Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in develo** models for sentiment analysis, the …

In this paper, we present MADAMIRA, a system for morphological analysis and
disambiguation of Arabic that combines some of the best aspects of two previously …

Most tools and resources developed for natural language processing of Arabic are designed
for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian …

The many differences between Dialectal Arabic and Modern Standard Arabic (MSA) pose a
challenge to the majority of Arabic natural language processing tools, which are designed …

The automated processing of Arabic Dialects is challenging due to the lack of spelling
standards and to the scarcity of annotated data and resources in general. Segmentation of …

Algeria's socio-linguistic situation is known as a complex phenomenon involving several
historical, cultural and technological factors. However, there are three languages that are …

Abstract While Modern Standard Arabic (MSA) has many resources, Arabic Dialects, the
primarily spoken local varieties of Arabic, are quite impoverished in this regard. In this …

Arabic dialects do not just share a common koiné, but there are shared pan-dialectal
linguistic phenomena that allow computational models for dialects to learn from each other …

User-generated text tends to be noisy with many lexical and orthographic inconsistencies,
making natural language processing (NLP) tasks more challenging. The challenging nature …

Tokenization represents the way of segmenting a piece of text into smaller units called
tokens. Since Arabic is an agglutinating language by nature, this treatment becomes a …