Magda Razímová

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We present a new method for automated discovery of inconsistencies in a complex manually annotated corpora. The proposed technique is based on Apriori algorithm for mining association rules from datasets. By setting appropriate parameters to the algorithm, we were able to automatically infer highly reliable rules of annotation and subsequently we searched(More)
This study is aimed at investigating whether automatic phonetic transcription procedures can approximate manual transcriptions typically delivered with contemporary large speech corpora. To this end, ten automatic procedures were used to generate a broad phonetic transcription of well-prepared speech (read-aloud texts) and spontaneous speech (telephone(More)
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