Cross Language Text Retrieval: A Review P.ISWARYA, Dr.V.RADHA

The World Wide Web has evolved into a tremendous source of information and it continues to grow at exponent rate. Now a day’s web servers are storing different types of contents in different languages and their usage is increasing rapidly. According to Online Computer Library Center, English is still a dominant language in the Web. Only small percentage of population is familiar with English language and they can express their queries in English to access the content in a right way. Due to globalization, content storage and retrieval must be possible in all languages, which is essential for developing nations like India. Diversity of languages is becoming great barrier to understand and enjoy the benefits in digital world. Cross Language Information Retrieval (CLIR) is a subfield of Information retrieval; user can retrieve the objects in a language different from the language of query expressed. These objects may be text documents, passages, audio or video and images. Cross Language Text Retrieval (CLTR) is used to return text documents in a language other than query language. CLTR technique allows crossing the language barrier and accessing the web content in an efficient way. This paper reviews some types of translations carried out in CLTR, ranking methods used in retrieval of documents and some of their related works. It also discusses about various approaches and their evaluation measures used in various applications