checkers, and POS tagger.

References

[1]

M. Hassoun, 1987. Desin a dictionary for automatic Arabic processing in different application contexts. thesis Claude Bernard University-- Lyon I.

Google Scholar

[2]

A. Alexis, 2013. A fully inflected Arabic verb resource constructed from a lexicon of lemmas by using finite-state transducers. Revue RIST, vol. 20, n° 2, p. 7--19

Google Scholar

[3]

A. Khemakhem, 2006. Arabic LDB: A standardized lexical basis for the Arabic language.

Google Scholar

[4]

J. Leclerc, 2000. Language planning in the world, http://www.tlfq.ulaval.ca/axl/monde/famarabe.htm.

Google Scholar

[5]

M. Alghalayni, 2000. Arabic Lessons Collector, modern library.

Google Scholar

[6]

J. Dichy, 1990. Writing in the representation of the language: the letter and the word in Arabic Thesis lumière university LYON 2.

Google Scholar

[7]

D. Kouloughli, 1994. Grammaire de l'arabe d'aujourd'hui Pocket - Languages for all.

Google Scholar

[8]

A. Alkalak, et al, 2007. Flexion and conjugation system - rules of grammar and morphology. Technical report, UNESCO, 7, place de Fontenoy 75352 Paris 07 SP France.

Google Scholar

[9]

S. Ammar, J. Dichy, The Arabic verbs Hatier-Edition - Paris

Google Scholar

[10]

M. Bassil, 2000. Detailed in Arabic verbs conjugation lexicon scientific books, Beirut.

Google Scholar

[11]

A. EL Jihad, 2013. Arabic Verbs Conjugation System, Revue d'Information Scientifique & Technique (RIST) vol 20 N°2 PP. 27--48.

Google Scholar

[12]

A. EL Jihad, S.Hassani, S.Rami, 2013. Construction and exploitation of a morpho-syntactic lexicon of Arabic verbs 4ème Atelier International sur l'Amazighe et les nouvelles technologies, CEISIC-IRCAM, Rabat, Maroc.

Google Scholar

[13]

N. Calzolari, A. Zampolli, A. Lenci. 2002. Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg, 2002

Digital Library

Google Scholar

[14]

ISO 24613:2008. 2008. Language resource management - Lexical markup framework (LMF). ISO/FDIS.

Google Scholar

Cited By

View all

Namly DBouzoubaa KEl Jihad AAouragh S(2019)Improving Arabic Lemmatization Through a Lemmas Database and a Machine-Learning TechniqueRecent Advances in NLP: The Case of Arabic Language10.1007/978-3-030-34614-0_5(81-100)Online publication date: 30-Nov-2019
https://doi.org/10.1007/978-3-030-34614-0_5
Tachicart RBouzoubaa K(2019)Towards Automatic Normalization of the Moroccan Dialectal Arabic User Generated TextArabic Language Processing: From Theory to Practice10.1007/978-3-030-32959-4_19(264-275)Online publication date: 2-Oct-2019
https://doi.org/10.1007/978-3-030-32959-4_19

Recommendations

A novel Arabic lemmatization algorithm
AND '08: Proceedings of the second workshop on Analytics for noisy unstructured text data

Tokenization is a fundamental step in processing textual data preceding the tasks of information retrieval, text mining, and natural language processing. Tokenization is a language-dependent approach, including normalization, stop words removal, ...
Constructing lexicon with morpho-syntactic features from untagged corpora
ECC'09: Proceedings of the 3rd international conference on European computing conference

This article presents a computational method of morpho-syntactic rules which automatically creates a lexicon with morphological features after disambiguation and PoS tagging in large non annotated corpora. The method is tested and implemented in two ...
A lexicon of multiword expressions for linguistically precise, wide-coverage natural language processing

Since Sag et al. (2002) highlighted a key problem that had been underappreciated in the past in natural language processing (NLP), namely idiosyncratic multiword expressions (MWEs) such as idioms, quasi-idioms, cliches, quasi-cliches, institutionalized ...

Comments

Information & Contributors

Information

Published In

LOPAL '18: Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications

May 2018

357 pages

ISBN:9781450353045

DOI:10.1145/3230905

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

LOPAL '18

LOPAL '18: Theory and Applications

May 2 - 5, 2018

Rabat, Morocco

Acceptance Rates

LOPAL '18 Paper Acceptance Rate 61 of 141 submissions, 43%;

Overall Acceptance Rate 61 of 141 submissions, 43%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
44
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 09 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Namly DBouzoubaa KEl Jihad AAouragh S(2019)Improving Arabic Lemmatization Through a Lemmas Database and a Machine-Learning TechniqueRecent Advances in NLP: The Case of Arabic Language10.1007/978-3-030-34614-0_5(81-100)Online publication date: 30-Nov-2019
https://doi.org/10.1007/978-3-030-34614-0_5
Tachicart RBouzoubaa K(2019)Towards Automatic Normalization of the Moroccan Dialectal Arabic User Generated TextArabic Language Processing: From Theory to Practice10.1007/978-3-030-32959-4_19(264-275)Online publication date: 2-Oct-2019
https://doi.org/10.1007/978-3-030-32959-4_19

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

A novel Arabic lemmatization algorithm

Constructing lexicon with morpho-syntactic features from untagged corpora

A lexicon of multiword expressions for linguistically precise, wide-coverage natural language processing

Comments

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Recommendations

A novel Arabic lemmatization algorithm

Constructing lexicon with morpho-syntactic features from untagged corpora

A lexicon of multiword expressions for linguistically precise, wide-coverage natural language processing

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations