PDF] Integrating corpus-based and rule-based approaches in an open-source machine translation system
Por um escritor misterioso
Last updated 27 maio 2024
The development of the Apertium MT engine was initially funded by the Spanish Ministry of Industry, Tourism and Commerce through grants FIT-340101-2004-3 and F IT-340001-2005-2, and the enhancement of Apertum is being funded byThe Generalitat de Catalunya. Work funded by the Spanish Ministry of Science and Technology through project TIC2003-08681-C02-01 and by the Spanish Ministry of Education and Science and the European Social Fund through grant BES-2004-4711. The development of the Apertium MT engine was initially funded by the Spanish Ministry of Industry, Tourism and Commerce through grants FIT-340101-2004-3 and FIT-340001-2005-2. The enhancement of Apertium is being funded by the Generalitat de Catalunya.
Artificial intelligence and digital health in global eye health: opportunities and challenges - The Lancet Global Health
Retrosynthetic Reaction Prediction Using Neural Sequence-to-Sequence Models
Pashto offensive language detection: a benchmark dataset and monolingual Pashto BERT [PeerJ]
Google Translate - Wikipedia
NLP-based platform as a service: a brief review, Journal of Big Data
Machine Learning, Multi Agent and Cyber Physical Systems World Scientific Proceedings Series on Computer Engineering and Information Science
PPT - Statistical Machine Translation PowerPoint Presentation, free download - ID:4568930
LD&C Volume contents
Performance and perception: machine translation post-editing in Chinese-English news translation by novice translators
Frontiers Contextualizing assessment feedback in translation education: A corpus-assisted ecological approach
Full article: Machine Translation Vs. Multilingual Dictionaries Assessing Two Strategies for the Topic Modeling of Multilingual Text Collections
Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages
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