Low-resource neural machine translation: A systematic literature review
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 …
in the literature on low-resource neural machine translation. Within the scope of the study …
The impact of preprocessing on word embedding quality: A comparative study
Data preprocessing is among the principal stages in virtually all text-based tasks. In this
light, recent approaches have employed word embeddings in the majority of text-based …
light, recent approaches have employed word embeddings in the majority of text-based …
Systematic exploration and in-depth analysis of ChatGPT architectures progression
The fast evolution of artificial intelligence frameworks has resulted in the creation of
increasingly sophisticated large language models (LLM), ChatGPT being the most famous …
increasingly sophisticated large language models (LLM), ChatGPT being the most famous …
Sentiment induced phrase-based machine translation: Robustness analysis of PBSMT with senti-module
D Banik - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Every type of machine translation system (ie neural, statistical, rule-based machine
translation system) is equal important to build a sophistical hybrid machine translation …
translation system) is equal important to build a sophistical hybrid machine translation …
Resource allocation problem and artificial intelligence: the state-of-the-art review (2009–2023) and open research challenges
With the increasing growth of information through smart devices, enhancing the quality of
human life necessitates the adoption of various computational paradigms including, cloud …
human life necessitates the adoption of various computational paradigms including, cloud …
Interpretation and machine translation towards google translate as a part of machine translation and teaching translation
VL Kane - Applied Translation, 2021 - appliedtranslation.lingcure.org
Abstract Language comprehension is the capacity of someone to properly understand the
language to fully communicate the message and details. When dialects are distinct, the …
language to fully communicate the message and details. When dialects are distinct, the …
Low resource neural machine translation: Assamese to/from other indo-aryan (indic) languages
Machine translation (MT) systems have been built using numerous different techniques for
bridging the language barriers. These techniques are broadly categorized into approaches …
bridging the language barriers. These techniques are broadly categorized into approaches …
[HTML][HTML] Towards the Implementation of Automated Scoring in International Large-scale Assessments: Scalability and Quality Control
Even before the age of artificial intelligence, automated scoring received considerable
attention in educational measurement. However, its application to constructed response …
attention in educational measurement. However, its application to constructed response …
Resnet based hybrid convolution LSTM for hyperspectral image classification
There are many spectral bands of different wavelengths present in Hyperspectral Image
containing a huge amount of information that helps to detect and identify various objects …
containing a huge amount of information that helps to detect and identify various objects …
[HTML][HTML] Heterogeneous attention based transformer for sign language translation
Sign language translation (SLT) has attracted significant interest both from research and
industry, enabling convenient communications with the deaf-mute community. While recent …
industry, enabling convenient communications with the deaf-mute community. While recent …