Accession Number:

ADA456316

Title:

TREC-9 Cross-Lingual Retrieval at BBN

Descriptive Note:

Conference paper

Corporate Author:

BBN TECHNOLOGIES CAMBRIDGE MA

Personal Author(s):

Report Date:

2000-01-01

Pagination or Media Count:

11.0

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, PD is Rel Q. Using Bayes Rule, and the fact that PQ 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 PQD is Rel is the same as ranking them according to PD is RelQ. The approach therefore estimates the probability that a query Q is generated, given the document D is relevant.

Subject Categories:

  • Information Science
  • Linguistics
  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE