applying natural language processing techniques for effective persian- english cross-language information retrieval

much attention has recently been paid to natural language processing in information storage and retrieval. this paper describes how the application of natural language processing ( nlp ) techniques can enhance cross-language information retrieval ( clir ). using a semi-experimental technique, we took farsi queries to retrieve relevant documents in english. for translating persian queries, we used a bilingual machinereadable dictionary. nlp techniques such as tokenization, morphological analysis and part of speech tagging were used in pre-and- post translation phases. results showed that applying nlp techniques yields more effective clir performance.