Wang, J.; Oard, D.W.: Matching meaning for cross-language information retrieval (2012)
0.01
0.01468036 = product of:
0.02936072 = sum of:
0.02936072 = product of:
0.05872144 = sum of:
0.05872144 = weight(_text_:indexing in 7430) [ClassicSimilarity], result of:
0.05872144 = score(doc=7430,freq=2.0), product of:
0.19835205 = queryWeight, product of:
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.051817898 = queryNorm
0.29604656 = fieldWeight in 7430, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.8278677 = idf(docFreq=2614, maxDocs=44218)
0.0546875 = fieldNorm(doc=7430)
0.5 = coord(1/2)
0.5 = coord(1/2)
- Abstract
- This article describes a framework for cross-language information retrieval that efficiently leverages statistical estimation of translation probabilities. The framework provides a unified perspective into which some earlier work on techniques for cross-language information retrieval based on translation probabilities can be cast. Modeling synonymy and filtering translation probabilities using bidirectional evidence are shown to yield a balance between retrieval effectiveness and query-time (or indexing-time) efficiency that seems well suited large-scale applications. Evaluations with six test collections show consistent improvements over strong baselines.