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Artigo de periodico
NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese (2024)
Leal, Sidney Evaldo ; Duran, Magali Sanches ; Scarton, Carolina Evaristo ; Hartmann, Nathan Siegle ; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEAL, Sidney Evaldo et al. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. Language Resources and Evaluation, v. 58, n. 1, p. 73-110, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10579-023-09693-w. Acesso em: 23 abr. 2024.
APA
Leal, S. E., Duran, M. S., Scarton, C. E., Hartmann, N. S., & Aluísio, S. M. (2024). NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese. Language Resources and Evaluation, 58( 1), 73-110. doi:10.1007/s10579-023-09693-w
NLM
Leal SE, Duran MS, Scarton CE, Hartmann NS, Aluísio SM. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2024 ; 58( 1): 73-110.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-023-09693-w
Vancouver
Leal SE, Duran MS, Scarton CE, Hartmann NS, Aluísio SM. NILC-Metrix: assessing the complexity of written and spoken language in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2024 ; 58( 1): 73-110.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-023-09693-w
Artigo de periodico-carta/editorial
Computational approaches to portuguese [Editorial]: introduction to the special issue (2024)
Santos, Diana; Pardo, Thiago Alexandre Salgueiro
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA COMPUTACIONAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Diana e PARDO, Thiago Alexandre Salgueiro. Computational approaches to portuguese [Editorial]: introduction to the special issue. Language Resources and Evaluation. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10579-024-09729-9. Acesso em: 23 abr. 2024. , 2024
APA
Santos, D., & Pardo, T. A. S. (2024). Computational approaches to portuguese [Editorial]: introduction to the special issue. Language Resources and Evaluation. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/s10579-024-09729-9
NLM
Santos D, Pardo TAS. Computational approaches to portuguese [Editorial]: introduction to the special issue [Internet]. Language Resources and Evaluation. 2024 ; 58( 1): 1-6.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-024-09729-9
Vancouver
Santos D, Pardo TAS. Computational approaches to portuguese [Editorial]: introduction to the special issue [Internet]. Language Resources and Evaluation. 2024 ; 58( 1): 1-6.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-024-09729-9
Artigo de periodico
CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese (2023)
Candido Junior, Arnaldo ; Casanova, Edresson ; Soares, Anderson da Silva ; Oliveira, Frederico Santos de ; Oliveira, Lucas; Fernandes Junior, Ricardo Corso; Silva, Daniel Peixoto Pinto da ; Fayet, Fernando Gorgulho; Carlotto, Bruno Baldissera; Gris, Lucas Rafael Stefanel ; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: RECONHECIMENTO DA FALA, LINGUÍSTICA DE CORPUS, PROCESSAMENTO DE LINGUAGEM NATURAL, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANDIDO JUNIOR, Arnaldo et al. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. Language Resources and Evaluation, v. 57, n. 3, p. 1139-1171, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10579-022-09621-4. Acesso em: 23 abr. 2024.
APA
Candido Junior, A., Casanova, E., Soares, A. da S., Oliveira, F. S. de, Oliveira, L., Fernandes Junior, R. C., et al. (2023). CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese. Language Resources and Evaluation, 57( 3), 1139-1171. doi:10.1007/s10579-022-09621-4
NLM
Candido Junior A, Casanova E, Soares A da S, Oliveira FS de, Oliveira L, Fernandes Junior RC, Silva DPP da, Fayet FG, Carlotto BB, Gris LRS, Aluísio SM. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ; 57( 3): 1139-1171.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-022-09621-4
Vancouver
Candido Junior A, Casanova E, Soares A da S, Oliveira FS de, Oliveira L, Fernandes Junior RC, Silva DPP da, Fayet FG, Carlotto BB, Gris LRS, Aluísio SM. CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese [Internet]. Language Resources and Evaluation. 2023 ; 57( 3): 1139-1171.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-022-09621-4
Artigo de periodico
RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese (2022)
Leal, Sidney Evaldo ; Lukasova, Katerina ; Carthery-Goulart, Maria Teresa ; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, CORPUS, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEAL, Sidney Evaldo et al. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, v. 56, n. 4, p. 1333-1372, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-022-09609-0. Acesso em: 23 abr. 2024.
APA
Leal, S. E., Lukasova, K., Carthery-Goulart, M. T., & Aluísio, S. M. (2022). RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese. Language Resources and Evaluation, 56( 4), 1333-1372. doi:10.1007/s10579-022-09609-0
NLM
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Vancouver
Leal SE, Lukasova K, Carthery-Goulart MT, Aluísio SM. RastrOS Project: natural language processing contributions to the development of an eye‑tracking corpus with predictability norms for brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 4): 1333-1372.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-022-09609-0
Artigo de periodico
Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach (2022)
Gazzola, Murilo Gleyson ; Leal, Sidney Evaldo ; Pedroni, Breno ; Rocha, Fábio Theoto ; Pompéia, Sabine ; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DE TEXTO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAZZOLA, Murilo Gleyson et al. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, v. 56, n. 2, p. 621-650, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09571-3. Acesso em: 23 abr. 2024.
