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Titlebook: Computational Processing of the Portuguese Language; 15th International C Vládia Pinheiro,Pablo Gamallo,Hugo Pinto Conference proceedings 2

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书目名称Computational Processing of the Portuguese Language
副标题15th International C
编辑Vládia Pinheiro,Pablo Gamallo,Hugo Pinto
视频videohttp://file.papertrans.cn/233/232922/232922.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Processing of the Portuguese Language; 15th International C Vládia Pinheiro,Pablo Gamallo,Hugo Pinto Conference proceedings 2
描述.This book constitutes the proceedings of the 15th International Conference on Computational Processing of the Portuguese Language, PROPOR 2021, held in Fortaleza, Brazil, in March 2021...The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 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 2022
关键词artificial intelligence; classification methods; computational linguistics; computer science; computer s
版次1
doihttps://doi.org/10.1007/978-3-030-98305-5
isbn_softcover978-3-030-98304-8
isbn_ebook978-3-030-98305-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

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Conference proceedings 2022in Fortaleza, Brazil, in March 2021...The 36 full papers presented together with 4 short papers were carefully reviewed and selected from 88 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural
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0302-9743 submissions. They are grouped in topical sections on speech processing; resources and evaluation; natural language processing applications; semantics; natural language processing tasks; and multilinguality..978-3-030-98304-8978-3-030-98305-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Koordination von Zuliefernetzwerkennd an internally built NMT system trained over 30 h on 2,5M sentences. It was found that ambiguity, named entity & terminology and verb valency are the categories where MT systems struggle most. Negation, pronouns, subordination, verb tense/aspect/mood and false friends are the categories where MT systems perform best.
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