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WIREs Comp Stat

At the interface of computational linguistics and statistics

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Computational linguistics encompasses a broad range of ideas and research areas, and only a brief introduction is possible here. We chose to include areas in computational linguistics where statisticians can contribute, hoping to provide inspiration to the reader. We describe three main aspects of this discipline—formal languages, information retrieval, and machine learning. These support the overarching goal, which is the representation and analysis of meaning from unstructured text. We then provide an example where text analysis has been applied to unstructured text fields in survey records and conclude with some applications and computational resources. WIREs Comput Stat 2015, 7:258–274. doi: 10.1002/wics.1353 This article is categorized under: Applications of Computational Statistics > Computational Linguistics Software for Computational Statistics > Artificial Intelligence and Expert Systems
Generative model where a latent structure generates words w.
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This is a scatter plot matrix of the documents encoded in the four ISOMAP dimensions. The colors and symbols indicate cluster membership found using MBC.
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Two possible parses of the sentence Fido runs.
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Associating gist with topics.
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Applications of Computational Statistics > Computational Linguistics
Software for Computational Statistics > Artificial Intelligence and Expert Systems

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