Georges Antoniadis

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This paper presents a one million word French corpus annotated with anaphoric links. The anaphoric expressions selected are mainly grammatical discourse phenomena for which a reliable annotation could be provided. The annotation scheme, defined in XML, encodes the orientation of the anaphoric relation by using a specific element for relating the anaphoric(More)
In this paper we propose a new approach for determining the adequate sense of Arabic words. For that, we propose an algorithm based on information retrieval measures to identify the context of use that is the most closest to the sentence containing the word to be disambiguated. The contexts of use represent a set of sentences that indicates a particular(More)
In this communication we propose to expose the main pedagogical ressource description standards limitations for the description of raw ressources, through the scope of pedagogical indexation of texts for language teaching. To do so we will resort to the testimony of language teachers reagarding their practices. We will then propose a model supposed to(More)
This work is part of a large research project entitled "Oreillodule" aimed at developing tools for automatic speech recognition, translation, and synthesis for Arabic language. Our attention has mainly been focused on an attempt to present the semantic analyzer developed for the automatic comprehension of the standard spontaneous arabic speech. The findings(More)
In the first part of this article, we explore the background of computer-assisted learning from its beginnings in the early XIX century and the first teaching machines, founded on theories of learning, at the start of the XX century. With the arrival of the computer, it became possible to offer language learners different types of language activities such(More)
This article presents the development of an Arabic online handwriting recognition system based on neural networks approach. It offers solutions for most of the difficulties linked to Arabic script recognition. Secondly, our proposed system will be integrated in Arabic language learning tool to create educational activities and to generate adequate feedback.
This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). First, we have developed some NLP tools: a labelled dictionary of Arabic (as complete as possible), a generator for morphological derivatives, a Conjugator and a morphological analyzer for Arabic. Second, we used these tools to(More)