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

Perforation

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)學科排名




書目名稱Computational Processing of the Portuguese Language網絡公開度




書目名稱Computational Processing of the Portuguese Language網絡公開度學科排名




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讀者反饋學科排名

項目

Jorge Baptista,Nuno Mamede,Maria das Gra?as Volpe

從屬

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

為敵

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

NEX

sundowning

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