Výsledky vyhledávání - "neural network language models"

A survey of models for automatic assessment of similarity of student's answer to the reference answer

Autoři: Nadezhda S. Lagutina Ksenia V. Lagutina

Zdroj: Моделирование и анализ информационных систем, Vol 32, Iss 1, Pp 42-65 (2025)

Témata: text classification, assessing students' answers, artificial intelligence in education, neural network language models, Information technology, natural language processing, T58.5-58.64, text similarity

Přístupová URL adresa: https://doaj.org/article/3969c0f531dc47fca95c1206e66831bb

Automatic determination of semantic similarity of student answers with the standard one using modern models

Autoři: Nadezhda S. Lagutina Ksenia V. Lagutina Vladislav N. Kopnin

Zdroj: Моделирование и анализ информационных систем, Vol 31, Iss 2, Pp 194-205 (2024)

Témata: text classification, artificial intelligence in education, 0202 electrical engineering, electronic engineering, information engineering, neural network language models, Information technology, 02 engineering and technology, natural language processing, T58.5-58.64, assessing students' open responses, text similarity

Přístupová URL adresa: https://doaj.org/article/c1d18189bed04e959093edf5fdaede3d

An intelligent method for generating a list of job profile requirements based on neural network language models using ESCO taxonomy and online job corpus ; Интеллектуальный метод формирования списка требований профиля должности на основе нейросетевых моделей языка с использованием таксономии ESCO и корпуса онлайн-вакансий

Autoři: Николаев, Иван Е.

Zdroj: Business Informatics; Vol 17 No 2 (2023); 71-84 ; Бизнес-информатика; Том 17 № 2 (2023); 71-84 ; 2587-8158 ; 2587-814X ; 10.17323/2587-814X.2023.2

Témata: natural language processing, labor market analysis, labor market requirements, human resources, job profile, data mining, neural network language models, обработка естественного языка, интеллектуальный анализ данных, анализ рынка труда, требования рынка труда, профиль должности, нейросетевые модели языка

Popis souboru: application/pdf

Relation: https://bijournal.hse.ru/article/view/25928/21422; https://bijournal.hse.ru/article/view/25928/21423; https://bijournal.hse.ru/article/view/25928

Dostupnost: https://bijournal.hse.ru/article/view/25928
https://doi.org/10.17323/2587-814X.2023.2.71.84

Aportaciones al modelado conexionista de lenguaje y su aplicación al reconocimiento de secuencias y traducción automática

Autoři: ZAMORA MARTÍNEZ, FRANCISCO JULIÁN

Přispěvatelé: University/Department: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació

Thesis Advisors: Castro Bleda, María José

Zdroj: Riunet

Témata: Artificial neural networks, Language modeling, Decoding, Neural network language models, Handwritten text recognition, Spoken language understanding, Automatic speech recognition, Statistical machine translation, LENGUAJES Y SISTEMAS INFORMATICOS

Přístupová URL adresa: http://hdl.handle.net/10251/18066

Aportaciones al modelado conexionista de lenguaje y su aplicación al reconocimiento de secuencias y traducción automática

Přispěvatelé: University/Department: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació

Thesis Advisors: Castro Bleda, María José

Zdroj: Riunet

Témata: Artificial neural networks, Language modeling, Decoding, Neural network language models, Handwritten text recognition, Spoken language understanding, Automatic speech recognition, Statistical machine translation, LENGUAJES Y SISTEMAS INFORMATICOS

Přístupová URL adresa: http://hdl.handle.net/10251/18066

Cross-Domain Authorship Attribution Using Pre-trained Language Models

Autoři: Barlas, Georgios Stamatatos, Efstathios University of the Aegean a další

Přispěvatelé: Barlas, Georgios Stamatatos, Efstathios University of the Aegean a další

Zdroj: Artificial Intelligence Applications and Innovations ; 16th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://inria.hal.science/hal-04050592 ; 16th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2020, Neos Marmaras, Greece. pp.255-266, ⟨10.1007/978-3-030-49161-1_22⟩

