派博傳思國(guó)際中心

標(biāo)題: Titlebook: Computational Processing of the Portuguese Language; 11th International C Jorge Baptista,Nuno Mamede,Maria das Gra?as Volpe Conference pro [打印本頁(yè)]

作者: Perforation    時(shí)間: 2025-3-21 19:28
書(shū)目名稱(chēng)Computational Processing of the Portuguese Language影響因子(影響力)




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




書(shū)目名稱(chēng)Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computational Processing of the Portuguese Language被引頻次




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




書(shū)目名稱(chēng)Computational Processing of the Portuguese Language年度引用




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




書(shū)目名稱(chēng)Computational Processing of the Portuguese Language讀者反饋




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





作者: 項(xiàng)目    時(shí)間: 2025-3-21 22:16
Jorge Baptista,Nuno Mamede,Maria das Gra?as Volpe
作者: 從屬    時(shí)間: 2025-3-22 02:04
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
作者: 美食家    時(shí)間: 2025-3-22 05:16

作者: 刻苦讀書(shū)    時(shí)間: 2025-3-22 12:20

作者: 松軟無(wú)力    時(shí)間: 2025-3-22 15:43

作者: 松軟無(wú)力    時(shí)間: 2025-3-22 20:46
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
作者: 為敵    時(shí)間: 2025-3-22 23:52
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
作者: NEX    時(shí)間: 2025-3-23 04:18

作者: sundowning    時(shí)間: 2025-3-23 08:11
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
作者: DALLY    時(shí)間: 2025-3-23 11:49

作者: GREG    時(shí)間: 2025-3-23 14:28
Semi-supervised Parsing of Portugueseuages do not have the necessary resources, and so have a lack of largely available hand-annotated data. This includes Portuguese. So good methods for unsupervised grammar induction are desired. Some models based on constituency are achieving promising results for English. We explore one of them, imp
作者: GUISE    時(shí)間: 2025-3-23 19:44
What We Can Learn from Looking at Profanityver, efforts in recognizing, understanding and dealing with profanity do not share resources, namely, their dataset, which imposes duplication of effort and non-comparable results..We here present a freely available dataset of 2500 messages from a popular Portuguese sports website. About 20% of the
作者: chiropractor    時(shí)間: 2025-3-24 02:05

作者: machination    時(shí)間: 2025-3-24 05:35

作者: 不連貫    時(shí)間: 2025-3-24 09:14
Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portugueethod to build a VerbNet-style lexicon for Brazilian Portuguese. The resulting resource was built semi-automatically by using existing lexical resources for English and Portuguese and knowledge extracted from corpora. The results achieved around 60% of f-measure when compared with a gold standard fo
作者: Iatrogenic    時(shí)間: 2025-3-24 11:12
The Creation of Onto.PT: A Wordnet-Like Lexical Ontology for Portuguesets its development. This dissertation studied the automatic construction of Onto.PT, a large Portuguese wordnet, aiming to minimise the main limitations of existing Portuguese wordnets. On this context, we propose ECO, an approach for creating wordnets automatically from text – relation instances ar
作者: 沒(méi)有準(zhǔn)備    時(shí)間: 2025-3-24 16:09
Comparing Semantic Relatedness between Word Pairs in Portuguese Using Wikipediaeen word pairs. However, there are still many natural languages without sufficient resources to evaluate measures of semantic relatedness. In this paper we translated word pairs from a well-known baseline for evaluating semantic relatedness measures into Portuguese and performed a manual evaluation
作者: 思鄉(xiāng)病    時(shí)間: 2025-3-24 19:28
On the Utility of Portuguese Term-Based Lexical-Semantic Networkss, for Portuguese, these resources have been used in varied natural language processing tasks. We enumerate those, and then introduce a larger resource of this kind together with two additional tasks where it was useful.
作者: Mutter    時(shí)間: 2025-3-24 23:30

作者: 形容詞    時(shí)間: 2025-3-25 05:32

作者: 污點(diǎn)    時(shí)間: 2025-3-25 09:55

作者: pulse-pressure    時(shí)間: 2025-3-25 13:02
Characterizing Parkinson’s Disease Speech by Acoustic and Phonetic Featuresing PD speech were not always found to be statistically significant. The automatic classification tasks to identify the most problematic speakers resulted in high precision and sensitivity by using two formant metrics simultaneously and in even higher performance by using acoustic dynamic parameters.
作者: Cardioversion    時(shí)間: 2025-3-25 19:23

作者: Ondines-curse    時(shí)間: 2025-3-25 23:06
Conference proceedings 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
作者: deciduous    時(shí)間: 2025-3-26 00:53
E-Procurement für Logistik-Dienstleistungen–specific acoustic models for children and the elderly leads to considerable gains in automatic speech recognition performance, as compared with using acoustic models trained with young to middle-aged adults’ speech for recognising their speech, as well.
作者: 一大群    時(shí)間: 2025-3-26 07:00
Supply Chains with Service Level Agreements,n forms of the inflected verbs was performed, and an index of irregularity for verb pronunciation is proposed. A rule-based algorithm to pronounce all inflexions according to verb paradigms is also described. The defined paradigms are, with a high level of certainty, representative of all the verbs for Portuguese.
作者: manifestation    時(shí)間: 2025-3-26 09:38
https://doi.org/10.1007/978-1-4757-6635-6 on large Portuguese lexical transducers of different complexity degrees are provided. The implementation was shown to be very efficient on a desktop PC. Although, on an Android smartphone, JMorpher’s performance is much lower, it is still suited to the needs of NLP tasks in this environment.
作者: Mobile    時(shí)間: 2025-3-26 14:13

