AIMC Topic: Translating

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Deep learning and process understanding for data-driven Earth system science.

Nature Feb 13, 2019
Machine learning approaches are increasingly used to extract patterns and insights from the ever-increasing stream of geospatial data, but current approaches may not be optimal when system behaviour is dominated by spatial or temporal context. Here, ...
Time Factors Weather Humans Seasons Female Pattern Recognition, Automated Reproducibility of Results Spatio-Temporal Analysis Uncertainty Forecasting Deep Learning Computer Simulation Big Data Facial Recognition Earth Sciences Regression, Psychology Geographic Mapping Knowledge Translating
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A Neural Machine Translation Model for Arabic Dialects That Utilises Multitask Learning (MTL).

Computational intelligence and neuroscience Dec 10, 2018
In this research article, we study the problem of employing a neural machine translation model to translate Arabic dialects to modern standard Arabic. The proposed solution of the neural machine translation model is prompted by the recurrent neural n...
Language Learning Translations Translating Neural Networks, Computer Machine Learning Algorithms
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Dangers of Machine Translation: The Need for Professionally Translated Anticipatory Guidance Resources for Limited English Proficiency Caregivers.

Clinical pediatrics Nov 5, 2018
Communication Barriers Health Resources Humans Literacy Artificial Intelligence Caregivers Translating Language
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Is Machine Translation a Reliable Tool for Reading German Scientific Databases and Research Articles?

Journal of chemical information and modeling Oct 25, 2018
A significant number of published databases and research papers exist in foreign languages and remain untranslated to date. Important sources of primary scientific information in German are Beilstein Handbuch der Organischen Chemie, Gmelin Handbuch d...
Reading Translating Physics Chemistry Language Publishing Thermodynamics Artificial Intelligence Databases, Factual Research Humans
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The Moral Machine experiment.

Nature Oct 24, 2018
With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To a...
Internet Pedestrians Accidents, Traffic Male Decision Making Robotics Public Opinion Harm Reduction Translating Motor Vehicles Data Collection Internationality Morals Artificial Intelligence Female Humans
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Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System.

International journal of neural systems Feb 22, 2018
Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully integrates NNLMs in the decoding ...
Humans Neural Networks, Computer Models, Statistical Translating Natural Language Processing Vocabulary
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A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation.

Computational intelligence and neuroscience Jun 29, 2016
Chinese and Vietnamese have the same isolated language; that is, the words are not delimited by spaces. In machine translation, word segmentation is often done first when translating from Chinese or Vietnamese into different languages (typically Engl...
Humans Language Natural Language Processing Vocabulary Translating Asian People Information Storage and Retrieval
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Telemedicine as a special case of machine translation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 30, 2015
Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which provide reasonable translations. However, these systems are not perfect, and their quality may decrea...
Pattern Recognition, Automated Vocabulary, Controlled Translating Poland Machine Learning Natural Language Processing Algorithms Telemedicine Electronic Health Records
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On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.

Journal of biomedical informatics Jun 30, 2015
The advances achieved in Natural Language Processing make it possible to automatically mine information from electronically created documents. Many Natural Language Processing methods that extract information from texts make use of annotated corpora,...
Drug-Related Side Effects and Adverse Reactions Data Mining Machine Learning Pharmacovigilance Language Algorithms Predictive Value of Tests Reproducibility of Results Electronic Health Records Natural Language Processing Translating Automation Pharmaceutical Preparations Adverse Drug Reaction Reporting Systems Linguistics
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SNOMED CT in a language isolate: an algorithm for a semiautomatic translation.

BMC medical informatics and decision making Jun 15, 2015
BACKGROUND: The Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatical...
Systematized Nomenclature of Medicine Language Humans Translating Natural Language Processing Algorithms Automation Electronic Health Records
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