June 2009
Beginner to intermediate
504 pages
16h 27m
English
Content preview from Natural Language Processing with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Summary
Fundamental data types, present in most corpora, are annotated texts and lexicons. Texts have a temporal structure, whereas lexicons have a record structure.
The life cycle of a corpus includes data collection, annotation, quality control, and publication. The life cycle continues after publication as the corpus is modified and enriched during the course of research.
Corpus development involves a balance between capturing a representative sample of language usage, and capturing enough material from any one source or genre to be useful; multiplying out the dimensions of variability is usually not feasible because of resource limitations.
XML provides a useful format for the storage and interchange of linguistic data, but provides no shortcuts for solving pervasive data modeling problems.
Toolbox format is widely used in language documentation projects; we can write programs to support the curation of Toolbox files, and to convert them to XML.
The Open Language Archives Community (OLAC) provides an infrastructure for documenting and discovering language resources.
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