adaptmllm: Fine-tuning multilingual language models on low-resource languages with integrated llm playgrounds
The advent of Multilingual Language Models (MLLMs) and Large Language Models (LLMs)
has spawned innovation in many areas of natural language processing. Despite the exciting …
has spawned innovation in many areas of natural language processing. Despite the exciting …
The neural machine translation models for the low-resource Kazakh–English language pair
The development of the machine translation field was driven by people's need to
communicate with each other globally by automatically translating words, sentences, and …
communicate with each other globally by automatically translating words, sentences, and …
adaptNMT: an open-source, language-agnostic development environment for neural machine translation
Abstract adaptNMT streamlines all processes involved in the development and deployment
of RNN and Transformer neural translation models. As an open-source application, it is …
of RNN and Transformer neural translation models. As an open-source application, it is …
[HTML][HTML] Transformer-Based Re-Ranking Model for Enhancing Contextual and Syntactic Translation in Low-Resource Neural Machine Translation
Neural machine translation (NMT) plays a vital role in modern communication by bridging
language barriers and enabling effective information exchange across diverse linguistic …
language barriers and enabling effective information exchange across diverse linguistic …
Analysis of automatic evaluation metric on low-resourced language: BERTScore vs BLEU score
The accurate evaluation of machine translation (MT) is a difficult task. Human evaluation
(judgment) is considered to be the best, but it is time-consuming. Hence, the importance of …
(judgment) is considered to be the best, but it is time-consuming. Hence, the importance of …
Traducción automática neuronal para lenguas con recursos reducidos. La evaluación de los usuarios según el principio de no inferioridad
M Do Campo Bayón - 2023 - ddd.uab.cat
La presente tesis de investigación tiene como objetivo desarrollar un motor de traducción
automática neuronal (TAN) para la combinación castellano-gallego y el ámbito de las redes …
automática neuronal (TAN) para la combinación castellano-gallego y el ámbito de las redes …
A Transformer-Based Approach with OpenNMT for Indonesian to Gayo Language Translation
The Gayo language has been used by the Gayo community for approximately 7,500 years,
but its usage has been continuously declining, and its digital documentation is minimal. To …
but its usage has been continuously declining, and its digital documentation is minimal. To …
Human Versus Automatic Evaluation of NMT for Low-Resource Indian Language
Abstract Machine Translation (MT) is an important application of natural language
processing that converts a source language to a target language automatically with the …
processing that converts a source language to a target language automatically with the …
Research on Low-Resource Neural Machine Translation Methods Based on Explicit Sparse Attention and Pre-trained Language Model
T Ning, X Xie, J Zhang - 2024 IEEE 12th International …, 2024 - ieeexplore.ieee.org
The development of machine translation is driven by the need for global communication
through the automatic translation of words, sentences, and texts from one language to …
through the automatic translation of words, sentences, and texts from one language to …
[PDF][PDF] Constraints to Neural Machine Translation Quality, Human and Automated Evaluation, and Quality Improvement across Language Pairs: A Systematic Literature …
NA AlGhamedi - Editorial Board, 2024 - jrlt.ksu.edu.sa
There is no systematic literature review (SLR) that has attempted to synthesize current
knowledge on Neural Machine Translation (NMT) quality. The objectives of this SLR are to …
knowledge on Neural Machine Translation (NMT) quality. The objectives of this SLR are to …