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

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樓主: Perforation
41#
發(fā)表于 2025-3-28 14:49:11 | 只看該作者
42#
發(fā)表于 2025-3-28 21:06:55 | 只看該作者
43#
發(fā)表于 2025-3-29 02:51:25 | 只看該作者
Automatically Recognising European Portuguese Children’s Speecho correlate some of these pronunciation error patterns and automatic speech recognition errors. The findings reported in this paper are of phonetic interest but will also be useful for improving the performance of automatic speech recognisers aimed at children representing the target population of the study.
44#
發(fā)表于 2025-3-29 04:52:10 | 只看該作者
Extending a Lexicon of Portuguese Nominalizations with Data from Corpora. We discuss the reasons for this extension with corpus data, the methodology we followed, as well as our reasons for suggesting that the extended lexicon of nominalizations is a useful resource for researchers interested in Knowledge Representation of information extracted from Portuguese texts.
45#
發(fā)表于 2025-3-29 09:24:20 | 只看該作者
46#
發(fā)表于 2025-3-29 14:40:59 | 只看該作者
Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portuguees for English and Portuguese and knowledge extracted from corpora. The results achieved around 60% of f-measure when compared with a gold standard for Brazilian Portuguese, which is also described in this paper. The method proposed here also outperformed state-of-art machine learning method (verb clustering) by around 20% of f-measure.
47#
發(fā)表于 2025-3-29 16:19:50 | 只看該作者
48#
發(fā)表于 2025-3-29 22:38:46 | 只看該作者
What We Can Learn from Looking at Profanitymessages had profanity, thus we annotated 726 swear words, 510 of which were obfuscated by the authors. We also identified the most frequent profanities, and what methods, and combination of methods, people used to disguise their cursing.
49#
發(fā)表于 2025-3-30 00:36:20 | 只看該作者
The Creation of Onto.PT: A Wordnet-Like Lexical Ontology for Portuguesee extracted, synonymy clusters (synsets) are discovered, and the remaining relations are then attached to suitable synsets. This document also reports on the contents of Onto.PT, its comparison to other wordnets, and its evaluation.
50#
發(fā)表于 2025-3-30 06:21:45 | 只看該作者
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