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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.These are organized into a tree structure, shown schematically in 1.2.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.Two sentences, read by all speakers, were designed to bring out dialect variation: The remaining sentences were chosen to be phonetically rich, involving all phones (sounds) and a comprehensive range of diphones (phone bigrams).
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.
Moreover, notice that all of the data types included in the TIMIT corpus fall into the two basic categories of lexicon and text, which we will discuss below.
Even the speaker demographics data is just another instance of the lexicon data type.
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.
Finally, notice that even though TIMIT is a speech corpus, its transcriptions and associated data are just text, and can be processed using programs just like any other text corpus.