SCBD (Sentence and Chunk Boundaries Detector)
SCBD (Sentence and Chunk Boundaries Detector) was an NLP tool suited to Modern Greek text. It could detect sentence and chunk boundaries within an unrestricted text, could assign style markers, and was effective even on a large corpus of 200,000 words
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- Type of analysis: Natural Language Processing Analysis Content Analysis
- Ease of Use: Moderate
- Historic Tool (developed before 2005): Influential No longer in active development
- TaDiRAH Goals: Analysis
- TaDiRAH Methods: Content Analysis
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More information on SCBD's applications and development are available in the following articles:
E. Stamatatos, N. Fakotakis and G. Kokkinakis. “A Practical Chunker for Unrestricted Text.” Proceedings of the Second International Conference on Natural Language Processing, 2000.
E. Stamatatos, N. Fakotakis and G. Kokkinakis. \"Computer-Based Authorship Attribution Without Lexical Measures.\" Computers and the Humanities 35.2 (2001): 193-214. Web.