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Language Modeling Approaches to Information Retrieval
2009
Journal of Computing Science and Engineering
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 is to model that process via a generative statistical model. In this article, we discuss current
doi:10.5626/jcse.2009.3.3.143
fatcat:ixxzdlrevfd35jemld6vfdrndi