Designing a model combination of Arabic, for use in Computer Assisted Teaching

Bacha, Khaireddine; Mohamed, Mohamed Achraf Ben; Zrigui, Mounir

doi:10.1109/wccais.2014.6916639

Cited by 8 publications

(2 citation statements)

References 3 publications

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“…This modeling is actually an order Markov model n where only the last n observations are used to predict the next word. And a bi-gram is an order Markov model 2 [29].…”

Section: Global Architecturementioning

confidence: 99%

Contribution to the Achievement of a Spellchecker for Arabic

Bacha¹,

Zriguiv²

2016

RCS

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The objective of this work is to perform a spell check tool that analyzes the text entered in search for possible misspellings. This tool will suggest possible corrections for each misspelled word in the text. This work will require the presence of a reference dictionary of words in the arabic language. These objective Were Accomplished with resources, effective methods, and approaches. First experimental results on real data are encouraging and provide evidence of the validity of the design choices. They also help to highlight the difficulty of the task, and suggest possible developments.

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“…This modeling is actually an order Markov model n where only the last n observations are used to predict the next word. And a bi-gram is an order Markov model 2 [29].…”

Section: Global Architecturementioning

confidence: 99%

Contribution to the Achievement of a Spellchecker for Arabic

Bacha¹,

Zriguiv²

2016

RCS

Self Cite

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“…We present in this part, one of the key steps in achieving a learning environment of Arabic; it is initially to segment an Arabic text into paragraphs, sentences or words relying on the strategy based on finite state automata (Bacha, Acheref, & Zrigui, 2014), and then the labeling phase, is performed using a linguistic development environment that allows linguists to formalize various levels of linguistic phenomena and able to provide different interpretations of each analyzed form. Then, the design and organization of basic linguistic resources that focus on the representation of lexical data in the form of a semantic analyzer multifunction, which are linguistic tools, "Tools feedbak" .…”

Section: Nlp Integration Level In Telamentioning

confidence: 99%

Towards a Learning System Based on Arabic NLP Tools

Bacha

Jemni

Zrigui

2016

International Journal of Information Retrieval Research

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The evolution of computer technology stimulates us to develop a learning environment that addresses many of the problems associated with the use of words in Arabic. A learning platform of Arab foreign language used automatic language processing tools (NLP) based on multi-agent approach. Initially, this environment gives teachers the ability to automatically design other variants of educational activities, which notably includes automatic evaluations. Then it enables the learner to build his or her language skills and to learn concepts of the Arabic language.

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Contribution to a New Approach to Analyzing Arabic Words

Bacha

2019

Computational Collective Intelligence

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Designing a model combination of Arabic, for use in Computer Assisted Teaching

Cited by 8 publications

References 3 publications

Contribution to the Achievement of a Spellchecker for Arabic

Contribution to the Achievement of a Spellchecker for Arabic

Towards a Learning System Based on Arabic NLP Tools

Contribution to a New Approach to Analyzing Arabic Words

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