It may come with annotations such as part-of-speech tags, morphological analysis, discourse structure, and so forth.As we saw in the IOB tagging technique (7.), it is possible to represent higher-level constituents using tags on individual words.
A second property of TIMIT is its balance across multiple dimensions of variation, for coverage of dialect regions and diphones.
Finally, TIMIT includes demographic data about the speakers, permitting fine-grained study of vocal, social, and gender characteristics.
TIMIT illustrates several key features of corpus design.
Like the Brown Corpus, which displays a balanced selection of text genres and sources, TIMIT includes a balanced selection of dialects, speakers, and materials.
For each of eight dialect regions, 50 male and female speakers having a range of ages and educational backgrounds each read ten carefully chosen sentences.