APA
Gazzola, M. G., Leal, S. E., Pedroni, B., Rocha, F. T., Pompéia, S., & Aluísio, S. M. (2022). Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach. Language Resources and Evaluation, 56( 2), 621-650. doi:10.1007/s10579-021-09571-3
NLM
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Vancouver
Gazzola MG, Leal SE, Pedroni B, Rocha FT, Pompéia S, Aluísio SM. Text complexity of open educational resources in Portuguese: mixing written and spoken registers in a multi-task approach [Internet]. Language Resources and Evaluation. 2022 ; 56( 2): 621-650.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-021-09571-3
Artigo de periodico
TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese (2022)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Teixeira, João Paulo ; Ponti, Moacir Antonelli ; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: CORPUS, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL, INTERFACE HOMEM-COMPUTADOR, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, v. 56, n. 3, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09570-4. Acesso em: 23 abr. 2024.
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Teixeira, J. P., Ponti, M. A., & Aluísio, S. M. (2022). TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, 56( 3), Se 2022. doi:10.1007/s10579-021-09570-4
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Artigo de periodico
Building referring expression corpora with and without feedback (2020)
Rocha, Danillo da Silva; Paraboni, Ivandre
Fonte: Language Resources and Evaluation. Unidade: EACH
Assuntos: LINGUAGEM NATURAL, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, Danillo da Silva e PARABONI, Ivandre. Building referring expression corpora with and without feedback. Language Resources and Evaluation, p. 01-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10579-020-09497-2. Acesso em: 23 abr. 2024.
APA
Rocha, D. da S., & Paraboni, I. (2020). Building referring expression corpora with and without feedback. Language Resources and Evaluation, 01-17. doi:10.1007/s10579-020-09497-2
NLM
Rocha D da S, Paraboni I. Building referring expression corpora with and without feedback [Internet]. Language Resources and Evaluation. 2020 ; 01-17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-020-09497-2
Vancouver
Rocha D da S, Paraboni I. Building referring expression corpora with and without feedback [Internet]. Language Resources and Evaluation. 2020 ; 01-17.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-020-09497-2
Artigo de periodico
Automatic detection and correction of discourse marker errors made by spanish native speakers in portuguese academic writing (2019)
Sepúlveda-Torres, Lianet ; Duran, Magali Sanches; Aluísio, Sandra Maria
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS, VOCABULÁRIOS TÉCNICO-CIENTÍFICOS POR COMPUTADOR, PROCESSAMENTO DE LINGUAGEM NATURAL, LÍNGUA ESPANHOLA, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SEPÚLVEDA-TORRES, Lianet e DURAN, Magali Sanches e ALUÍSIO, Sandra Maria. Automatic detection and correction of discourse marker errors made by spanish native speakers in portuguese academic writing. Language Resources and Evaluation, v. 53, n. 3, p. Se 2019, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10579-019-09467-3. Acesso em: 23 abr. 2024.
APA
Sepúlveda-Torres, L., Duran, M. S., & Aluísio, S. M. (2019). Automatic detection and correction of discourse marker errors made by spanish native speakers in portuguese academic writing. Language Resources and Evaluation, 53( 3), Se 2019. doi:10.1007/s10579-019-09467-3
NLM
Sepúlveda-Torres L, Duran MS, Aluísio SM. Automatic detection and correction of discourse marker errors made by spanish native speakers in portuguese academic writing [Internet]. Language Resources and Evaluation. 2019 ; 53( 3): Se 2019.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-019-09467-3
Vancouver
Sepúlveda-Torres L, Duran MS, Aluísio SM. Automatic detection and correction of discourse marker errors made by spanish native speakers in portuguese academic writing [Internet]. Language Resources and Evaluation. 2019 ; 53( 3): Se 2019.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-019-09467-3
Artigo de periodico
Stars2: a corpus of object descriptions in a visual domain (2017)
Paraboni, Ivandré; Galindo, Michelle Reis; Iacovelli, Douglas
Fonte: Language Resources and Evaluation. Unidade: EACH
Assunto: LINGUAGEM NATURAL
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ABNT
PARABONI, Ivandré e GALINDO, Michelle Reis e IACOVELLI, Douglas. Stars2: a corpus of object descriptions in a visual domain. Language Resources and Evaluation, v. 51, n. ju 2017, p. 439-462, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10579-016-9350-y. Acesso em: 23 abr. 2024.
