Lexical resources on Arabic tend to focus on the standard version of the language (Modern Standard Arabic, MSA), mostly used in written and formal sources. However, the diffusion of informal genres has increasingly made it necessary the production of wider resources, encompassing the features of spoken varieties commonly found in written texts. The Lahajat project addresses this need by providing a series of rule-based transformations that enlarge existing lexical resources for MSA in order to cover for typical morphonological features found in spoken varieties. In particular, two specific case studies are shown that apply to two widely diverging varieties, Egyptian Arabic and Tunisian Arabish
The Arabic language is a collection of dialectal variants along with the standard form, Modern Stand...
There has been extensive work on Arabic morphology, lexicography and syn-tax resulting in many resou...
The Linguistic Data Consortium and Georgetown University Press are collaborating to create updated e...
Lexical resources on Arabic tend to focus on the standard version of the language (Modern Standard A...
We introduce an electronic three-way lexicon, Tharwa, comprising Dialectal Arabic, Modern Standard A...
We present a method for generating Colloquial Egyptian Arabic (CEA) from morphologically disambiguat...
This article describes the construction of a lexicon and a morphological description for standard Ar...
International audienceThe Algerian Arabic dialects are under-resourced languages, which lack both co...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy...
Abstract. Current Arabic lexicons, whether computational or otherwise, make no distinction between e...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy...
Arabic lexical language resources in a cross-lingual perspective are a major issue in the developmen...
International audienceWe describe a lexicon of Arabic verbs constructed on the basis of Semitic patt...
We provide lexical profiling for Arabic by covering two important linguistic aspects of Arabic lexic...
As the standardized version of the Arabic Language, Modern Standard Arabic (MSA) is the most prevale...
The Arabic language is a collection of dialectal variants along with the standard form, Modern Stand...
There has been extensive work on Arabic morphology, lexicography and syn-tax resulting in many resou...
The Linguistic Data Consortium and Georgetown University Press are collaborating to create updated e...
Lexical resources on Arabic tend to focus on the standard version of the language (Modern Standard A...
We introduce an electronic three-way lexicon, Tharwa, comprising Dialectal Arabic, Modern Standard A...
We present a method for generating Colloquial Egyptian Arabic (CEA) from morphologically disambiguat...
This article describes the construction of a lexicon and a morphological description for standard Ar...
International audienceThe Algerian Arabic dialects are under-resourced languages, which lack both co...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy...
Abstract. Current Arabic lexicons, whether computational or otherwise, make no distinction between e...
Broad-coverage language resources which provide prior linguistic knowledge must improve the accuracy...
Arabic lexical language resources in a cross-lingual perspective are a major issue in the developmen...
International audienceWe describe a lexicon of Arabic verbs constructed on the basis of Semitic patt...
We provide lexical profiling for Arabic by covering two important linguistic aspects of Arabic lexic...
As the standardized version of the Arabic Language, Modern Standard Arabic (MSA) is the most prevale...
The Arabic language is a collection of dialectal variants along with the standard form, Modern Stand...
There has been extensive work on Arabic morphology, lexicography and syn-tax resulting in many resou...
The Linguistic Data Consortium and Georgetown University Press are collaborating to create updated e...