Structured queries, language modeling, and relevance modeling in cross-language information retrieval

Structured queries, language modeling, and relevance modeling in cross-language information retrieval

Two probabilistic approaches to cross-lingual retrieval are in wide use today, those based on probabilistic models of relevance, as exemplified by INQUERY, and those based on language modeling. INQUERY, as a query net model, allows the easy incorporation of query operators, including a synonym operator, which has proven to be extremely useful in cross-language information retrieval (CLIR), in a...

Using Structured Queries for Disambiguation in Cross-Language Information Retrieval

Bilingual transthr dictionaries are an important resource for query translation in cross-language text retrieval. However, term translation is not an isomorphic process, so dictionary-based systems must address the problem of ambiguity in language translation. In this paper, we claim that boolea~l conjunction (the AND operator) provides siml)le and automatic disambiguation in the target languag...

Statistical language modeling for information retrieval

Language Modeling Approaches to Information Retrieval

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal ...

Structured Language Modeling Forspeech

We present revised Wall Street Journal (WSJ) lattice rescoring experiments using the structured language model (SLM). 1 Experiments We repeated the WSJ lattice rescoring experiments reported in 1] in a standard setup. We chose to work on the DARPA'93 evaluation HUB1 test set | 213 utterances, 3446 words. The 20kwds open vocabulary and baseline 3-gram model are the standard ones provided by NIST...