Morphological disambiguation of Tunisian dialect
نویسندگان
چکیده
منابع مشابه
Morphological Analysis of Tunisian Dialect
In this paper, we address the problem of the morphological analysis of an Arabic dialect. We propose a method to adapt an Arabic morphological analyzer for the Tunisian dialect (TD). In order to do that, we create a lexicon for the TD. The creation of the lexicon is done in two steps. The first step consists in adapting a Modern Standard Arabic (MSA) lexicon. We adapted a list of MSA derivation...
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Speech recognition for under-resourced languages represents an active field of research during the past decade. The tunisian arabic dialect has been chosen as a typical example for an under-resourced Arabic dialect. We propose, in this paper, our first steps to build an automatic speech recognition system for Tunisian dialect. Several Acoustic Models have been trained using HMM-GMM and HMM-DNN ...
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This paper presents a method to understand spoken Tunisian dialect based on lexical semantic. This method takes into account the specificity of the Tunisian dialect which has no linguistic processing tools. This method is ontology-based which allows exploiting the ontological concepts for semantic annotation and ontological relations for speech interpretation. This combination increases the rat...
متن کاملAutomatic Detection of Transition Zones in Tunisian Dialect
This study is an extension of our last researches about the detection of transition zones based on multiresolution spectral analysis (MRS). In this paper we present the fourth step for the realization of an automatic system for Tunisian Dialect segmentation and analysis. The MRS is calculated over several Fast Fourier Transforms (FFT) of different length. It can provide a higher temporal accura...
متن کاملTransition-Based Morphological Disambiguation
In Morphologically Rich Languages (MRLs), sentences are composed of ambiguous space-delimited tokens that ought to be disambiguated with respect to their constituent morphemes. Previous work on Morphological Disambiguation (MD) of MRLs has had variable success, with Semitic languages having sub-par results for downstream applications. Here we propose novel MD transition-based systems, both word...
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ژورنال
عنوان ژورنال: Journal of King Saud University - Computer and Information Sciences
سال: 2017
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2017.01.004