About Us
Who are we
Lexsense is a language technology research developer and publisher. Lexsense or as its name would reveal is made of two parts "Lex" and it stands for "Lexical" and "Sense" which stands for meaning interpretation and representation. We are working in the field of language technology and linguistics in general since 2008.
Lexsense was create by Chakir Mahjoubi as a professional representation of the projects he is contributing to. Chakir is an independent linguist engineer and researcher specialising in applied linguistics and natural language processing. His research focuses on language translation, language corpus classification and semantic interpretation of things.
Lexsense Mission
Our mission is to help research institutes and language technology enthusiasts reduce the time spent of reading research papers. This way, they will be able to generate more knowledge, innovate faster and deliver the solutions they are working on easily and accurately. We also remove language barriers and make the world more accessible with our data annotation and translation services. We have helped various organizations both in the private and public sectors, providing language solutions to ease data discovery and interoperability.
Research Topics
Our Collaborative hubs brings communities of researchers, developers and digital field enthusiasts together around emerging areas of research. All content published in lexsense portal is fully open access. Our area of interest and research is tied to two field of research: lexicography and semantic. For lexicography, we work on building a multimodal lexical database. For semantic, we work on the extraction of dataset and data classification for topic modelling.
- Knowledge Base for NLP;
- Multimodal Visual Database;
- Semantic Search Engine;
- Information Extraction.
Indexing with Lexsense
We aim to continuously expand coverage our within the following main academic databases:
- Researchgate
- Academia
Our Speciality

Semantic interpretation is the process of understanding the meaning of things—words, images and underlying concepts.

Natural Language Processing enables machines to understand, interpret and respond to natural language in a meaningful way.

Content translation is the process of converting text from one language to another while maintaining its meaning, context, and intent.
Clients






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