Výsledky vyhledávání - "Syntax-based Translation Models"

investigação de problemas linguísticos em sumários automáticos multidocumento

Autoři: Márcio de Souza Dias Ariani Di Felippo Amanda Pontes Rassi a další

Zdroj: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 859-907 (2021)

Témata: Syntax-based Translation Models, Artificial intelligence, History, multi-document summary, Annotation, Corpus annotation, P1-1091, Automatic summarization, Epistemology, 02 engineering and technology, Linguistic problem, problema linguístico, Humanities, Sumário multidocumento, Artificial Intelligence, Source text, Sumarização automática, 0202 electrical engineering, electronic engineering, information engineering, Multi-document summary, Philology. Linguistics, Anotação de corpus, Natural Language Processing, Portuguese, Language and Literature, Natural language processing, Linguistics, FOS: Humanities, sumário multidocumento, Statistical Machine Translation and Natural Language Processing, anotação de corpus, corpus annotation, Computer science, sumarização automática, FOS: Philosophy, ethics and religion, Typology, Philosophy, Archaeology, linguistic problem, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Problema linguístico, FOS: Languages and literature, Quality (philosophy), automatic summarization

Popis souboru: application/pdf

Přístupová URL adresa: http://www.periodicos.letras.ufmg.br/index.php/relin/article/download/16831/pdf
https://doaj.org/article/d388050ff761404f8226797ea0921862
http://www.periodicos.letras.ufmg.br/index.php/relin/article/download/16831/pdf
http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/16831

Comparative Analysis of Deep Learning Models for Part of Speech Tagging in the Malay Language

Autoři: Bakare Mustaphaa Adebayo Kalaiarasi Sonai Muthu Anbananthen Saravanan Muthaiyah a další

Zdroj: HighTech and Innovation Journal, Vol 5, Iss 2, Pp 272-281 (2024)

Témata: Technological innovations. Automation, Syntax-based Translation Models, Artificial intelligence, Semantic Similarity, Artificial Intelligence, Part-of-Speech Tagging, 14. Life underwater, malay text, 10. No inequality, Natural Language Processing, Malay, Development and Application of Expert Systems, Topic Modeling, Natural language processing, HD45-45.2, 1. No poverty, part of speech tagging, deep learning, Linguistics, Statistical Machine Translation and Natural Language Processing, malay pos tagger, Computer science, Q300-390 Cybernetics, Language Modeling, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature

Popis souboru: text

Přístupová URL adresa: https://doaj.org/article/d3336f8b4f0044ecb631d7db6df88736

Arabic Ontology for Hadith texts - A survey

Autoři: Mariam Muhammed Shahira Shaaban Azab Najwa F.Ali a další

Zdroj: The Egyptian Journal of Language Engineering. 11:1-14

Témata: Syntax-based Translation Models, Arabic, Ontology, Natural language processing, 4. Education, Linguistics, Statistical Machine Translation and Natural Language Processing, Epistemology, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Inorganic Chemistry, Chemistry, Philosophy, Artificial Intelligence, Homogeneous Catalysis with Transition Metals, FOS: Chemical sciences, Part-of-Speech Tagging, Multi-label Text Classification in Machine Learning, Computer Science, Physical Sciences, FOS: Languages and literature, Information retrieval, Text Classification

An aligned corpus of Spanish bibles

Autoři: Gerardo Sierra Gemma Bel-Enguix Ameyali Díaz-Velasco a další

Zdroj: Language Resources and Evaluation. 59:339-369

Témata: Syntax-based Translation Models, History, Natural language processing, Linguistics, Statistical Machine Translation and Natural Language Processing, 06 humanities and the arts, 02 engineering and technology, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, 0602 languages and literature, FOS: Languages and literature, 0202 electrical engineering, electronic engineering, information engineering, Semantic Web and Ontology Development, Art, Natural Language Processing

Semiosic Translation: a Bayesian-heuristic theory of translation and translating

Autoři: Sergio Torres–Martínez

Zdroj: Language and Semiotic Studies, Vol 10, Iss 2, Pp 167-202 (2024)

Témata: Syntax-based Translation Models, Theoretical and Applied Studies in Terminology and Specialized Language, Neural Machine Translation, Translation, Artificial intelligence, bayesian semiosis, semiosic translation, Translation (biology), Social Sciences, P1-1091, Heuristic, Bayesian probability, Biochemistry, Gene, Translation Studies and Practices, Language and Linguistics, Machine Translation, Artificial Intelligence, 14. Life underwater, 10. No inequality, Philology. Linguistics, embodiment, Natural language processing, Messenger RNA, Sociology of Translation, Linguistics, Statistical Machine Translation and Natural Language Processing, heuristic semiosis, translator-agents, 16. Peace & justice, Computer science, Translation studies, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, Chemistry, semiotics, 13. Climate action, Computer Science, Physical Sciences, FOS: Languages and literature, Arts and Humanities

