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Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears.

Our core emphasis is on Research and Development. Mustus is evolving into India's most advanced R & D organization, with state-of-the-art design and development environments. Our team of highly qualified professionals works on R & D tracks covering expert systems in Agriculture, Medical and Financial domain and diversified range of products in Natural Language Processing.

Some of the projects under this section are: -


A different approach that brings the power of NLP in liaison with the Financial Expert Systems to bring out the Normalization in the data extraction process, thus lead to reliable and convenient way to address the retrieval process.
Dhanvantari is a cross-lingual medical information system that simulates real-life human dependent medical system using NLP based query understanding and intelligent information retrieval in different linguistic domains.The crux of the system lies in grasping user queries in any natural language form and resolves them using semantic-pragmatic sense-retrieval in different modes of information traversal,ie;www,telephone,mobile,pager etc.


A Natural Language Processing based Packet sniffer that analyzes, simulates and monitors each passing packets to identify the sensitive ones depending upon the rules and logs them for future references.


A English-Hindi sense translator that takes out the meaning of the text and translates it in hindi language thus enabling the user to understand the meaning of the text. The system is designed as a part of the pilot project for the concept. The team is taking the concept across german, spanish and french languages..


A project designed to enable the quantitative comparison of different approaches to automated word-sense disambiguation, in English and other languages. In order to prepare the data used in the evaluation, sense-tagging tools are being developed. This exercise also provides an opportunity to assess the validity of our lexicon's sense inventory and to associate English word senses with those from the other evaluation languages.

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