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

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書目名稱Computational Processing of the Portuguese Language影響因子(影響力)




書目名稱Computational Processing of the Portuguese Language影響因子(影響力)學(xué)科排名




書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開度




書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Processing of the Portuguese Language被引頻次




書目名稱Computational Processing of the Portuguese Language被引頻次學(xué)科排名




書目名稱Computational Processing of the Portuguese Language年度引用




書目名稱Computational Processing of the Portuguese Language年度引用學(xué)科排名




書目名稱Computational Processing of the Portuguese Language讀者反饋




書目名稱Computational Processing of the Portuguese Language讀者反饋學(xué)科排名

綠州

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Genistein

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

誘拐

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.