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

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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
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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
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Human Language Technology. Challenges for Computer Science and Linguistics978-3-030-66527-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-030-66527-2artificial intelligence; computational linguistics; computer science; computer systems; data mining; data
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/429286.jpg
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