The report addresses the basic problems of the Arabic language formalization based on analysis of linguistic errors in software products. Reviewing the principles of modern information systems operation the authors come to the conclusion that the existing methods of the Arabic formalization allow to note a shift towards the technological aspects of the linguistic processing of facts, however, t...

Arabic script is naturally cursive and unconstrained and, as a result, an automatic recognition of its handwriting is a challenging problem. The analysis of Arabic script is further complicated in comparison to Latin script due to obligatory dots/stokes that are placed above or below most letters. In this paper, we introduce a new approach that performs online Arabic word recognition on a conti...

The rise in Arabic usage within various social media platforms, and notably in Twitter, has led to a growing interest in building Arabic Natural Language Processing (NLP) applications capable of dealing with informal colloquial Arabic, as it is the most commonly used form of Arabic in social media. The unique characteristics of the Arabic language make the extraction of Arabic named entities a ...

The main challenge of this paper is the syntactico-semantic enrichment of LMF normalized dictionaries. To meet this challenge, we propose an approach based on the content of these dictionaries, namely the “Context” fields and the syntactic and semantic knowledge. The proposed approach is composed of three phases. The first one deals with the data set concerning the syntactic arguments of the “C...

Standardized lexical resources are an important prerequisite for the development of robust and wide coverage natural language processing application. Therefore, we applied the Lexical Markup Framework, a recent ISO initiative towards standards for designing, implementing and representing lexical resources, on a test bed of data for an Arabic full form lexicon. Besides minor structural accommoda...

The COVID-19 crisis has made the years 2020 and 2021 an unpolitical spiritual crisis. It affected virtually everybody in world introduced a new normal. Since beginning of outbreak, people have been hooked on consuming news media to follow development this unprecedented disease. Subsequently, language with vocabulary, expressions, metaphors appeared various languages, including English Arabic. D...

Applications of statistical Arabic NLP in general, and text mining in specific, along with the tools underneath perform much better as the statistical processing operates on deeper language factorization(s) than on raw text. Lexical semantic factorization is very important in that aspect due to its feasibility, high level of abstraction, and the language independence of its output. In the core ...

In Cross-Language Information Retrieval (CLIR), queries in one language retrieve relevant documents in other languages. Machine-Readable Dictionaries (MRD) and Machine Translation (MT) systems are important resources for query translation in CLIR. We investigate the use of MT systems and MRD to Arabic-English and English-Arabic CLIR. The translation ambiguity associated with these resources is ...

Arabic is a Semitic language spoken by millions of people in 20 different countries. However, not much work has been done in the field of online dictionaries or lexical resources. WordNet is an example of a lexical resource that has not been yet developed to its full extent for Arabic. WordNet, a lexical database developed by Professor George Miller and his team at Princeton University, has see...