The Creation of Custom Data Sets to Meet Customer Needs: A BSC Project
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
3 min read
25/04/2023
The rise of eLearning has made education more accessible than ever before. The eLearning industry is valued at $315B in revenue, which makes it a lucrative sector many companies are stepping into. However, eLearning providers face one challenge: translating their content into multiple languages. Business statistics point to strong performance in the market (20% growth or more in the coming decade). Modern organizations know that they must deliver high-quality learning material quickly to stay ahead of the competition. This is all fine when working with just one language, but delivering multiple languages in eLearning can become a challenge, whether you follow waterfall or agile production models. Global users create a strong demand for translated eLearning material, and businesses will miss out on customers, partners, and talented employees if they only produce content in English. Forward-thinking eLearning organizations and translation vendors have turned to custom and adaptive Machine Translation as a solution.
Traditional translation methods can be time-consuming, inefficient, expensive, and may not always be accurate. And this is where AI comes in, in the shape of highly specialized Machine Translation (MT). It is high time to disrupt and revolutionize eLearning translation services.
MT is a technology that belongs to NLP, the branch of Artificial Intelligence that solves language problems and, as a result, can automatically translate eLearning content from one language to another. With the advent of Large Language Models and their application to translation services, high levels of accuracy are being obtained.
Learn more: Things You Need to Know About Machine Translation
MT has several advantages over traditional CAT-tool-based translation methods, but we understand you may feel a little skeptical about the technology. You do not need to fear anything. Advances in Artificial Intelligence technology are achieving higher and higher levels of human-like quality thanks to a combination of massive data sets, specialist terminology, Deep Adaptive MT model building, and continuous product testing.
For example, Pangeanic’s Machine Translation systems use deep neural networks, allowing them to learn the deep relations between words, as well as how and when they appear together. Deep neural networks learn the nuances of each language and their relation with the other languages. Machine Translation software learns as it produces the translation, and its quality continues to improve over time. You can also use automated services for document translation with private cloud-based solutions like Pangeanic's ECO platform, a very mature option for translating millions of documents daily. Our translation models have been trained using domain-specific language terms for fields like the automotive industry, engineering, finance, healthcare, or legal documents, so they are able to translate complex terminology very accurately.
Here are some advantages:
Overall, MT is a powerful tool that can revolutionize eLearning translation. It is faster, more accurate, and more cost-effective than traditional translation methods. As MT technology continues to improve, it will likely become even more widely used. For example, adding reviewer post-edits on the fly or after quality control processes have taken place for the machine translation model to understand corrections is already common practice. Thus, Machine Translation models improve from the very first day they are used.
There are some additional benefits of using MT for eLearning translation:
Pangeanic has a long history of building custom engines specialized in each client's domain, saving hundreds of hours in content delivery and increasing revenue opportunities for its clients.
MT is a valuable tool that can help eLearning providers to improve their reach, engagement, and success. If you are an eLearning provider, we encourage you to consider using custom and adaptive Machine Translation services to translate your content.
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
The technological advances that have occurred over the course of the last few decades have made it possible to optimize and streamline the work of human translators. One of these advances is machine translation (MT).
Synthetic data is data that has been artificially generated from a model trained to reproduce the characteristics and structure of the original data. The goal is for the synthetic data to be sufficiently similar to the...