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TIMIT was developed by a consortium including Texas Instruments and MIT, from which it derives its name.It was designed to provide data for the acquisition of acoustic-phonetic knowledge and to support the development and evaluation of automatic speech recognition systems.HTML Tidy is a tool for checking and cleaning up HTML source files.It is especially useful for finding and correcting errors in deeply nested HTML, or for making grotesque code legible once more.Moreover, even at a given level there may be different labeling schemes or even disagreement amongst annotators, such that we want to represent multiple versions.A second property of TIMIT is its balance across multiple dimensions of variation, for coverage of dialect regions and diphones.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.

TIMIT illustrates several key features of corpus design.

As in other chapters, there will be many examples drawn from practical experience managing linguistic data, including data that has been collected in the course of linguistic fieldwork, laboratory work, and web crawling.

The TIMIT corpus of read speech was the first annotated speech database to be widely distributed, and it has an especially clear organization.

First, the corpus contains two layers of annotation, at the phonetic and orthographic levels.

In general, a text or speech corpus may be annotated at many different linguistic levels, including morphological, syntactic, and discourse levels.

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