TREC-9 Cross-Lingual Retrieval at BBN
Abstract
BBN participated only in the cross-language track at TREC-9. We extended the monolingual approach of Miller et al. (1999), which uses hidden Markov models (HMM), by incorporating translation probabilities from Chinese terms to English terms. In our approach, the IR system ranks documents by the probability that a Chinese document D is relevant given an English query Q, P(D is Rel |Q). Using Bayes Rule, and the fact that P(Q) is constant for a given query, and our initial assumption of a uniform a priori probability that a document is relevant, ranking documents according to P(Q|D is Rel) is the same as ranking them according to P(D is Rel|Q). The approach therefore estimates the probability that a query Q is generated, given the document D is relevant.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2000
- Accession Number
- ADA456316
Entities
People
- Jinxi Xu
- Ralph Weischedel
Organizations
- BBN Technologies