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

ITC-irst at CLEF 2000: Italian Monolingual Track

Bertoldi, Nicola;Federico, Marcello
2001-01-01

Abstract

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
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/275
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact