標(biāo)題: Titlebook: Computational Processing of the Portuguese Language; 9th International Co Thiago Alexandre Salgueiro Pardo,António Branco,Ve Conference pro [打印本頁(yè)] 作者: 營(yíng)養(yǎng)品 時(shí)間: 2025-3-21 19:34
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(xué)科排名
書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開(kāi)度
書目名稱Computational Processing of the Portuguese Language網(wǎng)絡(luò)公開(kāi)度學(xué)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(xué)科排名
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書目名稱Computational Processing of the Portuguese Language年度引用學(xué)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(xué)科排名
作者: 子女 時(shí)間: 2025-3-21 23:02 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-22 01:41
P-AWL: Academic Word List for Portuguesent. The aim of this linguistic resource is to provide a solid base for future studies and applications on Computer Assisted Language Learning, while maintaining comparability with other comparable resources.作者: CAGE 時(shí)間: 2025-3-22 08:39
An Open-Source Speech Recognizer for Brazilian Portuguese with a Windows Programming Interfaces system, such as corpora, pronunciation dictionary, language and acoustic models, are publicly available. Here, an application programming interface is proposed in order to facilitate using the open-source Julius speech decoder. Performance tests are presented, comparing the developed systems with a commercial software.作者: packet 時(shí)間: 2025-3-22 11:38
Alexandra Anderluh,Michael Herburgerts, there was still much room for improvement. The participation of six systems in the Portuguese task, with very good results either individually or in an hypothetical combination run, provided a valuable source of information. We made an analysis of all the answers submitted by all systems to iden作者: 奴才 時(shí)間: 2025-3-22 15:45 作者: 奴才 時(shí)間: 2025-3-22 17:02 作者: 脫落 時(shí)間: 2025-3-22 23:31 作者: Infelicity 時(shí)間: 2025-3-23 01:43 作者: cocoon 時(shí)間: 2025-3-23 09:34 作者: 束縛 時(shí)間: 2025-3-23 10:48 作者: 商談 時(shí)間: 2025-3-23 13:51 作者: Prostatism 時(shí)間: 2025-3-23 21:48 作者: GROUP 時(shí)間: 2025-3-24 00:38 作者: Affable 時(shí)間: 2025-3-24 05:20 作者: Asseverate 時(shí)間: 2025-3-24 09:06
Hemendra Nath Roy,Eman Almehdawe,Golam Kabirchical classification should improve phone recognition. In this paper a clustering method is investigated, based on phone confusion matrix, for the data-driven generation of phonetic broad classes (PBC) of the Portuguese language. The method is based on a statistical similarity measurement rather th作者: SPER 時(shí)間: 2025-3-24 13:30 作者: Exposition 時(shí)間: 2025-3-24 17:41 作者: 磨坊 時(shí)間: 2025-3-24 21:30
Political Environment as a Factor of Riskour knowledge for the first time, values for the parameters commonly contemplated in acoustic analyses of emotional speech and investigate if there is any difference for EP relative to the results obtained for other languages. A small corpus contemplating five emotions (joy, sadness, despair, fear, 作者: ineffectual 時(shí)間: 2025-3-24 23:27 作者: 太空 時(shí)間: 2025-3-25 05:33 作者: aggressor 時(shí)間: 2025-3-25 09:30 作者: 凈禮 時(shí)間: 2025-3-25 12:57 作者: 箴言 時(shí)間: 2025-3-25 16:59 作者: 卵石 時(shí)間: 2025-3-25 22:59 作者: 不妥協(xié) 時(shí)間: 2025-3-26 02:06
LXGram: A Deep Linguistic Processing Grammar for PortugueseIn this paper we present LXGram, a general purpose grammar for the deep linguistic processing of Portuguese that delivers high precision grammatical analysis and detailed meaning representations. We present the main design features and evaluation results on the grammar’s coverage as well as its ability to produce correct grammatical analyses.作者: Melanocytes 時(shí)間: 2025-3-26 06:34
Auxiliary Verbs and Verbal Chains in European PortugueseThis paper describes auxiliary verb constructions in European Portuguese in view of their correct parsing in a fully integrated NLP chain. The paper provides data on these constructions over a large-sized corpus and evaluates the parsing system performance.作者: cancer 時(shí)間: 2025-3-26 08:46
Computational Processing of the Portuguese Language978-3-642-12320-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 破譯密碼 時(shí)間: 2025-3-26 14:10
https://doi.org/10.1007/978-3-658-23516-1pervised machine learning algorithms for lexical acquisition. We report on the process of adapting an already existing event extraction system for the domain of conflicts and crises to the Portuguese language.作者: 令人悲傷 時(shí)間: 2025-3-26 19:22 作者: Flavouring 時(shí)間: 2025-3-27 00:23
Douglas S. Thomas,Jennifer F. Helgesonnt. The aim of this linguistic resource is to provide a solid base for future studies and applications on Computer Assisted Language Learning, while maintaining comparability with other comparable resources.作者: Observe 時(shí)間: 2025-3-27 04:15
Weihua Liu,Chaolun Yuan,Gang Zhous system, such as corpora, pronunciation dictionary, language and acoustic models, are publicly available. Here, an application programming interface is proposed in order to facilitate using the open-source Julius speech decoder. Performance tests are presented, comparing the developed systems with a commercial software.作者: 符合你規(guī)定 時(shí)間: 2025-3-27 09:17
https://doi.org/10.1007/978-3-642-12320-7Processing; anaphora; cognition; computational linguistics; information ext; information extraction; nlp; s作者: 演繹 時(shí)間: 2025-3-27 10:08 作者: 令人悲傷 時(shí)間: 2025-3-27 17:18
Thiago Alexandre Salgueiro Pardo,António Branco,VeUp-to-date results.Fast track conference proceedings.State-of-the-art research作者: 女上癮 時(shí)間: 2025-3-27 20:42 作者: 忍耐 時(shí)間: 2025-3-28 01:01 作者: Psychogenic 時(shí)間: 2025-3-28 02:36 作者: Felicitous 時(shí)間: 2025-3-28 07:20 作者: noxious 時(shí)間: 2025-3-28 12:54
Translating from Complex to Simplified Sentencesanslation (SMT) framework to learn how to translate from complex to simplified sentences. Given a parallel corpus of original and simplified texts, aligned at the sentence level, we train a standard SMT system and evaluate the “translations” produced using both standard SMT metrics like BLEU and man作者: AVANT 時(shí)間: 2025-3-28 16:32
Challenging Choices for Text Simplification1) how to deal with adverbial phrases in order to simplify sentences, and 2) the order in which to apply our set of simplification rules. Adverbial phrases have not been considered by previous work on text simplification, but have a considerable impact on the complexity of a sentence. Considering ou作者: 圓桶 時(shí)間: 2025-3-28 20:02 作者: 戰(zhàn)役 時(shí)間: 2025-3-29 00:13
A Machine Learning Approach to Portuguese Clause Identificationst machine-learning-based approach to this task. The proposed system is based on .. In order to train and evaluate the proposed system, we derive a clause annotated corpus from the . corpus of the . – an European and Brazilian Portuguese treebank. We include part-of-speech (POS) tags to the derived 作者: headway 時(shí)間: 2025-3-29 06:32
A Hybrid Approach for Multiword Expression Identificationtion, to improve the quality of results. Statistical methods have been often employed for MWE identification, as an inexpensive and language independent way of finding co-occurrence patterns. On the other hand, more linguistically motivated methods for identification, which employ information such a作者: CRP743 時(shí)間: 2025-3-29 09:50 作者: 縮影 時(shí)間: 2025-3-29 11:59
Comparing Verb Synonym Resources for Portuguese and OpenThesaurusPT. We quantify the extent to which verb synonymy information in four resources overlaps, and we quantify how much novelty each resource in comparison to the others. We demonstrate that the four resources vary . in respect to verb synonymy information. Also, we show that by merging作者: 揭穿真相 時(shí)間: 2025-3-29 15:33
P-AWL: Academic Word List for Portuguesent. The aim of this linguistic resource is to provide a solid base for future studies and applications on Computer Assisted Language Learning, while maintaining comparability with other comparable resources.作者: JOG 時(shí)間: 2025-3-29 23:33
