An era of multi-lingual web contents has begun. Web users add, update and search contents
in local languages. Automatic translator scripts present available contents in local …

Now a days, number of Web Users accessing information over Internet is increasing day by
day. A huge amount of information on Internet is available in different language that can be …

The goal of an information retrieval system is to provide the information that is relevant to the
user's query. In some cases the information relevant to the user request may not exist in the …

In this paper we extended our first experiment on Neural Machine Translation (NMT) based
query translation for Amharic-Arabic Cross Language Information Retrieval (CLIR) task to …

The demand for multilingual information is becoming perceptive as the users of the internet
throughout the world are escalating and it creates a problem of retrieving documents in one …

A first level, rule based machine translation system has been designed and developed for
words and simple sentences of the classical Dravidian language pair Kannada–Tamil. Both …

This paper describes our first experiment on Neural Machine Translation (NMT) based query
translation for Amharic-Arabic Cross-Language Information Retrieval (CLIR) task to retrieve …

Hindi, the national language of India is widely spoken in the country and is the most
preferred language after English. Hindi not only has one of the richest vocabularies but it …

In a country like India where 22 languages are constitutionally accepted presents a
language barrier among people. For better communication, a number of Machine …