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检索条件"机构=MIRACL: Multimedia InfoRmation Systems and Advanced Computing Laboratory"

共 120 条记录，以下是71-80 订阅

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Transducers Cascades for an Automatic Recognition of Arabic Named Entities in Order to Establish Links to Free Resources

Transducers Cascades for an Automatic Recognition of Arabic ...

引用

International Conference on Arabic Computational Linguistics (ACLing)

作者： Fatma Ben Mesmia Nathalie Friburger Kais Haddar Denis Maurel University of Sfax Laboratory MIRACL Multimedia InfoRmation Systems and Advanced Computing Laboratory Sfax Tunisia University of François Rabelais of Tours LI Computer laboratory Tours France

Arabic named entities (ANE) are often sources of information. That is why they are used by several applications of natural language processing (NLP) mainly in information retrieval. In order to improve the relevance of the information obtained, links to free resources can be established. Indeed, the recognition of these entities requires the use of adequate formalisms. In this paper, we propose an approach based on transducer cascades which allows the recognition of ANE more precisely the dates. This categorycan be an integral part in the events and the names of places. The implementation of the developed transducers cascades elaborated by using the CasSys tool is available under the Unitex platform. The results are motivating.

关键词： Transducers Automata Pragmatics Dictionaries Hidden Markov models Natural language processing

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The pervasive information system adaptation: Android device context 8

The pervasive information system adaptation: Android device ...

引用

8th International Conference on Mobile Ubiquitous computing, systems, Services and Technologies, UBICOMM 2014

作者： Achour, Fatma Jedidi, Anis Gargouri, Faiez MIRACL Multimedia Information Systems and Advanced Computing Laboratory Sfax University Tunisia

The conceptual step in the pervasive adaptation system is mostly aimed at the success of such a system. It is for this reason that the development of a conceptual adaptation system helps developers to implement their adaptation systems. Accordingly, several categories of contextual information can be presented in a pervasive information system;as such, the network context, the location context, the service context, the application context, the device context, and the person context. Again, a detailed description of each of these contextual information categories allows achieving a better adaptation of the applications to the contexts of use. However, the device context shows the focal point of any information system. In fact, the adaptation of the pervasive information systems, when using contexts, rests on the existing physical constraints in this context. In this paper, we present the architecture of adapting the applications to the pervasive system based on the semantic web services. Specifically, we are interested in the adaptation of the device context. The device contextual data are collected by using an Android program. The adaptation rules are also created using the Jena toolkit.

关键词： information use

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Detection of semantic relationships between terms with a new statistical method

Detection of semantic relationships between terms with a new...

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10th International Conference on Web information systems and Technologies, WEBIST 2014

作者： Ksentini, Nesrine Tmar, Mohamed Gargouri, Faïez MIRACL: Multimedia InfoRmation Systems and Advanced Computing Laboratory University of Sfax Higher Institute of Computer Science and Multimedia of Sfax Sfax Tunisia

ISBN: (纸本)9789897580246

Semantic relatedness between terms plays an important role in many applications, such as information retrieval, in order to disambiguate document content. This latter is generally studied among pairs of terms and is usually presented in a non-linear way. This paper presents a new statistical method for detecting relationships between terms called Least Square Mehod which defines these relations linear and between a set of terms. The evaluation of the proposed method has led to optimal results with low error rate and meaningful relationships. Experimental results show that the use of these relationships in query expansion process improves the retrieval results.

关键词： information retrieval

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Enrichment of the Arabic Treebank ATB with Syntactic Properties

Enrichment of the Arabic Treebank ATB with Syntactic Propert...

引用

International Conference on Arabic Computational Linguistics (ACLing)

作者： Raja Bensalem Bahloul Kais Haddar Philippe Blache Multimedia InfoRmation systems and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia Sfax Tunisia Laboratoire Parole et Langage CNRS Université de Provence Aix-en-Provence France

The enrichment of Arabic treebank with syntactic properties provides the increase of its use in different applications, the acquisition of new linguistic resources and the alleviation of the probabilistic parsing process by using statistics to limit the properties to satisfied ones. This method of enrichment requires two steps to follow starting by inducting a Property Grammar from a source treebank and generating finally the new syntactic property-based representation.

关键词： Syntactics Grammar Fitting XML Indexes Pragmatics Probabilistic logic

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Dynamic Bayesian Networks for multi-dialect Arabic isolated words

Dynamic Bayesian Networks for multi-dialect Arabic isolated ...

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International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2014

作者： Zarrouk, Elyes Benayed, Yassine Gargouri, Faïez MIRACL Multimedia InfoRmation system and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia ISIMS University of Sfax Tunisia

Hidden Markov Models (HMM) are currently widely used in Automatic Speech Recognition (ASR) as being the most effective models. In addition, the HMM are just a special case of graphical models which are dynamic Bayesian Networks (DBN). These are modeling tools more sophisticated because they allow to include several specific variables in the problem of automatic speech recognition other than the one used in HMM. The use of DBNs in speech recognition beyond has generated much interest in recent years. This paper deals a comparative study between DBN and HMM systems for multi-dialect isolated Arabic words. Performance using DBNs is found to exceed that of HMMs trained on an identical task, giving higher recognition accuracy for four different Arabic dialects. In fact, the average of recognition rates for the four dialects with DBN was 83.01% while 74.17% with HMM standards. © (2014) by Society of Digital information and Wireless Communication (SDIWC). All rights reserved.

