We offer and support NLP(Natural language processing ) & Research. Natural language processing is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human–computer interaction. Shinja accepted many challenges in NLP involve: natural language understanding, enabling computers to derive meaning from human or natural language input; and others involve natural language generation.
Research Profile: Computational Linguistics and Natural Language Processing
(Human) language can be hard to quantify in rules… There are so many irregularities. Machine learning can capture the exceptions for you. It’s powerful, powerful stuff.
Computing Science covers a very wide range of topics. These research areas are very broad categories aimed at pointing you in a general direction according to your interests. Because of the interdisciplinary nature of CS, many of our research groups will fall under more than one research area.
Advanced Man-Machine Interfaces : Research investigates interactions between humans and machines in natural and artificial environments.
Artificial Intelligence : Research involves both basic and applied research, leading to the development of computational theories of intelligence.
Bioinformatics : Research involves the application of computing science techniques to solve problems in biological and medical science.
Communication Networks : Research focuses on data communication. It’s much faster and far more capable of handling immense volumes of data and complex tasks like video on demand and immersive multi-player games. But there’s still room to improve.
Computer Vision and Multimedia Communications : Research includes 3D multimedia representations for efficient online visualization. The multimedia aspect of the team’s work is a key one. “Our WORKPLACE is multimedia, so we make use of video, audio, image, animation, and 3D objects,”
Machine Learning : Provides tools and technologies for finding significant patterns in data. It is most appropriate in information processing situations where training data (such as a database of case studies) is available and it is difficult (or not cost effective) to "engineer in" the solution.
Robotics : Research involves collective robotics, visual robot navigation, visual serving, predictive display for tele-robots and mobile manipulation.