Automatic Phone Clustering Based on Confusion Matriceschical classification should improve phone recognition. In this paper a clustering method is investigated, based on phone confusion matrix, for the data-driven generation of phonetic broad classes (PBC) of the Portuguese language. The method is based on a statistical similarity measurement rather th作者: 有斑點(diǎn) 時(shí)間: 2025-3-30 02:28
An Open-Source Speech Recognizer for Brazilian Portuguese with a Windows Programming Interfaces system, such as corpora, pronunciation dictionary, language and acoustic models, are publicly available. Here, an application programming interface is proposed in order to facilitate using the open-source Julius speech decoder. Performance tests are presented, comparing the developed systems with 作者: altruism 時(shí)間: 2025-3-30 05:08
A Baseline System for Continuous Speech Recognition of Brazilian Portuguese Using the West Point Brae Brazilian Portuguese (BP) language. This lack of corpora does not allow an extensive and deep research on continuous speech recognition systems for BP. In this work, we present a baseline system for continuous speech recognition for BP and its results using the West Point Brazilian Portuguese Corp作者: Proponent 時(shí)間: 2025-3-30 11:14
Voice Quality of European Portuguese Emotional Speechour knowledge for the first time, values for the parameters commonly contemplated in acoustic analyses of emotional speech and investigate if there is any difference for EP relative to the results obtained for other languages. A small corpus contemplating five emotions (joy, sadness, despair, fear, 作者: 情感脆弱 時(shí)間: 2025-3-30 13:42 作者: Cardioversion 時(shí)間: 2025-3-30 17:30
S. Prasanna Venkatesan,Mark Gohture. When the automatic values are used, the system obtains ..=?69.31. These are promising results for a first machine learning approach to Portuguese clause identification. Moreover, these results are achieved using a very simple PCL feature, which is generated by a PCL extractor developed with ve作者: Decrepit 時(shí)間: 2025-3-30 22:58
Political Environment as a Factor of Riskinto consideration the reduced size of our corpus and the use of an actor as informant, no clear EP characteristic emerged, except for a possible, needing confirmation, difference regarding joy, with values similar to neutral speech.作者: Assignment 時(shí)間: 2025-3-31 02:25 作者: 抵押貸款 時(shí)間: 2025-3-31 05:21 作者: 斑駁 時(shí)間: 2025-3-31 10:24 作者: growth-factor 時(shí)間: 2025-3-31 13:56
0302-9743 . The ninth edition of this event was held in Porto Alegre, Brazil, at Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS). It had two main tracks: one for language processing and another one for speech processing. This event ho978-3-642-12319-1978-3-642-12320-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Priapism 時(shí)間: 2025-3-31 17:41
Stephan M. Wagner,Christoph Bodeual inspection. Results are promising according to both evaluations, showing that while the model is usually overcautious in producing simplifications, the overall quality of the sentences is not degraded and certain types of simplification operations, mainly lexical, are appropriately captured.作者: BABY 時(shí)間: 2025-3-31 21:41 作者: Deference 時(shí)間: 2025-4-1 03:25
Conference proceedings 2010cused on Portuguese and the theoretical and technological issues related to this language. It w- comes contributions for both written and spoken language processing. The event is hosted in Brazil and in Portugal. The meetings have been held in Lisbon/Portugal (1993), Curitiba/Brazil (1996), Porto Al作者: 飛行員 時(shí)間: 2025-4-1 08:08
Translating from Complex to Simplified Sentencesual inspection. Results are promising according to both evaluations, showing that while the model is usually overcautious in producing simplifications, the overall quality of the sentences is not degraded and certain types of simplification operations, mainly lexical, are appropriately captured.
