Pick the Better and Leave the Rest: Leveraging Multiple Retrieved Results to Guide Response Generation

Authors: Bowen Wu, Youping Deng, D. Su, Jianhuan Xiang, Yang Liu, Zongsheng Wang, Ying Li, Junhong Huang, Baoxun Wang

Source: IEEE Transactions on Audio, Speech and Language Processing. 33:1801-1812

Subject Terms: Neural Machine Translation, Artificial intelligence, FOS: Political science, Linguistics, FOS: Law, Statistical Machine Translation and Natural Language Processing, Reinforcement Learning, Computer science, Leverage (statistics), FOS: Philosophy, ethics and religion, Philosophy, Natural Language Generation, Artificial Intelligence, Computer Science, Physical Sciences, Dialogue Act Modeling for Spoken Language Systems, Information Retrieval, Machine learning, Conversation, FOS: Languages and literature, Relevance (law), Political science, Law, Natural Language Processing, Spoken Dialogue Systems

Sujeito oculto às claras: uma abordagem descritivo-computacional

Authors: Cláudia Freitas, Elvis de Souza

Source: Revista de Estudos da Linguagem, Vol 29, Iss 2, Pp 1033-1058 (2021)

Subject Terms: Artificial intelligence, Learner Corpora, linguistic description, Social Sciences, P1-1091, Language and Linguistics, computational linguistics, Vocabulary Acquisition in Second Language Learning, Artificial Intelligence, Subject (documents), Developmental and Educational Psychology, Psychology, descrição linguística, 0501 psychology and cognitive sciences, Philology. Linguistics, linguística de corpus, Language and Literature, Natural language processing, 4. Education, 05 social sciences, omitted subject, Linguistics, Statistical Machine Translation and Natural Language Processing, 06 humanities and the arts, Computer science, Lexicography and Dictionary Development, Language Modeling, FOS: Philosophy, ethics and religion, FOS: Psychology, World Wide Web, Philosophy, linguística computacional, aprendizado de máquina, Incidental Learning, omissão de sujeito, sujeito oculto, Computer Science, Physical Sciences, 0602 languages and literature, FOS: Languages and literature, Arts and Humanities, syntactic dependencies, machi, dependências sintáticas

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http://www.periodicos.letras.ufmg.br/index.php/relin/article/download/17439/pdf
http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/17439

investigação de problemas linguísticos em sumários automáticos multidocumento

Authors: Márcio de Souza Dias, Ariani Di Felippo, Amanda Pontes Rassi, Paula Christina Figueira Cardoso, Fernando Antônio Asevêdo Nóbrega, Thiago Alexandre Salgueiro Pardo

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

Subject Terms: 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

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http://www.periodicos.letras.ufmg.br/index.php/relin/article/view/16831

teste de verificação lexical de português brasileiro (TVLPB) como língua adicional: criação e validação

Authors: Thaís Maíra Machado de Sá, Alexandre Alves dos Santos, Ricardo Augusto de Souza, Luiz Amaral, Victor N. Almeida

Source: Caligrama: Revista de Estudos Românicos. 26:125-153

Subject Terms: Portuguese, FOS: Humanities, Linguistics, Statistical Machine Translation and Natural Language Processing, Brazilian Portuguese, 06 humanities and the arts, FOS: Philosophy, ethics and religion, FOS: Psychology, Humanities, Philosophy, Artificial Intelligence, Computer Science, Physical Sciences, 0602 languages and literature, FOS: Languages and literature, Psychology, Automatic Text Simplification and Readability Assessment, Art, Natural Language Processing

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http://www.periodicos.letras.ufmg.br/index.php/caligrama/article/view/18317

La polivalencia de provided that y sus implicancias en la traducción especializada

Authors: Marina Scalerandi, José María Boquera Oliver, Isolda Rodríguez Villegas, Gladys Berisso

Source: Estudios de Traducción, Vol 14 (2024)

Subject Terms: PROVISO, Theoretical and Applied Studies in Terminology and Specialized Language, FOS: Political science, Social Sciences, TRADUCCION, Language and Linguistics, Translation Studies and Practices, Humanities, P306-310, Artificial Intelligence, 0501 psychology and cognitive sciences, Political science, MARCADORES, Translating and interpreting, 05 social sciences, FOS: Humanities, 06 humanities and the arts, Statistical Machine Translation and Natural Language Processing, Specialized Language, PROVIDED THAT, provided that, valor condicional-no condicional, proviso, 0602 languages and literature, Computer Science, Physical Sciences, Arts and Humanities, marcadores, Art, traducción

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http://hdl.handle.net/11336/263575

What Types of Vocabulary Do Students Learn? A Computer-assisted Study of EFL Textbooks