Přístupová URL adresa: https://doaj.org/article/ba6261177d67495a8b1c59925e12f292

Leveraging pre-trained language models for code generation

Autoři: Ahmed Soliman Samir I. Shaheen Mayada Hadhoud

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3955-3980 (2024)

Témata: FOS: Computer and information sciences, Syntax-based Translation Models, Code Clone Detection, Artificial intelligence, Language models, Set (abstract data type), Information technology, 02 engineering and technology, LukeMarian, Artificial Intelligence, RoBERTaMarian, Marian model, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, 10. No inequality, Natural Language Processing, Code assistant, Computational intelligence, Code (set theory), Source Code Analysis, Natural language processing, 4. Education, QA75.5-76.95, Statistical Machine Translation and Natural Language Processing, T58.5-58.64, Computer science, Language Modeling, Programming language, 3. Good health, 13. Climate action, Electronic computers. Computer science, Computer Science, Physical Sciences, Code generation, Empirical Studies in Software Engineering, Information Systems

Přístupová URL adresa: https://doaj.org/article/52353da9cb7f4f27bc3cea23e9a5fd3a

A new ontological approach for multilingual scientific research

Autoři: Mohammed Charaf Eddine Meftah Okba Kazar

Zdroj: Proceedings of the 7th International Conference on Future Networks and Distributed Systems. :114-124

Témata: Syntax-based Translation Models, Ontology, 9. Industry and infrastructure, Natural language processing, Statistical Machine Translation and Natural Language Processing, Knowledge Representation, 16. Peace & justice, Computer science, 7. Clean energy, Language Modeling, Data science, 3. Good health, Artificial Intelligence, Part-of-Speech Tagging, Computer Science, Physical Sciences, 14. Life underwater, Semantic Web and Ontology Development, Natural Language Processing

Nouvelle Méthode d’Extraction Automatique Bilingue des Syntagmes Terminologiques Nominaux à Base de leurs Noyaux et du Balisage Structurel XML du Corpus Aligné

Autoři: Maha Elbacha

Zdroj: The Egyptian Journal of Language Engineering. 10:51-68

Témata: Syntax-based Translation Models, Neural Machine Translation, Base (topology), FOS: Humanities, Statistical Machine Translation and Natural Language Processing, XML, Statistical Machine Translation, Computer science, Mathematical analysis, World Wide Web, Humanities, Computational Theory and Mathematics, Artificial Intelligence, Part-of-Speech Tagging, Computer Science, Physical Sciences, Mathematical Information Retrieval and Search, FOS: Mathematics, Semantic Web and Ontology Development, Art, Mathematics

Align-then-Enhance: Multilingual Entailment Graph Enhancement with Soft Predicate Alignment

Autoři: Yuting Wu Yutong Hu Yansong Feng a další

Zdroj: Findings of the Association for Computational Linguistics: ACL 2023

Témata: Syntax-based Translation Models, Textual entailment, Logical consequence, Predicate (mathematical logic), Artificial intelligence, Topic Modeling, Natural language processing, Knowledge Graph Embedding, Statistical Machine Translation and Natural Language Processing, Computer science, Graph, Programming language, Theoretical computer science, Artificial Intelligence, Computer Science, Physical Sciences, Graph Neural Network Models and Applications, Signal Processing on Graphs, Natural Language Processing

ON-TRAC Consortium Systems for the IWSLT 2023 Dialectal and Low-resource Speech Translation Tasks

Autoři: Antoine Laurent Souhir Gahbiche-Braham Ha Thanh Nguyen a další

Zdroj: Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

Témata: Syntax-based Translation Models, Artificial intelligence, Natural language processing, Messenger RNA, Translation (biology), Linguistics, Statistical Machine Translation and Natural Language Processing, Statistical Machine Translation, Computer science, Gene, Biochemistry, Speech translation, Programming language, FOS: Philosophy, ethics and religion, TRAC, Speech Recognition Technology, End-to-End Speech Recognition, Chemistry, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, FOS: Languages and literature, Machine translation

AlphaBrains at WojoodNER shared task: Arabic Named Entity Recognition by Using Character-based Context-Sensitive Word Representations