APA
Paraboni, I., Galindo, M. R., & Iacovelli, D. (2017). Stars2: a corpus of object descriptions in a visual domain. Language Resources and Evaluation, 51( ju 2017), 439-462. doi:10.1007/s10579-016-9350-y
NLM
Paraboni I, Galindo MR, Iacovelli D. Stars2: a corpus of object descriptions in a visual domain [Internet]. Language Resources and Evaluation. 2017 ; 51( ju 2017): 439-462.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-016-9350-y
Vancouver
Paraboni I, Galindo MR, Iacovelli D. Stars2: a corpus of object descriptions in a visual domain [Internet]. Language Resources and Evaluation. 2017 ; 51( ju 2017): 439-462.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-016-9350-y
Artigo de periodico
Studies in automated hand gesture analysis: an overview of functional types and gesture phases (2016)
Madeo, Renata Cristina Barros; Lima, Clodoaldo Aparecido de Moraes; Peres, Sarajane Marques
Fonte: Language Resources and Evaluation. Unidade: EACH
Assuntos: RECONHECIMENTO DE PADRÕES, INTERFACE HOMEM-COMPUTADOR, GESTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MADEO, Renata Cristina Barros e LIMA, Clodoaldo Aparecido de Moraes e PERES, Sarajane Marques. Studies in automated hand gesture analysis: an overview of functional types and gesture phases. Language Resources and Evaluation, v. no 2016, p. on-line, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10579-016-9373-4. Acesso em: 23 abr. 2024.
APA
Madeo, R. C. B., Lima, C. A. de M., & Peres, S. M. (2016). Studies in automated hand gesture analysis: an overview of functional types and gesture phases. Language Resources and Evaluation, no 2016, on-line. doi:10.1007/s10579-016-9373-4
NLM
Madeo RCB, Lima CA de M, Peres SM. Studies in automated hand gesture analysis: an overview of functional types and gesture phases [Internet]. Language Resources and Evaluation. 2016 ; no 2016 on-line.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-016-9373-4
Vancouver
Madeo RCB, Lima CA de M, Peres SM. Studies in automated hand gesture analysis: an overview of functional types and gesture phases [Internet]. Language Resources and Evaluation. 2016 ; no 2016 on-line.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-016-9373-4
Artigo de periodico
Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation (2010)
Specia, Lucia; Stevenson, Mark; Nunes, Maria das Graças Volpe
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPECIA, Lucia e STEVENSON, Mark e NUNES, Maria das Graças Volpe. Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation. Language Resources and Evaluation, v. 44, n. 4, p. 295-313, 2010Tradução . . Disponível em: https://doi.org/10.107/s10579-09-9107-y. Acesso em: 23 abr. 2024.
APA
Specia, L., Stevenson, M., & Nunes, M. das G. V. (2010). Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation. Language Resources and Evaluation, 44( 4), 295-313. doi:10.107/s10579-09-9107-y
NLM
Specia L, Stevenson M, Nunes M das GV. Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation [Internet]. Language Resources and Evaluation. 2010 ; 44( 4): 295-313.[citado 2024 abr. 23 ] Available from: https://doi.org/10.107/s10579-09-9107-y
Vancouver
Specia L, Stevenson M, Nunes M das GV. Assessing the contribution of shallow and deep knowledge sources for word sense disambiguation [Internet]. Language Resources and Evaluation. 2010 ; 44( 4): 295-313.[citado 2024 abr. 23 ] Available from: https://doi.org/10.107/s10579-09-9107-y
Artigo de periodico
Alignment-based extraction of multiword expressions (2010)
Caseli, Helena Medeiros de; Ramisch, Carlos; Nunes, Maria das Graças Volpe; Villavicencio, Aline
Fonte: Language Resources and Evaluation. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASELI, Helena Medeiros de et al. Alignment-based extraction of multiword expressions. Language Resources and Evaluation, v. 44, n. 1-2, p. 59-77, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10579-009-9097-9. Acesso em: 23 abr. 2024.
APA
Caseli, H. M. de, Ramisch, C., Nunes, M. das G. V., & Villavicencio, A. (2010). Alignment-based extraction of multiword expressions. Language Resources and Evaluation, 44( 1-2), 59-77. doi:10.1007/s10579-009-9097-9
NLM
Caseli HM de, Ramisch C, Nunes M das GV, Villavicencio A. Alignment-based extraction of multiword expressions [Internet]. Language Resources and Evaluation. 2010 ; 44( 1-2): 59-77.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-009-9097-9
Vancouver
Caseli HM de, Ramisch C, Nunes M das GV, Villavicencio A. Alignment-based extraction of multiword expressions [Internet]. Language Resources and Evaluation. 2010 ; 44( 1-2): 59-77.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s10579-009-9097-9

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