Authors: Nasreen Bibi, Shaukat Hayat, Abdul Aleem Yahya

Source: AsiaCALL Online Journal. 15:117-128

Subject Terms: Artificial intelligence, Social Sciences, Vocabulary, Lexical density, Reading (process), Vocabulary Acquisition in Second Language Learning, Artificial Intelligence, Vocabulary Acquisition, Developmental and Educational Psychology, Active listening, Psychology, 0501 psychology and cognitive sciences, Syntax, 10. No inequality, Grammar, Lexical item, Natural language processing, Pedagogy, Communication, 4. Education, 05 social sciences, Language Teaching, Lexical Diversity, Linguistics, Statistical Machine Translation and Natural Language Processing, 06 humanities and the arts, Foreign language, Computer science, Mathematics education, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Second Language Learning, Computer Science, Physical Sciences, 0602 languages and literature, Readability Assessment, FOS: Languages and literature, Curriculum, Automatic Text Simplification and Readability Assessment

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

Authors: Bakare Mustaphaa Adebayo, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Saravanan Nathan Lurudusamy

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

Subject Terms: 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

File Description: text

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An experiment of Moroccan dialect speech recognition in noisy environments using PocketSphinx

Authors: Abdelkbir Ouisaadane, Saïd Safi, Miloud Frikel

Contributors: Université Sultan Moulay Slimane (USMS ), Laboratoire d'Ingénierie des Systèmes (LIS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)

Source: International Journal of Speech Technology. 27:329-339

Subject Terms: Cartography, Artificial intelligence, History, Scale (ratio), Feature (linguistics), Automatic Speech Recognition, Noise (video), Speech recognition, Background noise, Speech Enhancement, Pattern recognition (psychology), [SPI]Engineering Sciences [physics], Artificial Intelligence, Natural (archaeology), Image (mathematics), Speech Enhancement Techniques, Audio-Visual Speech Recognition, Hidden Markov model, Geography, Natural language processing, Acoustic Modeling, Linguistics, Statistical Machine Translation and Natural Language Processing, Speaker Verification, Computer science, FOS: Philosophy, ethics and religion, Speech Recognition Technology, Philosophy, Archaeology, Computer Science, Physical Sciences, Signal Processing, FOS: Languages and literature, Telecommunications, Mel-frequency cepstrum, Feature extraction

Convolutional Neural Networks to Facilitate the Continuous Recognition of Arabic Speech with Independent Speakers

Authors: Sally A. Sayed, Rania Ahmed Abdel Azeem Abul Seoud, H. Nady

Source: Journal of Electrical and Computer Engineering, Vol 2024 (2024)

Subject Terms: Computer engineering. Computer hardware, Artificial intelligence, Convolutional neural network, Automatic Speech Recognition, 02 engineering and technology, Speech recognition, 01 natural sciences, 7. Clean energy, TK7885-7895, End-to-End Speech Recognition, Artificial Intelligence, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Speech Enhancement Techniques, Audio-Visual Speech Recognition, 10. No inequality, Arabic, Natural language processing, 4. Education, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Language Modeling, FOS: Philosophy, ethics and religion, 3. Good health, Speech Recognition Technology, Philosophy, Computer Science, Physical Sciences, Signal Processing, FOS: Languages and literature, Statistical Language Modeling

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Metinlerarasılık, Folklor ve Bellek İlişkisi

Authors: Reyhan Gökben SALUK>

Source: Issue: 15443-462
Korkut Ata Türkiyat Araştırmaları Dergisi

Subject Terms: Trends in 21st Century Education Research, Physics, Postmodernism, intertextuality, culture, folklore, memory, Turkish Folklore (Other), Social Sciences, Language Teaching, FOS: Humanities, Statistical Machine Translation and Natural Language Processing, Education, FOS: Philosophy, ethics and religion, Human-Computer Interaction, Humanities, Philosophy, Postmodernizm, metinlerarasılık, kültür, folklor, bellek, Artificial Intelligence, Computer Science, Physical Sciences, Theology, Impact of Emoticons on Computer-Mediated Communication, Türk Halk Bilimi (Diğer)

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Pre-Training Clustering Models to Summarize Vietnamese Texts

Authors: Ti-Hon Nguyen, Thanh-Nghi Do

Source: Vietnam Journal of Computer Science, Vol 12, Iss 01, Pp 83-100 (2025)

