Integrating Linguistic and Signal Knowledge in a Morpheme Based Speech Corpus Annotation Tool
Byeongchang Kim, JIN-SEOK LEE, Jeong-Won Cha, GEUNBAE LEE, Jong-Hyeok Lee · International Journal of Computer Processing Of Languages · 2000
As more and more speech systems require high-level linguistic knowledge to accommodate various levels of applications, corpora that are tagged with high-level linguistic annotations as well as signal-level annotations are highly recommended for development of today's speech systems. Among the high-level linguistic annotations, POS (part-of-speech) tag annotations are indispensable in speech corpora because they provide the basic-level syntactic classes for each morpheme, which are essential for most modern spoken language applications of morphologically complex agglutinative languages such as Korean. Considering the above demands, we have developed a single unified speech corpus tool that enables corpus builders to link linguistic annotations with signal-level annotations using a morphological analyzer and a POS tagger as basic morpheme based linguistic engines, and integrates syntactic analyzer, phrase break detector, graphemeto -phoneme converter, automatic phonetic aligner and stati...