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Titlebook: Computational Processing of the Portuguese Language; 11th International C Jorge Baptista,Nuno Mamede,Maria das Graças Volpe Conference pro

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书目名称Computational Processing of the Portuguese Language
副标题11th International C
编辑Jorge Baptista,Nuno Mamede,Maria das Graças Volpe
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Processing of the Portuguese Language; 11th International C Jorge Baptista,Nuno Mamede,Maria das Graças Volpe  Conference pro
描述This book constitutes the refereed proceedings of the 11th International Workshop on Computational Processing of the Portuguese Language, PROPOR 2014, held in Sao Carlos, Brazil, in October 2014. The 14 full papers and 19 short papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections named: speech language processing and applications; linguistic description, syntax and parsing; ontologies, semantics and lexicography; corpora and language resources and natural language processing, tools and applications.
出版日期Conference proceedings 2014
关键词clustering; complex networks; computational semantics; crowd-sourcing; deep learning; grammar; language re
版次1
doihttps://doi.org/10.1007/978-3-319-09761-9
isbn_softcover978-3-319-09760-2
isbn_ebook978-3-319-09761-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Jorge Baptista,Nuno Mamede,Maria das Graças Volpe
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Automatically Recognising European Portuguese Children’s Speeche children’s speech. We expected and were able to identify frequent pronunciation error patterns in the children’s speech. Furthermore, we were able to correlate some of these pronunciation error patterns and automatic speech recognition errors. The findings reported in this paper are of phonetic in
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Acoustic Similarity Scores for Keyword Spottingeyword model likelihood and the generic (filler) model likelihood is used by the classifier to detect relevant peaks values that indicate keyword occurrences. We have changed the standard scheme of keyword spotting system to allow keyword detection in a single forward step. We propose a new log-like
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JMorpher: A Finite-State Morphological Parser in Java for Androidvely runs on Android mobile devices. JMorpher compiles a lexical transducer definition in the AT&T raw text format, of the type generated by Foma and other open source finite-state packages, into an internal Java representation which is drawn upon to parse input strings. Besides the API, JMorpher co
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Training State-of-the-Art Portuguese POS Taggers without Handcrafted Featuresguage’s morphology. In this work, we tackle Portuguese POS tagging using a deep neural network that employs a convolutional layer to learn character-level representation of words. We apply the network to three different corpora: the original Mac-Morpho corpus; a revised version of the Mac-Morpho cor
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