In this study, a systematic literature review was conducted to examine the significant works
in the literature on low-resource neural machine translation. Within the scope of the study …

Authorship Attribution (AA) is crucial for identifying the author of a given text from a pool of
suspects, especially with the widespread use of the internet and electronic devices …

Cues from multiple modalities have been successfully applied in several fields of natural
language processing including machine translation (MT). However, the application of …

Most deep learning-based underwater image enhancement approaches rely on paired
underwater datasets. Given the scarcity of real-world paired datasets and the inadequacy of …

This paper proposes an English‐Chinese machine translation research method based on
transfer learning. First, it expounds the theory of neural machine translation and transfer …

Reinforcement learning (RL) has demonstrated impressive results in various fields;
however, its performance can be significantly hindered when the training and testing …

The use of subword embedding has proved to be a major innovation in Neural machine
translation (NMT). It helps NMT to learn better context vectors for Low resource languages …

In the English translation task, the semantics of context play an important role in correctly
understanding the subtle differences between keywords. The bidirectional LSTM includes a …

During today's age of unparalleled connectivity, language and data have become powerful
tools capable of enabling effective communication and cross-cultural collaborations. Neural …