关键词： Hidden Markov models

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Lip tracking using particle filter and geometric model for visual speech recognition

Lip tracking using particle filter and geometric model for v...

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International Conference on Signal Processing and multimedia Applications (SIGMAP)

作者： Islem Jarraya Salah Werda Walid Mahdi Multimedia InfoRmation systems and Advanced Computing Laboratory (MIRACL) University of Sfax Sfax Tunisia

The automatic lip-reading is a technology which helps understanding messages exchanged in the case of a noisy environment or of elderly hearing impairment. To carry out this system, we need to implement three subsystems. There is a locating and tracking lips system, labial descriptors extraction system and a classification and speech recognition system. In this work, we present a spatio-temporal approach to track and characterize lip movements for the automatic recognition of visemes of the French language. First, we segment lips using the color information and a geometric model of lips. Then, we apply a particle filter to track lip movements. Finally, we propose to extract and classify the visual informations to recognize the pronounced viseme. This approach is applied with multiple speakers in natural conditions.

关键词： Mathematical model Lips Adaptation models Tracking Visualization Mouth Particle filters

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Building an Arabic linguistic resource from a treebank: The case of property grammar

Building an Arabic linguistic resource from a treebank: The ...

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17th International Conference on Text, Speech, and Dialogue, TSD 2014

作者： Bahloul, Raja Bensalem Elkarwi, Marwa Haddar, Kais Blache, Philippe Multimedia Information Systems and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia Sfax Tunisia Laboratoire Parole et Langage CNRS Université de Provence France

ISBN: (纸本)9783319108155

This paper presents a survey of Arabic treebanks to facilitate their reuse for the building of new linguistic resources. In our case, we created from a treebank an automatically induced Property Grammar (GP). So, we discussed characteristics of these treebanks to choose the appropriate one. To build our resource, we adopted an automatic technique, acquiring first a context-free grammar (CFG) from the chosen treebank, and second, inducing a GP by generating relations between grammatical units described in the CFG. © 2014 Springer International Publishing.

关键词： Context free grammars

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Rocchio's model based on vector space basis change for pseudo relevance feedback

Rocchio's model based on vector space basis change for pseud...

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3rd Symposium on Languages, Applications and Technologies, SLATE 2014

作者： Mbarek, Rabeb Tmar, Mohamed Hattab, Hawete Sfax University Multimedia Information Systems and Advanced Computing Laboratory Sfax Tunisia Umm Al-qura University Department of Mathematics Makkah Saudi Arabia

ISBN: (纸本)9783939897682

Rocchio's relevance feedback model is a classic query expansion method and it has been shown to be effective in boosting information retrieval performance. The main problem with this method is that the relevant and the irrelevant documents overlap in the vector space because they often share same terms (at least the terms of the query). With respect to the initial vector space basis (index terms), it is difficult to select terms that separate relevant and irrelevant documents. The Vector Space Basis Change is used to separate relevant and irrelevant documents without any modification on the query term weights. In this paper, first, we study how to incorporate Vector Space Basis Change into the Rocchio's model. Second, we propose Rocchio's models based on Vector Space Basis Change, called VSBCRoc models. Experimental results on a TREC collection show that our proposed models are effective. © Rabeb Mbarek, Mohamed Tmar, and Hawete Hattab.

关键词： Vector spaces

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Feature based link prediction

Feature based link prediction

引用

ACS/IEEE International Conference on Computer systems and Applications

作者： Saoussen Aouay Salma Jamoussi Faiez Gargouri MIRACL Multimedia InfoRmation system and Advanced Computing Laboratory Higher Institute of Computer Science and Multimedia Sfax BP Tunisia

Under the different searches performed to analyzing social networks, much attention has been devoted to the problem of predicting links. It is a key technique in many applications such as recommendation systems which provide suggestions of potential links between nodes. Traditional link prediction methods use a single proximity metric. In this paper, we study link prediction as a supervised learning task where we try to combine multiple features as input data for classification. To improve the accuracy of prediction, we have been applying a select attributes algorithm. Experiments have been performed on two co-authorship data sets. Results demonstrate that Random Forest, k-nearest neighbors and Principal Component Analysis yield the best performances.

关键词： Social network services Prediction algorithms Feature extraction Probabilistic logic Algorithm design and analysis Principal component analysis Communities

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Statistical parametric speech synthesis for Arabic language using ANN

Statistical parametric speech synthesis for Arabic language ...

引用

International Conference on advanced Technologies for Signal and Image Processing (ATSIP)

作者： Rebai Ilyes Yassine Ben Ayed MIRACL: Multimedia InfoRmation system and Advanced Computing Laboratory Sfax University Sfax Tunisie Universite de Sfax Sfax TN

Statistical parametric approach for speech synthesis becomes more popular over the concatenative approach due to the low size of the system and the high-quality speech. Moreover, few researches have been done in the field of speech synthesis for Arabic language with a poor quality of speech. In this paper, we propose a statistical parametric synthesis system for Arabic based on Artificial Neural Networks (ANN). Mel frequency Cepstral coefficients (MFCC), F0, energy and duration are the main components of our system. Speech waveform is generated from the predicted parameters F0, energy and MFCC. Different methods are proposed for this development process. In addition, we propose a method to solve the problem of discontinuities between neighboring segment boundaries in order to improve the speech quality. Experimental results of cepstral and prosodic parameters are given in this paper as well as the subjective evaluation.

关键词： Speech Mel frequency cepstral coefficient Artificial neural networks Speech synthesis Databases

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