Title: Applying Natural Language Processing Techniques for Effective Persian- English Cross-Language Information Retrieval
Abstract: 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.
Publication Year: 2012
Publication Date: 2012-07-16
Language: en
Type: article
Access and Citation
Cited By Count: 3
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot