AIMC Topic: Translations

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Using robots to advance clinical translation in neurorehabilitation.

Science robotics
A preclinical robotic platform aids rehabilitation, therapy development, and assessment of recovery for upper limb impairments.

Machine Translation System Using Deep Learning for English to Urdu.

Computational intelligence and neuroscience
Machine translation is an ongoing field of research from the last decades. The main aim of machine translation is to remove the language barrier. Earlier research in this field started with the direct word-to-word replacement of source language by th...

Automatic Detection of Grammatical Errors in English Verbs Based on RNN Algorithm: Auxiliary Objectives for Neural Error Detection Models.

Computational intelligence and neuroscience
With the rapid development of neural network technology, we have widely used this technology in various fields. In the field of language translation, the research on automatic detection technology of English verb grammatical errors is in a hot stage....

Optimization of Machine Online Translation System Based on Deep Convolution Neural Network Algorithm.

Computational intelligence and neuroscience
In order to effectively optimize the machine online translation system and improve its translation efficiency and translation quality, this study uses the deep separable convolution neural network algorithm to construct a machine online translation m...

Forecasting Erroneous Neural Machine Translation of Disease Symptoms: Development of Bayesian Probabilistic Classifiers for Cross-Lingual Health Translation.

International journal of environmental research and public health
BACKGROUND: Machine translation (MT) technologies have increasing applications in healthcare. Despite their convenience, cost-effectiveness, and constantly improved accuracy, research shows that the use of MT tools in medical or healthcare settings p...

Business English Translation Model Based on BP Neural Network Optimized by Genetic Algorithm.

Computational intelligence and neuroscience
In recent years, most of the communication places are using business English manual simultaneous interpretation or electronic equipment translation. In the context of diverse cultures, the way English is used and its grammar vary from country to coun...

Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation.

Computational intelligence and neuroscience
Scaling natural language processing (NLP) to low-resourced languages to improve machine translation (MT) performance remains enigmatic. This research contributes to the domain on a low-resource English-Twi translation based on filtered synthetic-para...

Mixed-Level Neural Machine Translation.

Computational intelligence and neuroscience
Building the first Russian-Vietnamese neural machine translation system, we faced the problem of choosing a translation unit system on which source and target embeddings are based. Available homogeneous translation unit systems with the same translat...

Automated content analysis across six languages.

PloS one
Corpus selection bias in international relations research presents an epistemological problem: How do we know what we know? Most social science research in the field of text analytics relies on English language corpora, biasing our ability to underst...

A Neural Machine Translation Model for Arabic Dialects That Utilises Multitask Learning (MTL).

Computational intelligence and neuroscience
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...