نتائج البحث - "under-resourced"

1

Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation

المؤلفون: Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez

المساهمون: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, Transducens

المصدر: Proceedings of the 28th International Conference on Computational Linguistics
COLING
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd363bc7cd1ac8cf5a36c34996a52e30
https://hdl.handle.net/10045/110739

2

Positive deviant unemployed individuals: Survivalist entrepreneurs in marginalised communities

المؤلفون: Hans De Witte, Anja Van den Broeck, Sebastiaan Rothmann, Melinda du Toit

المصدر: South African Journal of Business Management, Vol 51, Iss 1, Pp e1-e10 (2020)

مصطلحات موضوعية: unemployment, lcsh:Management. Industrial management, Strategy and Management, media_common.quotation_subject, 0211 other engineering and technologies, Exploratory research, Social Sciences, 02 engineering and technology, lcsh:Business, South Africa, Ingenuity, Originality, Business & Economics, 0502 economics and business, Narrative, Business, Sociology, south africa, Business and International Management, Positive deviance, media_common, Government, business.industry, 05 social sciences, 021107 urban & regional planning, Public relations, INFORMAL SECTOR, informal entrepreneurs, TOWNSHIPS, microbusiness entrepreneurs, SOUTH-AFRICA, under-resourced communities, Disadvantaged, Management, positive deviance, lcsh:HD28-70, Unemployment, lcsh:HF5001-6182, business, 050203 business & management

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd09f250003c22f28c37b73474517bf1
https://lirias.kuleuven.be/handle/123456789/666112

3

A Survey of Orthographic Information in Machine Translation

المؤلفون: Priya Rani, Mihael Arcan, Bharathi Raja Chakravarthi, John P. McCrae

المصدر: Sn Computer Science

مصطلحات موضوعية: FOS: Computer and information sciences, Statistical machine translation, General Computer Science, Machine translation, Computer Networks and Communications, Computer science, 02 engineering and technology, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, Survey Article, Rule-based machine translation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Cognate, Machine translation system, Orthography, Computer Science - Computation and Language, business.industry, Neural machine translation, Under-resourced languages, Orthographic projection, Computer Graphics and Computer-Aided Design, Computer Science Applications, Focus (linguistics), Variation (linguistics), Computational Theory and Mathematics, 030221 ophthalmology & optometry, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Computation and Language (cs.CL), Natural language processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::550eabb399181c3b5dc364bbb73b817d
http://arxiv.org/abs/2008.01391

4

Author identification for under-resourced language Kadazandusun

المؤلفون: Suhaila Saee, Dayang Hanani Abang Ibrahim, Nursyahirah Tarmizi

مصطلحات موضوعية: Control and Optimization, Computer Networks and Communications, Computer science, Stylometry, 02 engineering and technology, computer.software_genre, Task (project management), Writing style, Naive Bayes classifier, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, business.industry, Character (computing), 020206 networking & telecommunications, Author identification, Kadazan dusun, Under-resourced language, Support vector machine, Identification (information), ComputingMethodologies_PATTERNRECOGNITION, Hardware and Architecture, Signal Processing, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Natural language processing, Word (computer architecture), Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::643aa04edf5516e570ad55ad54483b17
https://zenodo.org/record/5234791

5

A Sustainable and Open Access Knowledge Organization Model to Preserve Cultural Heritage and Language Diversity

المؤلفون: Zheng Zhang, Amel Fraisse, Alex Zhai, Widad Mustafa El Hadi, Laurence Favier, Shelley Fisher Fishkin, Ronald Jenn, Pierre Zweigenbaum

المساهمون: Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 (GERIICO ), Université de Lille, Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris-Sud - Paris 11 (UP11)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Saclay (COmUE), Centre d'Études en Civilisations, Langues et Lettres Étrangères - ULR 4074 (CECILLE), Stanford University, Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)

المصدر: Information
Volume 10
Issue 10
Information, 2019, 10 (10), pp.303. ⟨10.3390/info10100303⟩
Information, Vol 10, Iss 10, p 303 (2019)
Information, MDPI, 2019, 10 (10), pp.303. ⟨10.3390/info10100303⟩

مصطلحات موضوعية: Knowledge organization, Ukrainian, media_common.quotation_subject, [SHS.INFO]Humanities and Social Sciences/Library and information sciences, knowledge organization systems, 02 engineering and technology, under-resourced languages, German, Political science, 0202 electrical engineering, electronic engineering, information engineering, Bulgarian, media_common, information flow, lcsh:T58.5-58.64, lcsh:Information technology, knowledge diversity, library and information science, parallel corpora, 020206 networking & telecommunications, translated texts, Adventure, language.human_language, Linguistics, Cultural heritage, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], language, 020201 artificial intelligence & image processing, Portuguese, Information Systems, Diversity (politics)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af1c67f82767d08833942422244b4bb9

Find this article in full text from ProQuest

6

Automatic speech recognition system for Tunisian dialect

المؤلفون: Abir Masmoudi, Lamia Hadrich Belguith, Fethi Bougares, Mariem Ellouze, Yannick Estève

المساهمون: Multimedia, InfoRmation systems and Advanced Computing Laboratory (MIRACL), Faculté des Sciences Economiques et de Gestion de Sfax (FSEG Sfax), Université de Sfax - University of Sfax-Université de Sfax - University of Sfax, Laboratoire d'Informatique de l'Université du Mans (LIUM), Le Mans Université (UM)

المصدر: BASE-Bielefeld Academic Search Engine
Language Resources and Evaluation
Language Resources and Evaluation, Springer Verlag, 2018, 52 (1), pp.249-267. ⟨10.1007/s10579-017-9402-y⟩

مصطلحات موضوعية: Linguistics and Language, Arabic, Computer science, Speech recognition, Tunisian dialect, Word error rate, 02 engineering and technology, Library and Information Sciences, computer.software_genre, 01 natural sciences, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Language and Linguistics, Education, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 010301 acoustics, business.industry, Automatic speech recognition, Under-resourced language, Rule-based Grapheme-to-phoneme conversion, language.human_language, Linguistics, Focus (linguistics), language, Modern Standard Arabic, 020201 artificial intelligence & image processing, Artificial intelligence, Computational linguistics, business, computer, Natural language processing