Témata: Authorship Attribution, Neural network language models, Pre-trained language models, [INFO]Computer Science [cs]

Geografické téma: Neos Marmaras, Greece

Dostupnost: https://inria.hal.science/hal-04050592
https://inria.hal.science/hal-04050592v1/document
https://inria.hal.science/hal-04050592v1/file/497040_1_En_22_Chapter.pdf
https://doi.org/10.1007/978-3-030-49161-1_22

Advances in subword-based HMM-DNN speech recognition across languages

Autoři: Smit, Peter Virpioja, Sami Kurimo, Mikko a další

Přispěvatelé: Smit, Peter Virpioja, Sami Kurimo, Mikko a další

Témata: Large vocabulary speech recognition, Subword units, Character units, Recurrent neural network language models, NEURAL-NETWORKS, MODELS, DROPOUT, Languages

Popis souboru: application/pdf

Relation: European Commission; 771113; This work was supported by Svenska folkskolans vänner r.f. via the DigiTala project, Business Finland's Challenge Finland project TELLme, Kone foundation, EU's Horizon 2020 research and innovation programme via the project MeMAD (GA 780069) and the project FoTran (GA 771113). Computational resources were provided by the Aalto Science-IT project and the CSC – IT Center for Science, Finland.; RIS: urn:CE9ADEDC5E9581BF5F04BA915AF9C345; http://hdl.handle.net/10138/331507; 000596372000009

Dostupnost: http://hdl.handle.net/10138/331507

Automatic diagnosis of Alzheimer's disease using neural network language models

Autoři: Julian Fritsch orcid:0000-0003-4290- Sebastian Wankerl a další

Témata: Alzheimer's disease, automatic diagnosis, language models, neural network language models, Long-Short Term Memory

Relation: https://zenodo.org/communities/eu/; https://zenodo.org/records/4055863; oai:zenodo.org:4055863; https://doi.org/10.1109/ICASSP.2019.8682690

Dostupnost: https://doi.org/10.1109/ICASSP.2019.8682690
https://zenodo.org/records/4055863

Derin Öğrenme Mimarilerinde Akustik ve Fonotaktik Öznitelikleri Kullanan Türkçe Ağız Tanıma

Autoři: IŞIK, Gültekin ARTUNER, Harun

Zdroj: Volume: 13, Issue: 3 207-216
Bilişim Teknolojileri Dergisi
Journal of Information Technologies

Témata: Computer Software, Engineering, Türkçe ağız tanıma, evrişimli sinir ağları, akustik ve fonotaktik, log mel-spektrogram, yinelemeli sinir ağları dil modelleri, Turkish dialect recognition, convolutional neural networks, acoustics and phonotactics, log mel-spectrogram, recurrent neural network language models, Mühendislik, Bilgisayar Yazılımı

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/gazibtd/issue/56268/668023

Advances in subword-based HMM-DNN speech recognition across languages

Autoři: Kurimo Mikko Smit Peter Virpioja Sami a další

Přispěvatelé: Kurimo Mikko Smit Peter Virpioja Sami a další

Zdroj: Computer Speech & Language

Témata: DROPOUT, ta113, Recurrent neural network language models, MODELS, Languages, NEURAL-NETWORKS, Subword units, Character units, Large vocabulary speech recognition

Popis souboru: application/pdf

Přístupová URL adresa: http://juuli.fi/Record/0376561221
https://doi.org/10.1016/j.csl.2020.101158
https://research.aalto.fi/en/publications/advances-in-subword-based-hmm-dnn-speech-recognition-across-langu
https://doi.org/10.1016/j.csl.2020.101158
https://www.sciencedirect.com/science/article/abs/pii/S0885230820300917
https://www.sciencedirect.com/science/article/pii/S0885230820300917
https://dblp.uni-trier.de/db/journals/csl/csl66.html#SmitVK21
https://researchportal.helsinki.fi/en/publications/advances-in-subword-based-hmm-dnn-speech-recognition-across-langu
http://hdl.handle.net/10138/331507
https://aaltodoc.aalto.fi/handle/123456789/47346

Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition

Autoři: Akinori ITO Ryo MASUMURA Sumitaka SAKAUCHI a další

Zdroj: IEICE Transactions on Information and Systems. 2019, E102.D(12):2557

Traducción automática basada en n-gramas conexionistas ; Machine translation based on neural network language models

Autoři: Zamora Martínez, Francisco Castro Bleda, María José

Témata: Traducción automática, Modelado de lenguaje conexionista, Traducción basada en n-gramas, Machine translation, Neural network language models, N-gram based machine translation, Lenguajes y Sistemas Informáticos

Relation: http://hdl.handle.net/10045/14692

Dostupnost: http://hdl.handle.net/10045/14692

Traducción automática basada en n-gramas conexionistas

Autoři: Zamora Martínez, Francisco Castro Bleda, María José

Zdroj: RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

Témata: Neural network language models, Modelado de lenguaje conexionista, Lenguajes y Sistemas Informáticos, Traducción automática, N-gram based machine translation, Machine translation, Traducción basada en n-gramas

Přístupová URL adresa: http://hdl.handle.net/10045/14692
https://hdl.handle.net/10045/14692

Investigation of Back-off Based Interpolation Between Recurrent Neural Network and N-gram Language Models (Author's Manuscript)

Autoři: Chen, X Liu,X Gales,M J F a další

Přispěvatelé: Chen, X Liu,X Gales,M J F a další

Témata: Voice Communications, Statistics and Probability, automated speech recognition, artificial neural networks, artificial intelligence software, machine translation, digital data, probability distributions, algorithms, probability, natural languages, vocabulary, clustering, interpolation, IARPA Collection, context, history, rnnlms(Recurrent neural network language models), robustness, context modeling, recurrent neural network, speech recognition, perplexity, language model interpolation, stat, lang

Relation: http://www.dtic.mil/docs/citations/AD1038537

Dostupnost: http://www.dtic.mil/docs/citations/AD1038537

Aportaciones al modelado conexionista de lenguaje y su aplicación al reconocimiento de secuencias y traducción automática

Autoři: Zamora Martínez, Francisco Julián

Thesis Advisors: Castro Bleda, María José, Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació

Zdroj: Riunet.

Témata: Artificial neural networks, Language modeling, Decoding, Neural network language models, Handwritten text recognition, Spoken language understanding, Automatic speech recognition, Statistical machine translation, LENGUAJES Y SISTEMAS INFORMATICOS

Dostupnost: http://hdl.handle.net/10251/18066

Language modeling using semantic web & neural networks

Autoři: Bhardwaj, Pallavi

Témata: language models, neural network language models, word error rate, speech recognition, lang, psy

Time: 005, 006, 629

Relation: https://publica.fraunhofer.de/handle/publica/281486

Dostupnost: https://publica.fraunhofer.de/handle/publica/281486

Examining Homophily, Language Coordination, and Analytical Thinking in Web-Based Conversations About Vaccines on Reddit: Study Using Deep Neural Network Language Models and Computer-Assisted Conversational Analyses.

Autoři: Li Y Gee W Jin K a další

Zdroj: Journal of medical Internet research [J Med Internet Res] 2023 Mar 23; Vol. 25, pp. e41882. Date of Electronic Publication: 2023 Mar 23.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 100959882 Publication Model: Electronic Cited Medium: Internet ISSN: 1438-8871 (Electronic) Linking ISSN: 14388871 NLM ISO Abbreviation: J Med Internet Res Subsets: MEDLINE

Výrazy ze slovníku MeSH: Vaccines* , Social Media*, Humans ; Language ; Neural Networks, Computer ; Computers