منابع مشابه
Recognition of Modern Arabic Poems
We propose a machine learning method for recognizing modern Arabic poems based on the common poetic features of modern Arabic poetry. The poetic features include: rhyming, repetition, use of diacritics and punctuations, and text alignment. The method can classify text documents as poem or non-poem documents with a very high accuracy of 99.81%.
متن کاملRecognition of Classical Arabic Poems
This work presents a novel method for recognizing and extracting classical Arabic poems found in textual sources. The method utilizes the basic classical Arabic poem features such as structure, rhyme, writing style, and word usage. The proposed method achieves a precision of 96.94% while keeping a high recall value at 92.24%. The method was also used to build a prototype search engine for class...
متن کاملWeighted Entropy Cortical Algorithms for Modern Standard Arabic Speech Recognition
Cortical algorithms (CA) inspired by and modeled after the human cortex, have shown superior accuracy in few machine learning applications. However, CA have not been extensively implemented for speech recognition applications, in particular the Arabic language. Motivated to apply CA to Arabic speech recognition, we present in this paper an improved CA that is efficiently trained using an entrop...
متن کاملA Rule-Based Entities Recognition System for Modern Standard Arabic
The Named Entity Recognition (NER) is a task in Information Extraction (IE). The Named entity recognition has become very important for natural language processing. The named entity recognition is defined as the detection and classification of entities from un-structured text where for the Arabic language, the named entity recognition is new in the natural language processing although it has pr...
متن کاملColloquialising Modern Standard Arabic Text for Improved Speech Recognition
Modern standard Arabic (MSA) is the official language of spoken and written Arabic media. Colloquial Arabic (CA) is the set of spoken variants of modern Arabic that exist in the form of regional dialects. CA is used in informal and everyday conversations while MSA is formal communication. An Arabic speaker switches between the two variants according to the situation. Developing an automatic spe...
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ژورنال
عنوان ژورنال: Journal of Software
سال: 2015
ISSN: 1796-217X
DOI: 10.17706/jsw.10.4.454-464