找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-2-1 02:50
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
望谟县| 咸宁市| 亚东县| 九台市| 冕宁县| 昆明市| 新津县| 通许县| 赤水市| 色达县| 龙门县| 临城县| 罗平县| 长葛市| 日喀则市| 荔浦县| 麻城市| 丽水市| 静宁县| 布尔津县| 武威市| 湖南省| 沙田区| 东源县| 乐都县| 南乐县| 天门市| 梧州市| 蕉岭县| 许昌县| 上栗县| 桂林市| 阳城县| 偃师市| 嘉祥县| 深泽县| 新化县| 石屏县| 锡林浩特市| 池州市| 彭州市|