Autoři: Toqeer Ehsan Amjad Ali Ala Al‐Fuqaha

Zdroj: Proceedings of ArabicNLP 2023. :783-788

Témata: Syntax-based Translation Models, Artificial intelligence, Character (mathematics), Economics, Word (group theory), Geometry, Task (project management), Context (archaeology), Artificial Intelligence, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Multi-label Learning, Biology, Natural Language Processing, Arabic, Topic Modeling, Natural language processing, Paleontology, Linguistics, Statistical Machine Translation and Natural Language Processing, Named Entity Recognition, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Management, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Mathematics

Přístupová URL adresa: https://cris.vtt.fi/en/publications/ddb711e4-7cb2-49b9-9c61-8db64fce7ac8

Exploring Composite Indexes for Domain Adaptation in Neural Machine Translation

Autoři: Nhan Vo Minh Khue Nguyen Tran Minh Long Nguyen a další

Zdroj: Vietnam Journal of Computer Science, Vol 11, Iss 01, Pp 75-94 (2024)

Témata: Syntax-based Translation Models, Cancer Research, Neural Machine Translation, Artificial intelligence, index method, Translation (biology), Search engine indexing, Role of Long Noncoding RNAs in Cancer and Development, Information technology, Mathematical analysis, Biochemistry, Gene, Visual Question Answering in Images and Videos, Quantization (signal processing), Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, Machine learning, FOS: Mathematics, k-nearest-neighbor machine translation, Machine translation, Multilingual Neural Machine Translation, Data mining, Domain adaptation in neural machine translation, Domain (mathematical analysis), Messenger RNA, Life Sciences, QA75.5-76.95, Statistical Machine Translation and Natural Language Processing, T58.5-58.64, Statistical Machine Translation, Computer science, Algorithm, Chemistry, Electronic computers. Computer science, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, k-nearest neighbors algorithm, Mathematics

Přístupová URL adresa: https://doaj.org/article/31b9a746dfe045c9a1ddf6a8ce556961

Translation Evaluation of Three Machine Translation Systems, with Special References to Idiomatic Expressions

Autoři: Dr. Majid Mohammed Ali Mabkhut Musaad Dr. Adbulrahman Ali Al Towity

Zdroj: مجلة العلوم التربوية والدراسات الإنسانية سلسلة الآداب والعلوم التربوية والإنسانية والتطبيقية, Iss 29 (2023)

Témata: Syntax-based Translation Models, Neural Machine Translation, Artificial intelligence, Meaning (existential), Education, Sociology, Artificial Intelligence, Psychology, Machine translation, MT Evaluation, Three MT Systems, Idiomatic expressions, online newspapers, Multilingual Neural Machine Translation, Arabic, Natural language processing, 4. Education, Media studies, Linguistics, Statistical Machine Translation and Natural Language Processing, Statistical Machine Translation, Computer science, Newspaper, Language Modeling, FOS: Sociology, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Psychotherapist

Přístupová URL adresa: https://doaj.org/article/c88c7d20ac38485da101bd1f15ebb9f1

A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language

Autoři: Aniello Minutolo Raffaele Guarasci Emanuele Damiano a další

Zdroj: Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Neural computing & applications
(2022). doi:10.1007/s00521-022-07641-3
info:cnr-pdr/source/autori:Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito/titolo:A multi-level methodology for the automated translation of a coreference resolution dataset: an application to the Italian language/doi:10.1007%2Fs00521-022-07641-3/rivista:Neural computing & applications (Print)/anno:2022/pagina_da:/pagina_a:/intervallo_pagine:/volume

Témata: Syntax-based Translation Models, Artificial intelligence, Corpus creation, Biomedical Ontologies and Text Mining, 02 engineering and technology, 01 natural sciences, Machine Translation, Coreference, Coreference resolution, Artificial Intelligence, Biochemistry, Genetics and Molecular Biology, 0202 electrical engineering, electronic engineering, information engineering, Machine translation, Molecular Biology, 0105 earth and related environmental sciences, Natural Language Processing, Grammar, Automated translation, Natural language processing, Word Representation, Life Sciences, Grammaticality, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, Resolution (logic), Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Linguistic phenomena, Cross-language

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10481/77364

A Thematic-Role-Based Approach for Word Sense Disambiguation

Autoři: Lamiaa Frere

Zdroj: British Journal of Translation, Linguistics and Literature. 3:28-49

Témata: Syntax-based Translation Models, Cartography, Neural Machine Translation, Artificial intelligence, Theme (computing), Variety (cybernetics), Word (group theory), Semantic Processing, Context (archaeology), Sociology, Artificial Intelligence, Subject (documents), Qualitative research, 14. Life underwater, Biology, Natural Language Processing, 2. Zero hunger, Geography, Topic Modeling, Natural language processing, Physics, Word Representation, Paleontology, Linguistics, Optics, Statistical Machine Translation and Natural Language Processing, Focus (optics), Social science, Computer science, Thematic analysis, 6. Clean water, FOS: Sociology, FOS: Philosophy, ethics and religion, Programming language, Thematic structure, World Wide Web, Philosophy, Verb, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, FOS: Languages and literature, Thematic map, Object (grammar)

