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A Practical and Interactive web-based Software for Online Qur'anic Arabic Learning 6

A Practical and Interactive Web-based Software for Online Qu...

引用

6th international conference on information and Communication technology for the Muslim World (ICT4M)

作者： Abdullah, Matin Saad Rahman, M. M. Hafizur Pathan, Al-Sakib Khan Al Shaikhli, Imad Fakhri Int Islamic Univ Malaysia Dept Comp Sci Kuala Lumpur Malaysia Southeast Univ Dept Comp Sci & Engn Dhaka Bangladesh Islamic Univ Madinah Fac Comp & Informat Syst Madinah Saudi Arabia

ISBN: (纸本)9781509045211

the intent of this paper is to summarize and analyze the data and experience earned from a practical implementation of online language learning approach specifically targeted to Qur'anic Arabic learning. the foundation of this work is based on the fact that in the current world, almost 80% of the Muslims are non-native speakers/users of Arabic language. As a religious obligation, a part of the Arabic Qur'an must be memorized by each of them to recite during the formal prayers. While for native Arabic speaking people, it is relatively easy to understand, this approach of ours aims at achieving a level of understanding of the recited Arabic words even for the non-native users. the power of information and Communications technology (ICT) is effectively used in this domain. the experience could be expanded to cover other language learning approaches;however, our web-based software does have some solid rationale-base to make it specific for Qur'anic Arabic only. Alongside presenting the gained results, we provide necessary backgrounds, theoretical analysis and modeling, and details about the practical implementation of the prototype. We discuss the design of different natural language processing algorithms for analyzing the Qur'anic corpus in order to identify and extract frequently occurring common language patterns to automate the production of educational material for the system. We also present some feedback of the user community built around the initial prototype which serves as a framework for capturing requirements from the world-wide user base (for each iteration) which is an essential component for the design based research methodology of the work.

关键词： Arabic Learning Online Qur'an Software web

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A Bayesian information Criterion Based Approach for Model Complexity Selection in Speaker Identification

A Bayesian Information Criterion Based Approach for Model Co...

引用

7th international conference on advanced language processing and web information technology

作者： Geng, Yun-Xiao Wu, Wei State Key Lab Virtual Real Technol & Syst Beijing Peoples R China

ISBN: (纸本)9780769532738

Model complexity selection is important in the task of speaker identification. A Bayesian information Criterion (BIC) based approach for model complexity selection is proposed in this paper. the speaker models are trained with the speech features. then the BIC values of speaker models are calculated. In order to reduce the computation of training speaker models with different complexity, the greedy strategy is used to search the locally optimal model complexity. the experiments compare the model complexity selection effect of the proposed approach to the fixed size fashion and other model selection methods. the results demonstrate the effectiveness of the proposed approach.

关键词： Loudspeakers

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Automatic web Services Composition Based On Reasoning Petri Net

Automatic Web Services Composition Based On Reasoning Petri ...

引用

7th international conference on advanced language processing and web information technology

作者： Le, Jia-Jin He, Feng DongHua Univ Sch Comp Sci & Technol Shanghai Peoples R China North Univ Natl Sch Comp Sci & Engn Ningxia Peoples R China

ISBN: (纸本)9780769532738

this paper proposes an automatic web services composition method that satisfies the user's request efficiently. Use the method, the available services in a local repository described in OWL-S are translated into a set of production rules, and the dependency rules of the web services are established using interface matchmaking. We choose reasoning Petri nets (RPN) as the model of this set of production rules. then we design a web services composition reasoning algorithm based on the RPN model. the reasoning process of web services composition is accomplished more simply, quickly, and its efficiency is also improved due to the parallel operation ability of Petri net.

关键词： Petri nets

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AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSES USING TAGHELPER

AUTOMATIC GENERATION OF ON-LINE CONCEPTUAL ASSESSMENT COURSE...

