Language competency and extraversion relationships are certainly an important concern for every practitioner conceptualist of Arabic learning. Such is based on understanding language extraversion. ability to enable productively receptively optimized through listening, speaking, reading, writing, components, structure the learned. Extraversion personality a passionate individual, sociability eac...

Sharing lexicon is a direct outcome of language contact situation. When two or more languages exist side-by-side while serving the communicative requirements in particular social situation, they grow an envelope and environment linguistic exchange, sharing among them becomes natural process. In speakers one are bound to incorporate items from their into satisfy communication needs. linguistical...

This study attempts to analyze and evaluate theories and design principles for the design and development of multimedia program for teaching and learning Arabic vocabulary among non-native speakers. In this paper, the researchers mentioned about the research tools, sampling technique and steps as well as population which are related to the design and development process of multimedia courseware...

We describe our work in the EMNLP 2016 second code-switching shared task; a generic language independent framework for linguistic code switch point detection (LCSPD). The system uses characters level 5-grams and word level unigram language models to train a conditional random fields (CRF) model for classifying input words into various languages. We participated in the Modern Standard Arabic (MS...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

Many unsupervised learning techniques have been proposed to obtain meaningful representations of words from text. In this study, we evaluate these various techniques when used to generate Arabic word embeddings. We first build a benchmark for the Arabic language that can be utilized to perform intrinsic evaluation of different word embeddings. We then perform additional extrinsic evaluations of...

Named entity recognition is an involved task and is one that usually requires the usage of numerous resources. Recognizing Arabic entities is an even more difficult task due to the inherent ambiguity of the Arabic language. Previous approaches that have tackled the problem of Arabic named entity recognition have used Arabic parsers and taggers combined with a huge set of gazetteers and sometime...

There are millions of people in the world speak many languages. To communicate with each other it is necessary to know the language which we use. To do this operation we use language identification system. In general, Automatic Speech Recognition for English and other languages has been the subject of most researches in the last forty years. Arabic language research has been growing very slowly...