Depression is a common but easily misdiagnosed disease when using a self-assessment
scale. Electroencephalograms (EEGs) provide an important reference and objective basis …

Attention-based neural machine translation (attentional NMT), which jointly aligns and
translates, has got much popularity in recent years. Besides, a language model needs an …

This two-volume set constitutes the refereed proceedings of the 5th International Conference
on Computational Intelligence in Communications and Business Analytics, CICBA 2023 …

The complexity and volatility of financial markets place higher demands on the accuracy of
stock forecasts. This paper uses ** An Daily Market Data as the source of experimental …

Translating written or spoken words from one language to another while preserving their
original intent, meaning, and tone is referred to as language translation and it is both an art …

In 1933, French engineer GB Artsouni secured a patent for a translation machine, thereby
initiating the era of machine translation (Jiang & Lu, 2020). Subsequently, in 1954 …

This study proposes an innovative method for Chinese-Arabic machine translation (zh-
ar_MT), integrating adaptive local attention mechanisms (ALAM) with dynamic global …

Abstract Machine Translation (MT) from English to regional languages plays a pivotal role in
facilitating global communication and fostering cultural exchange. This paper delves into the …

In order to study Crowdsourcing Translation, a recurrent neural network model based on
bilingual constraints was proposed, and this model was applied to the decoding process of …

Abstract Neural Machine Translation (NMT) has experienced significant growth in recent
years and is now a well-established field. Despite being the most popular machine …