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Titlebook: Computational Processing of the Portuguese Language; 14th International C Paulo Quaresma,Renata Vieira,Teresa Gonçalves Conference proceedi

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发表于 2025-3-21 18:01:42 | 显示全部楼层 |阅读模式
书目名称Computational Processing of the Portuguese Language
副标题14th International C
编辑Paulo Quaresma,Renata Vieira,Teresa Gonçalves
视频videohttp://file.papertrans.cn/233/232919/232919.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Processing of the Portuguese Language; 14th International C Paulo Quaresma,Renata Vieira,Teresa Gonçalves Conference proceedi
描述.This book constitutes the proceedings of the 14th International Conference on Computational Processing of the Portuguese Language, PROPOR 2020, held in Evora, Portugal, in March 2020...The 36 full papers presented together with 5 short papers were carefully reviewed and selected from 70 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality..
出版日期Conference proceedings 2020
关键词artificial intelligence; computational linguistics; computer systems; databases; engineering; information
版次1
doihttps://doi.org/10.1007/978-3-030-41505-1
isbn_softcover978-3-030-41504-4
isbn_ebook978-3-030-41505-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Sanchay Roy,Knut Alicke,Maren Forsting, a general purpose top ontology. Another aspect to explore is the use of multi-linguality in the disambiguation problem itself, as in the case of “alvo” (aim as target and not goal) which becomes more clear in the Portuguese than the English version.
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Evaluation of Deep Learning Approaches to Text-to-Speech Systems for European Portuguese specific voice, while preserving speaker identity, without requiring large amounts of data. We also perform a comparison between the developed model and a statistical parametric speech synthesizer enhanced by deep learning, concluding that Tacotron-2 provided an overall better word pronunciation, naturalness and intonation.
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Back to the Feature, in Entailment Detection and Similarity Measurement for Portuguesee availability of corpora, since all features are either multilingual or language independent. We obtain competitive results on a recent Portuguese corpus, where our best result is obtained by joining embeddings with lexical features.
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Conference proceedings 2020in Evora, Portugal, in March 2020...The 36 full papers presented together with 5 short papers were carefully reviewed and selected from 70 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural la
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0302-9743 ubmissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality..978-3-030-41504-4978-3-030-41505-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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