引用

6th international conference on web information Systems and Technologies

作者： Pascual-Nieto, Ismael Perez-Marin, Diana Univ Autonoma Madrid Dept Comp Sci E-28049 Madrid Spain Univ Rey Juan Carlos Comp & Language Dept 1 Madrid Spain

ISBN: (纸本)9789896740252

TagHelper is a verbal data analysis application. It is based on the use of the Weka toolkit. It is able to classify sentences as one of a set of categories previously introduced into the system. TagHelper has been used to support data analysis in English, German, and Chinese. TagHelper has been recently extended to support Spanish too. the Will Tools are a set of web-based learning tools able to automatically assess students' free-text answers written in Spanish or in English. In this paper, we describe a new procedure to generate a conceptual assessment course in the format required by the Will Tools automatically from web data using TagHelper in Spanish. the procedure has been successfully implemented, and two different courses have already been generated.

关键词： Computer Assisted Assessment Text processing Authoring of web-based courses e-Learning

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Cross-Domain Semantic web Model for Understanding Multilingual Natural language Queries: English/Arabic Health/Food Domain Use Case 7

Cross-Domain Semantic Web Model for Understanding Multilingu...

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7th international conference on Ambient Systems, Networks and Technologies (ANT) / 6th international conference on Sustainable Energy information technology (SEIT)

作者： Al-Nazer, Ahmed Albukhitan, Saeed Helmy, Tarek King Fahd Univ Petr & Minerals Informat & Comp Sci Dept Coll Comp Sci & Engn Mail Box 413 Dhahran 31216 Saudi Arabia

With the growth of the Semantic web and its applications, the need to use it in different languages, such as Arabic, is becoming more important. Two of the challenges with the Semantic web technologies are the lack of multilingual support and the complexity of integrating multiple ontologies used by this technology. the objective of this paper is to present efforts that will help users who use the Arabic language to ask natural language questions and then get their semantic representation in SPARQL that allows them to be executed and get the relevant semantic results. this natural language interface makes more use of the cross-domain ontologies and hence improves the understanding of their inquiries, which is needed in some critical domains such as health and food where precise advice is essential. the approach we followed is multilingual and overcomes the limitations in the published relevant systems. With the proposed approach, users who speak Arabic can use the widely published ontologies in English without concern for the translation of their questions. the proposed approach will take care of matching the entered questions with the relevant ontologies to produce their semantic web queries. the proposed approach has been implemented and empirically evaluated. the experimental results are promising, which will help in improving the awareness and usage of the Semantic web by different lingual and cultural users. (C) 2016 the Authors. Published by Elsevier B.V.

关键词： Semantic web SPARQL Arabic Natural language Question Answering Semantic web Service

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Statistical Machine Translation System for Indian languages 6

Statistical Machine Translation System for Indian Languages

引用

IEEE 6th international Advance Computing conference (IACC)

作者： Raju, B. N. V. Narasimha Raju, M. S. V. S. Bhadri SRKR Engn Coll CSE Bhimavaram India

ISBN: (纸本)9781467382861

Statistical Machine Translation (SMT) is a part of Natural language processing. this translates one language to another language. SMT consists of language Model (LM), Translation Model (TM) and decoder. the decoder will make use of LM and TM to generate the translation. In this, probability of target language sentences is computed by LM, the given source sentence probability of the target sentence is computed by TM and maximizing the probability of translated text is done by Moses. English and Telugu parallel corpus have been used for training the system. Translation mainly depends on quality and quantity of corpus. In this, a model was proposed for translation of Telugu language to English language.

关键词： Statistical Machine Translation Machine Translation Cross language information Retrieval Corpus-Based Machine Translation

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A Development of Active Monitoring System for Intelligent RFID Logistics processing Environment

A Development of Active Monitoring System for Intelligent RF...

引用

7th international conference on advanced language processing and web information technology

作者： Oh, Ryumduck Park, Jeyh Chungju Natl Univ Dept Comp Sci 72 Daehak Ro Chungju Si 380702 Chungbuk Do South Korea INPOESTI Co LTD Res & Dev Ctr Chungju Si 380702 Chungbuk Do South Korea

ISBN: (纸本)9780769532738

In this paper, we propose the active monitoring model for the workflow of RFID logistics management system, and besides the function of taking materials in and out, technology to handle each step for efficient logistics management is applied. For the inventory inspection, users take goods in and out in real time by attaching tags on each item and inspects the stored inventory rapidly with stock inspector and input the result automatically in real time. the user interface to display the optimized data process and status in real time environment has been constructed.

关键词： User interfaces

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Elaboration of a model for an indexed base for teaching Arabic language to disabled people

Elaboration of a model for an indexed base for teaching Arab...

引用

6th international conference on Computer Science and information technology (CSIT)

作者： Boudhief, Asma Maraoui, Mohsen Zrigui, Mounir Higher Sch Sci & Tech Tunis LATICE Lab Tunis Tunisia Univ Monastir Monastir Tunisia Univ Monastir LATICE Lab Monastir Tunisia

ISBN: (纸本)9781479939992

In this paper we carried out a bibliographic research concerning distance learning, pedagogical indexing and integration of accessibility in e-Learning platforms. then, to achieve the goals we have chosen "IMS AccessForALL" as standard to realize our model. the model that we realized is consistent with the standard followed. We also taken into consideration the guidelines of the WAI (web accessibilty Initiative) presented in WCAG. Finally, for the step of indexing, we started with the creation of the XML schema, then the indexation of resources in the true sense of the term.

关键词： E-learning pedagogical indexation complexity of the Arabic language standards of description pedagogical resources Accessibility the standard IMS specification Access for All AFA

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Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the web 6

Learning Based Approaches for Vietnamese Question Classifica...

引用

6th international Joint conference on Natural language processing, IJCNLP 2013

作者： Tran, Dang Hai Chu, Cuong Xuan Pham, Son Bao Le Nguyen, Minh University of Engineering and Technology Vietnam National University Viet Nam Japan Advanced Institute of Science and Technology Japan

ISBN: (纸本)9784990734800

this paper presents our research on automatic question classification for Vietnamese using machine learning approaches. We have experimented with several machine learning algorithms utilizing two kinds of feature groups: bag-of-words and keywords. Our research focuses on two most important tasks which are corpus building and features extraction by crawling data from the web to build a keyword corpus. the performance of our approach is promising where our system’s precision outperforms the state-of-the-art Tree Kernel approach (Collins and Duffy, 2001) on a Vietnamese question corpus. © IJCNLP *** right reserved.

关键词： Machine learning

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Extraction of Informative Blocks from web Pages

Extraction of Informative Blocks from Web Pages

引用

7th international conference on advanced language processing and web information technology

作者： Cao, YuJuan Niu, ZhenDong Dai, LiuLing Zhao, YuMing Beijing Inst Technol Comp Sci Lab Beijing 100081 Peoples R China

ISBN: (纸本)9780769532738

Typically web pages always contain a large amount of banner ads, navigation bars, and copyright notices etc. Such irrelevant information is not part Of the main contents of the pages, they will seriously harm web mining and searching. In this paper, we develop and evaluate a method that utilizes both the visual features and the semantic information to extract informative blocks. We first partition a web page into semantic blocks using vision-based page segmentation. the visual and the semantic information got by LSI (Latent Semantic Indexing) are extracted to form the feature-vector of the block. Second we manually annotate informative or uninformative labels to the blocks. the labeled blocks are used as training dataset to train a classification model. then the informative blocks can be extracted through the model. Our experiments show that the proposed EIBA (Extract Informative Block Arithmetic) is able to dramatically improve the results in near-duplicate detection and classification tasks.

关键词： information extraction web web Page segmentation data mining VIPS LSI SVM

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