MT evaluation is a very important activity in MT system development. Evaluation of MT systems can help MT developers in understanding the short-comings of their systems and clear focus on the problem… (More)
This Paper reveals the information about Deep Neural Network (DNN) and concept of deep learning in field of natural language processing i.e. machine translation. Now day's DNN is playing major role… (More)
Since long, corporations are looking for knowledge sources which can provide structured description of data and can focus on meaning and shared understanding. Structures which can facilitate open… (More)
In the world of digitization, the growth of big data is raising at large scale with usage of high performance computing. The huge data in English and Hindi is available on internet and social media… (More)
The motivation behind this work is to explore and pursue benefits of Cognitive Informative and Artificial Intelligence. Computer based Image Analysis and Machine Vision are based on Image Processing… (More)
In large societies like India there is a huge demand to convert one human language into another. Lots of work has been done in this area. Many transfer based MTS have developed for English to other… (More)
Understanding the meaning in a text has been an open problem in machine translation research. This paper discusses different supervised machine learning techniques used for disambiguation of correct… (More)
Named entity recognition (NER) is an important and very effective for the Machine Translation, Retrieval (IR), Information Extraction (IE) from huge corpus, Question Answering (QA) system, text… (More)
2015 IEEE 3rd International Conference on MOOCs…
2015
As we are growing in new era of advance technology with Petascale computing, high bandwidth of data transmission, big data storage and the next generation of digital world. It a high time to have… (More)