Balaur: Language Model Pretraining with Lexical Semantic Relations

Autoři: A. Mircéa Jackie Chi Kit Cheung

Zdroj: Findings of the Association for Computational Linguistics: EMNLP 2023. :10054-10070

Témata: Syntax-based Translation Models, Artificial intelligence, Meaning (existential), Generalization, Set (abstract data type), Mathematical analysis, Quantum mechanics, 7. Clean energy, Visual Question Answering in Images and Videos, Language Understanding, Inference, Artificial Intelligence, FOS: Mathematics, Psychology, 10. No inequality, Natural Language Processing, Transformer, Lexical item, Natural language processing, Physics, 4. Education, Word Representation, Voltage, Statistical Machine Translation and Natural Language Processing, 15. Life on land, Computer science, Language model, Lexical semantics, Language Modeling, Programming language, 3. Good health, Semantic Reasoning, FOS: Psychology, 13. Climate action, Computer Science, Physical Sciences, Psychotherapist, Computer Vision and Pattern Recognition, Mathematics

Evaluating Factuality in Cross-lingual Summarization

Autoři: Mingqi Gao Wenqing Wang Xiaojun Wan a další

Zdroj: Findings of the Association for Computational Linguistics: ACL 2023. :12415-12431

Témata: Syntax-based Translation Models, Artificial intelligence, Sentence, Natural language processing, Statistical Machine Translation and Natural Language Processing, Automatic summarization, Computer science, Programming language, Automatic Keyword Extraction from Textual Data, Artificial Intelligence, Computer Science, Physical Sciences, GRASP, Information retrieval, Multi-document summarization, Machine translation, Consistency (knowledge bases), Natural Language Processing

WeVoTe: A Weighted Voting Technique for Automatic Sentiment Annotation of Moroccan Dialect Comments

Autoři: Yassir Matrane Faouzia Benabbou Zouheir Banou

Zdroj: IEEE Access, Vol 12, Pp 16276-16298 (2024)

Témata: Syntax-based Translation Models, Artificial intelligence, Annotation, FOS: Political science, FOS: Law, Sentiment analysis, Artificial Intelligence, Aspect-based Sentiment Analysis, Sentiment Analysis, labeling technique, Political science, Natural Language Processing, Arabic dialect, Topic Modeling, Natural language processing, Politics, Statistical Machine Translation and Natural Language Processing, Computer science, automatic annotation, TK1-9971, machine learning, Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Voting, Law

Přístupová URL adresa: https://doaj.org/article/0a3564d870a841c499dac819f440c993

Plug-and-Play Knowledge Injection for Pre-trained Language Models

Autoři: Zhengyan Zhang Zhiyuan Zeng Yankai Lin a další

Zdroj: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10641-10658

Témata: Syntax-based Translation Models, FOS: Computer and information sciences, Artificial intelligence, History, China, Computer Science - Computation and Language, Volume (thermodynamics), Natural language processing, Physics, Pretrained Models, Computational linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Quantum mechanics, Language Modeling, Machine Translation, Archaeology, Artificial Intelligence, Part-of-Speech Tagging, Computer Science, Physical Sciences, Zhàng, Computation and Language (cs.CL), Natural Language Processing

Přístupová URL adresa: http://arxiv.org/abs/2305.17691

Thematic Roles-Based Translation in MT Systems

Autoři: Lamia Frere

Zdroj: 3rd International Conference on Language and Education. :49-55

Témata: Syntax-based Translation Models, Cartography, Neural Machine Translation, Predicate (mathematical logic), Artificial intelligence, Theme (computing), Meaning (existential), Translation (biology), Social Sciences, Biochemistry, Gene, 7. Clean energy, Translation Studies and Practices, Language and Linguistics, Machine Translation, Artificial Intelligence, Psychology, Machine translation, 10. No inequality, Multilingual Neural Machine Translation, Geography, Natural language processing, Physics, Messenger RNA, Linguistics, Optics, Statistical Machine Translation and Natural Language Processing, Focus (optics), Computer science, 6. Clean water, Language Modeling, Programming language, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, World Wide Web, Philosophy, Chemistry, Verb, Computer Science, Physical Sciences, FOS: Languages and literature, Psychotherapist, Thematic map, Object (grammar), Arts and Humanities