This study is an investigation of flaps and trills in Najdi Hijazi Arabic, which are the most spoken Arabic varieties Saudi Arabia. It focuses on how behave relation to vowels consonants two Arabic. The data this were collected from four five participants. A total number 730 sentences read by was found that /r/, underlying phoneme, surfaces as [r] when it occurs word-initially or after a [-coro...

Previous research suggests that different typefaces can be perceived as having distinct personality characteristics (such as strength, elegance, friendliness, romance, and humor) and that these "print personalities" elicit information in the reader that is in addition to the meaning conveyed linguistically by words. However, research in this area has previously been conducted using only English...

Sentence alignment consists in estimating which sentence or sentences in the source language correspond with which sentence or sentences in a target language. We present in this paper a new approach to aligning sentences from a parallel corpus based on a cross-language information retrieval system. This approach consists in building a database of sentences of the target text and considering eac...

Introduction and Overview: The topic of this dissertation is morphosyntactic part of speech tagging (abbreviated POS tagging) for Arabic. This topic has long and rich history for other languages, mainly for English. POS Tagging provides fundamental information about word forms used in sentences of natural language. The method of utilizing this information varies depending on the particular NLP ...

This paper studies the impact of different types of features applied to learning to re-rank questions in community Question Answering. We tested our models on two datasets released in SemEval2016 Task 3 on “Community Question Answering”. Task 3 targeted real-life Web fora both in English and Arabic. Our models include bag-of-words features (BoW), syntactic tree kernels (TKs), rank features, emb...

In the time being, the need for searching in the words, objects, subjects, and statistics of words and parts of the Holy Quran has grown rapidly concurrently with the grow of number of Moslems and the huge usage of smart mobiles, tablets and lab tops. Because, databases are used almost in all activities of our life, some DBs have been built to store information about words and surah of Quran. T...

The aim of this paper is the design and development a new English-Arabic neural machine translation (NMT) called DIA system. main purpose designing system to study translator limited sulfur industry domain as stand-alone tool in order improve quality. Machine (MT) are very sensitive domains they were trained on can be integrated with general (English-Arabic) MT systems. proposed has mainly four...

Arabic is a semitic language characterized by a complex and rich morphology. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approaches to Arabic very challenging. As a result, a practical handwriting recognition system should support large vocabulary to pro...

We propose in this paper a phonetic study of standard Arabic based essentielly on the spectrographic visions of 50 sentences of the DJOUMA corpus we have constituted. This study allowed us to determine the pertinent parameters of continuous speech recognition. For the recognition part, we present the algorithms developed and the results obtained for three important questions: The segmentation o...

A boundary-annotated and part-of-speech tagged corpus is a prerequisite for developing phrase break classifiers. Boundary annotations in English speech corpora are descriptive, delimiting intonation units perceived by the listener. We take a novel approach to phrase break prediction for Arabic, deriving our prosodic annotation scheme from Tajwīd (recitation) mark-up in the Qur‟an which we then ...