1. Improving Performance of English-Hindi CLIR System using Linguistic Tools and Techniques

    World Wide Web is growing rapidly and the content on Web of languages other than English is also increasing rapidly compared to English. Hindi is most widely spoken language in India. In past few years Hindi content has also increased rapidly on the Web. To ensure complete information exchange, in the era of globalization the information retrieval systems need to be multilingual or cross lingual. We have designed and developed an English-Hindi Cross Language Information Retrieval (CLIR) System using Dictionary based query translation method. Our previous experiments [5] showed reasonable 64.80% performance of the monolingual retrieval with this system ...
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      Discourse, Entailment, Machine Translation, NER, Parsing, Segmentation, Semantic, Sentiment, Summarization, WSD
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