Results 111 to 120 of about 586 (159)
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Arabic Morphology Parsing Revisited
2008In this paper we propose a new approach to the description of Arabic morphology using 2-tape finite state transducers, based on a particular and systematic use of the operation of composition in a way that allows for incremental substitutions of concatenated lexical morpheme specifications with their surface realization for non-concatenative processes (
JABER Suhel, DELMONTE, Rodolfo
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Arabic Nonconcatenative Morphology in Construction Morphology
2018This chapter examines nonconcatenative morphology of Arabic with a particular focus on its templatic nature. While much of the past research on Arabic templatic morphology has centered on the verbal system, our discussion largely takes up the nonverbal templatic morphology of Arabic including the comparative, nouns of profession, and the diminutive. In
Stuart Davis, Natsuko Tsujimura
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Intelligent Tunisian Arabic morphological analyzer
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), 2016Nowadays, Internet users act deeply on Internet content through Web 2.0. They are increasingly directing Web 2.0 and so political, economic, financial and social environments all over the world and particularly in Tunisia that is suffering from environment unsteadiness since the political revolution in 2011.
Nadia B. M. Karmani +2 more
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The morphologization of an Arabic creole
Journal of Pidgin and Creole Languages, 2014East African Nubi has classic attributes of a creole — it was formed in a short period of time and its structure diverges dramatically from its lexical source, Egyptian and Sudanic Arabic — yet it differs from most creoles as well in that it has a fairly robust morphology (Owens 2001).
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Finite-state abstractions on Arabic morphology
Artificial Intelligence Review, 1994zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ajit Narayanan, Lama Hashem
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Morphology and Spelling in Arabic: Development and Interface
Journal of Psycholinguistic Research, 2016In the current study, two experiments were carried out: the first tested the development of derivational root and word-pattern morphological awareness in Arabic; the second tested morphological processing in Arabic spelling. 143 Arabic native speaking children with normal reading skills in 2nd, 4th and 6th grade participated in the study.
Haitham, Taha, Elinor, Saiegh-Haddad
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Arabic morphological analyzer with text to voice
2012 International Conference on Communications and Information Technology (ICCIT), 2012Arabic has special features that cannot be found in other languages. Almost all software programs that support Arabic do not handle features like semantic and grammar. For this reason we have developed an intelligent morphological Arabic Analyzer that can predict the correct semantic of Arabic sentences and then deliver the correct grammatical form of ...
Raid Zaghal, Asma H. Sbeih
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Computerizing Arabic Morphology
International Journal of Arabic-English Studies, 2002This topic is not novel at all; several similar studies (eg, 1, 3, 4), have been conducted over the past 20 years, but in isolation from one another and without benefiting from each other's achievements. Many theoretical problems in morphology have to be resolved for spell-checking to become an effective feature of Arabic-enabled word processors, yet ...
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Improving Arabic morphological analyzers benchmark
International Journal of Speech Technology, 2016The various tools dedicated to Arabic natural language processing have undergone significant development during recent years. Among these tools, Arabic morphological analyzers are of great importance because they are often used within other projects that are more advanced such as syntactic parsers, search engines, machine translation systems, etc. Thus,
Younes Jaafar +4 more
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Morphological decomposition in Arabic ASR systems
Computer Speech & Language, 2012In recent years, the use of morphological decomposition strategies for Arabic Automatic Speech Recognition (ASR) has become increasingly popular. Systems trained on morphologically decomposed data are often used in combination with standard word-based approaches, and they have been found to yield consistent performance improvements. The present article
Frank Diehl +3 more
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