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Like the Brown Corpus, which displays a balanced selection of text genres and sources, TIMIT includes a balanced selection of dialects, speakers, and materials.

At the top level there is a split between training and testing sets, which gives away its intended use for developing and evaluating statistical models.

Despite its complexity, the TIMIT corpus only contains two fundamental data types, namely lexicons and texts.

As we saw in 2., most lexical resources can be represented using a record structure, i.e. A lexical resource could be a conventional dictionary or comparative wordlist, as illustrated.

This last observation is less surprising when we consider that text and record structures are the primary domains for the two subfields of computer science that focus on data management, namely text retrieval and databases.

A notable feature of linguistic data management is that usually brings both data types together, and that it can draw on results and techniques from both fields.

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