Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 8th Language and Tec Zygmunt Vetulani,Patrick Paroubek,Marek Ku

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捕鯨魚叉

How to Improve Optical Character Recognition of Historical Finnish Newspapers Using Open Source Tess5% improvement vs. ABBYY FineReader 7 or 8 and 20.14% improvement vs. ABBYY FineReader 11. Our final precision and recall results on word level show clear improvement in the quality: recall is 76.0 and precision 92.0 in comparison to GT OCR. Other measures, such as recognizability of words with a mo

發(fā)出眩目光芒

BAIL

The Harmonia Corpus – A Dialogue Corpus for Automatic Analysis of Phonetic Convergencet see each other. The recording scenarios consisted of controlled, neutral and expressive tasks and provided over 27?h of speech. This scenario combination is novel and promises to provide an empirical foundation for both linguistic and computational dialogue modelling of both face-to-face and man-m

FECT

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過份艷麗

carotid-bruit

Human Language Technology. Challenges for Computer Science and Linguistics978-3-030-66527-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

Mere僅僅

https://doi.org/10.1007/978-3-030-66527-2artificial intelligence; computational linguistics; computer science; computer systems; data mining; data

ILEUM

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/429286.jpg