Readings in information retrieval
Readings in information retrieval
A system for the retrieval of Italian broadcast news
Speech Communication - Special issue on accessing information in spoken audio
Tagging English text with a probabilistic model
Computational Linguistics
Statistical cross-language information retrieval using n-best query translations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Statistical Models for Monolingual and Bilingual Information Retrieval
Information Retrieval
The ITC-irst news on demand platform
ECIR'03 Proceedings of the 25th European conference on IR research
Hi-index | 0.00 |
This paper presents work on document retrieval for Italian carried out at ITC-irst. Two different approaches to information retrieval were investigated, one based on the Okapi weighting formula and one based on a statistical model. Development experiments were carried out using the Italian sample of the TREC-8 CLIR track. Performance evaluation was done on the Cross Language Evaluation Forum (CLEF) 2000 Italian monolingual track. The two methods achieved mean average precisions of 49.0% and 47.5%, respectively, which were the two best scores of their track.