منابع مشابه
Use of NLP Tools in CALL System for Arabic
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 create a number of educational applica...
متن کاملArabic Cross-Document NLP for the Hadith and Biography Literature
Recently cross-document integration and reconciliation of extracted information became of interest to researchers in Arabic natural language processing. Given a set of documents A, we use Arabic morphological analysis, finite state machines, and graph transformations to extract named entities Na and relations Ra expressed as edges in a graph G = 〈Na, Ra〉. We use the same techniques to extract e...
متن کاملHierarchical Classifiers for Multi-Way Sentiment Analysis of Arabic Reviews
Sentiment Analysis (SA) is one of hottest fields in data mining (DM) and natural language processing (NLP). The goal of SA is to extract the sentiment conveyed in a certain text based on its content. While most current works focus on the simple problem of determining whether the sentiment is positive or negative, Multi-Way Sentiment Analysis (MWSA) focuses on sentiments conveyed through a ratin...
متن کاملTowards a Learning System Based on Arabic NLP Tools
rights, including translation into other languages reserved by the publisher. No part of this journal may be reproduced or used in any form or by any means without written permission from the publisher, except for noncommercial, educational use including classroom teaching purposes. Product or company names used in this journal are for identification purposes only. Inclusion of the names of the...
متن کاملExplaining Predictions of Non-Linear Classifiers in NLP
Layer-wise relevance propagation (LRP) is a recently proposed technique for explaining predictions of complex non-linear classifiers in terms of input variables. In this paper, we apply LRP for the first time to natural language processing (NLP). More precisely, we use it to explain the predictions of a convolutional neural network (CNN) trained on a topic categorization task. Our analysis high...
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ژورنال
عنوان ژورنال: International Journal of Computational Complexity and Intelligent Algorithms
سال: 2020
ISSN: 2048-4720,2048-4739
DOI: 10.1504/ijccia.2020.105538