Abstract
Language resources are a necessary component to language Development in NLP. They are useful for any empirical language study including linguistic analysis, language translation and language disambiguation. The linguistic development environment NooJ (http://www.nooj4nlp.net/) allow formalizing complex linguistic phenomena such as compound words generation, processing as well as analysis. NooJ offers the possibility to use the dynamic library NoojEngine.dll or the command-line program: noojapply.exe. In this study, we will take advantage of the noojapply.exe program that is freely available in the Standard edition of NooJ. Noojapply.exe allows users to apply dictionaries and grammars automatically to texts from external environments.
In this paper, we introduce a module for Arabic MWEs recognition that is based on rules grammar. MWEs module allows recognizing several types of morphosyntactic variations that can occur to a Multi Word Expression. Then, these linguistic resources are compiled to be used as parameters in the command-line noojapply.exe in order to be integrated within an Arabic language processing environment for linguistic disambiguation. Our work is divided into three sections. First, we deal with a literature review on disambiguation tasks in the Arabic language. Then, we give a detailed description of our Integrated NooJ environment for Arabic linguistic disambiguation and the associated grammars. Finally, a set of tests and experiments is carried out to measure the impact of multi- word expression recognition in Word disambiguation.
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Notes
- 1.
“El-DicAr” Electronic Dictionary for Arabic linguistic resources.
- 2.
Verbs, nouns and adjectives codes in El-DicAr are listed in the Appendix.
- 3.
Apocopate cutting off the last sound or syllable of a word.
- 4.
A form of the noun in some languages, which shows the relationship of possession or origin between one thing and another.
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Appendix
Appendix
Verb’s codes in El-DicAr | P | Transitive - Indicative |
I | Intransitive - Past | |
S | Subjunctive | |
C | Apocopate | |
F | Future | |
Y | Imperative | |
A | Active form | |
K | Passive form | |
Noun’s and adjective’s codes in El-DicAr | a | Accusative |
u | Nominative | |
i | Genitive | |
an | Tanwin, Nominative | |
un | Tanwin, Accusative | |
in | Tanwin, Genitive | |
Noun’s and adjective’s codes in El-DicAr | 1, 2, 3 | 1st, 2d, 3d person |
M, f | Male, female | |
S, d, p | Singular, dual, plural | |
S, d, p | Singular, dual, plural |
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Najar, D., Mesfar, S., Ghezela, H.B. (2022). Integrated NooJ Environment for Arabic Linguistic Disambiguation Improvement Using MWEs. In: González, M., Reyes, S.S., Rodrigo, A., Silberztein, M. (eds) Formalizing Natural Languages: Applications to Natural Language Processing and Digital Humanities. NooJ 2022. Communications in Computer and Information Science, vol 1758. Springer, Cham. https://doi.org/10.1007/978-3-031-23317-3_16
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