作者: 擴(kuò)音器    時(shí)間: 2025-3-26 18:19
Logistics and Fulfillment Servicesf our knowledge, has not been addressed before. In this paper, we also report our efforts on building a sense annotated corpus (for nouns, only), which was used for evaluating the investigated WSD methods.
作者: Aura231    時(shí)間: 2025-3-26 21:00

作者: MITE    時(shí)間: 2025-3-27 02:28

作者: DEMUR    時(shí)間: 2025-3-27 05:49

作者: 分貝    時(shí)間: 2025-3-27 11:42

作者: 蕁麻    時(shí)間: 2025-3-27 17:21

作者: 無(wú)目標(biāo)    時(shí)間: 2025-3-27 18:12

作者: ALE    時(shí)間: 2025-3-27 23:35

作者: DRILL    時(shí)間: 2025-3-28 05:41
0302-9743 OPOR 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, s
作者: FLAIL    時(shí)間: 2025-3-28 08:50
Enterprise-Application-Integration-Systemeo 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.
作者: Genetics    時(shí)間: 2025-3-28 13:53

作者: strain    時(shí)間: 2025-3-28 14:49

作者: 聾子    時(shí)間: 2025-3-28 21:06

作者: 廚房里面    時(shí)間: 2025-3-29 02:51
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.
作者: paroxysm    時(shí)間: 2025-3-29 04:52
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.
作者: 粉筆    時(shí)間: 2025-3-29 09:24

作者: 痛苦一下    時(shí)間: 2025-3-29 14:40
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.
作者: Employee    時(shí)間: 2025-3-29 16:19

作者: Madrigal    時(shí)間: 2025-3-29 22:38
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.
作者: 擋泥板    時(shí)間: 2025-3-30 00:36
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.
作者: 反話(huà)    時(shí)間: 2025-3-30 06:21

作者: Immunization    時(shí)間: 2025-3-30 09:41
Semantic Textual Similarity of Portuguese-Language Texts: An Approach Based on the Semantic Inferentortuguese-language processing application - a Case-Based Reasoning system for Requirements Engineering - provided real scenario to assess how the proposed STS measure contributes to the effectiveness of NLP applications.
作者: Limousine    時(shí)間: 2025-3-30 14:47
0302-9743 yntax and parsing; ontologies, semantics and lexicography; corpora and language resources and natural language processing, tools and applications.978-3-319-09760-2978-3-319-09761-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: fidelity    時(shí)間: 2025-3-30 19:27
Conference proceedings 2014m 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.
作者: 溺愛(ài)    時(shí)間: 2025-3-30 23:26

作者: FIN    時(shí)間: 2025-3-31 03:54
Springer Texts in Business and Economicsmessages 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.
作者: 貪婪地吃    時(shí)間: 2025-3-31 08:54

作者: medium    時(shí)間: 2025-3-31 10:36
https://doi.org/10.1007/978-3-8349-9898-9of each pair. We compared the correlation with similar datasets in other languages and generated LSA models from Wikipedia articles in order to verify the pertinence of each dataset and how semantic similarity conveys across languages.
作者: 冥界三河    時(shí)間: 2025-3-31 14:22
https://doi.org/10.1007/978-3-8349-9898-9ortuguese-language processing application - a Case-Based Reasoning system for Requirements Engineering - provided real scenario to assess how the proposed STS measure contributes to the effectiveness of NLP applications.
作者: 無(wú)聊點(diǎn)好    時(shí)間: 2025-3-31 20:37
Computational Processing of the Portuguese Language978-3-319-09761-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: 蜿蜒而流    時(shí)間: 2025-3-31 22:14
https://doi.org/10.1007/978-3-8349-9898-9s, for Portuguese, these resources have been used in varied natural language processing tasks. We enumerate those, and then introduce a larger resource of this kind together with two additional tasks where it was useful.
作者: lymphedema    時(shí)間: 2025-4-1 05:16
On the Utility of Portuguese Term-Based Lexical-Semantic Networkss, for Portuguese, these resources have been used in varied natural language processing tasks. We enumerate those, and then introduce a larger resource of this kind together with two additional tasks where it was useful.
作者: covert    時(shí)間: 2025-4-1 09:25
Elnaz Miandoabchi,Nasrin AsgariIn this paper, we target the extraction of . relations involving human entities and . occurrences in texts using STRING, a hybrid statistical and rule-based Natural Language Processing chain for Portuguese. Whole-part relation is a semantic relation between an entity that is perceived as a constituent part of another entity, or a member of a set.
作者: Muffle    時(shí)間: 2025-4-1 13:58

作者: 爆炸    時(shí)間: 2025-4-1 17:47
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232920.jpg
作者: 不開(kāi)心    時(shí)間: 2025-4-1 21:21
https://doi.org/10.1007/978-3-319-09761-9clustering; complex networks; computational semantics; crowd-sourcing; deep learning; grammar; language re
作者: Esalate    時(shí)間: 2025-4-1 23:18





歡迎光臨 派博傳思國(guó)際中心 (http://pjsxioz.cn/) Powered by Discuz! X3.5
莒南县| 逊克县| 女性| 探索| 陆丰市| 额尔古纳市| 福建省| 临泉县| 南木林县| 左贡县| 错那县| 县级市| 郓城县| 信丰县| 双江| 稷山县| 佛学| 扎鲁特旗| 承德县| 余江县| 板桥市| 上虞市| 定兴县| 淮南市| 阜新市| 洛隆县| 寿宁县| 新宁县| 德令哈市| 晋城| 东台市| 阳信县| 拉萨市| 开封县| 夏津县| 饶平县| 华蓥市| 马尔康县| 萨迦县| 汤阴县| 佛坪县|