Subject Terms: Artificial intelligence, Social Sciences, Vietnamese, Information technology, 02 engineering and technology, 01 natural sciences, Cluster analysis, Meteorology, Artificial Intelligence, Training (meteorology), FastText, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, word representation, 0101 mathematics, Extractive text summarization, Natural Language Processing, Bag-of-Words, Computational intelligence, Natural language processing, Physics, General Social Sciences, Linguistics, QA75.5-76.95, Statistical Machine Translation and Natural Language Processing, cluster-based, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Electronic computers. Computer science, Computational Text Analysis in Social Sciences, Computer Science, Physical Sciences, FOS: Languages and literature, BERT

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GPT for medical entity recognition in Spanish

Authors: García Barragán, Álvaro, González Calatayud, Alberto, Solarte Pabón, Oswaldo, Provencio Pulla, Mariano, Menasalvas Ruiz, Ernestina, Robles Forcada, Víctor

Source: Multimedia Tools and Applications, ISSN 1380-7501, 2024
Archivo Digital UPM
Universidad Politécnica de Madrid

Subject Terms: LLM, 0301 basic medicine, Artificial intelligence, EHR, Medicina, GPT, Patient Similarity, Pattern recognition (psychology), 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, Breast Cancer, 10. No inequality, Natural Language Processing, Informática, Natural language processing, Deep Learning Applications in Healthcare, Medical Concept Embedding, Statistical Machine Translation and Natural Language Processing, Named Entity Recognition, Computer science, 3. Good health, NER, Computer Science, Physical Sciences, Information Extraction, BERT

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Arabic Ontology for Hadith texts - A survey

Authors: Mariam Muhammed, Shahira Shaaban Azab, Najwa F.Ali, Mervat Gheith

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

Subject Terms: 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

Performance evaluation of Latent Dirichlet Allocation on legal documents

Authors: A. O. Ogundare, Ahmed I. Saleh, Olive James, E. E. Ajayi, S. Gostoji

Source: Applied and Computational Engineering. 52:96-101

Subject Terms: Topic model, Artificial Intelligence, Computer Science, Physical Sciences, Latent Dirichlet allocation, Information retrieval, Statistical Machine Translation and Natural Language Processing, 16. Peace & justice, Computer science, Natural Language Processing

An aligned corpus of Spanish bibles

Authors: Gerardo Sierra, Gemma Bel-Enguix, Ameyali Díaz-Velasco, Natalia Guerrero-Cerón, Núria Bel

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

Subject Terms: 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

TTC-QuAli: A Text-Table-Chart Dataset for Multimodal Quantity Alignment

Authors: Haoyu Dong, Haochen Wang, Anda Zhou, Yue Hu

Source: Proceedings of the 17th ACM International Conference on Web Search and Data Mining. :181-189

Subject Terms: Artificial intelligence, Table (database), Natural language processing, Statistics, Statistical Machine Translation and Natural Language Processing, Computer science, Automatic Keyword Extraction from Textual Data, Database, Artificial Intelligence, 13. Climate action, Computer Science, Physical Sciences, FOS: Mathematics, Information retrieval, Chart, 14. Life underwater, Textual Data, Mathematics, Natural Language Processing

X-Bartheory: Its Pros/Strengths and Cons/Weaknesses in Generative Grammar

Authors: Obins Nuhu Isaac, Mary Daniel Nimram, Blessing Saina'an Lagan, Daniel Nanlir Nimram, Umeh Ann Ifeoma, Nuhu Joseph Azi

Source: European Journal of Theoretical and Applied Sciences. 2:369-381

Subject Terms: Artificial intelligence, Generative grammar, Social Sciences, Interactional Linguistic Analysis and Discourse Study, Social psychology, Language and Linguistics, Artificial Intelligence, Strengths and weaknesses, Psychology, 10. No inequality, Grammar, 9. Industry and infrastructure, Natural language processing, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, Programming language, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Theoretical Foundations of Linguistic Studies, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Arts and Humanities, cons

Challenges and computer-aided reading strategies in vocabulary enhancement

Authors: Mariel De Los Reyes, Cristy Manalo, Shariff Omar

Source: Journal of Education and Academic Settings. 1:1-11

Subject Terms: Learner Corpora, Social Sciences, 02 engineering and technology, Vocabulary, Reading (process), Vocabulary Acquisition in Second Language Learning, Artificial Intelligence, Vocabulary Acquisition, Developmental and Educational Psychology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 10. No inequality, Natural language processing, 4. Education, 05 social sciences, Language Teaching, Linguistics, Statistical Machine Translation and Natural Language Processing, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Automatic Text Simplification and Readability Assessment, 0503 education

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

Authors: Sergio Torres–Martínez

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

Subject Terms: 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

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Leveraging pre-trained language models for code generation

Authors: Ahmed Soliman, Samir I. Shaheen, Mayada Hadhoud

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

Subject Terms: 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

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