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In recent years, the multilingual content over the internet has grown exponentially together with the evolution of the internet. The usage of multilingual content is excluded from the regional language users because of the language barrier. So, machine translation between languages is the only possible solution to make these contents available for regional language users. Machine translation is the process of translating a text from one language to another. The machine translation system has been investigated well already in English and other European languages. However, it is still a nascent stage for Indian languages. This paper presents an overview of the Machine Translation in Indian Languages shared task conducted on September 7–8, 2017, at Amrita Vishwa Vidyapeetham, Coimbatore, India. This machine translation shared task in Indian languages is mainly focused on the development of English-Tamil, English-Hindi, English-Malayalam and English-Punjabi language pairs. This shared task aims at the following objectives: (a) to examine the state-of-the-art machine translation systems when translating from English to Indian languages; (b) to investigate the challenges faced in translating between English to Indian languages; (c) to create an open-source parallel corpus for Indian languages, which is lacking. Evaluating machine translation output is another challenging task especially for Indian languages. In this shared task, we have evaluated the participant's outputs with the help of human annotators. As far as we know, this is the first shared task which depends completely on the human evaluation. [ABSTRACT FROM AUTHOR]

Work on Malayalam WordNet was initiated in Amrita Vishvavidya Peetam, Coimbatore in December, 2011 as a part of the project entitled "Development of Dravidian WordNet: An Integrated WordNet for Telugu, Tamil, Kannada and Malayalam", funded by Department of Information Technology, MCIT, Govt. of India. The main objective of the project is to build WordNets for Dravidian languages by making use of the already built Hindi WordNet under the project scheme IndowordNet. Hindi WordNet has been built based on Princeton English WordNet which is a component of EuroWordNet. The main objective of EuroWordNet is to develop an extensive and high quality of multilingual database with WordNets for several languages (mainly European Languages such as French, German, Czech, Italian, etc.) in a cost-effective manner. On similar line, IndoWordNet is being built for Indian languages. Malayalam WordNet is a component of Dravidian WordNet which in turn is the component of IndoWordNet. Malayalam WordNet is an online lexical database. It is useful for many applications of Natural Language Processing. [ABSTRACT FROM AUTHOR]