The Metaverse, a virtual reality (VR) space where users can interact with each other and
digital objects, is rapidly becoming a reality. As this new world evolves, Artificial Intelligence …

Neural machine translation has predominantly outperformed previous machine translation
models primarily for resourceful languages. However, very little work has been reported for …

In the industrial processes, the drift in operation conditions would cause the discrepancy of
data distribution. In this study, an unsupervised transfer autoencoder model based on …

This paper introduces a novel method for collecting and translating texts from the Mixtec to
the Spanish language. The method comprises four primary steps. First, we collected a …

The convolutional neural network is relatively prevalent for visual recognition tasks.
Implementing CNN for neural machine translation is still challenging compared to the …

Taking advantage of the enormous advancement of the transformer model using a neural-
based approach for text translation, we extent another research project into the extremely …

In this work, we focus on the development of machine translation (MT) models of a
lowresource language pair viz. English-Manipuri. Manipuri is one of the eight scheduled …

If today some African languages like Swahili have enough resources to develop high-
performing Natural Language Processing (NLP) systems, many other languages spoken on …

This study investigates the effectiveness of transfer learning in machine translation across
diverse linguistic families by evaluating five distinct language pairs. Leveraging pre-trained …

The issues of structural divergence, ambiguity, low resource language, and lack of training
data are present in neural machine translation from English-to-Hindi and Hindi-to-English …