AI-powered tools have become integral in various industries, and their influence is becoming more and more prominent in translation and localization. Two notable AI-driven technologies in this field are NMT and LLMs. While both are powerful tools, understanding their differences is essential as their applications, underlying architectures, and functionalities have distinct strengths and weaknesses.
ChatGPT is a highly advanced chatbot that utilizes cutting-edge technology to engage in natural and varied conversations with users.
Although a machine learning model can be a powerful tool in the translation space, it can only be as good as the data it learns from. If there is a systematic error in the data used to train a machine learning algorithm, the resulting model will reflect this (…)
Major technological advancements are made every single day and the driving force behind these life saving and world altering advancements is always human (…)
SEO. Three little letters, a whole lot of potential. SEO stands for Search Engine Optimization and it is a super valuable tool for anyone who wants their website to be discovered by potential readers or customers (…)
The implementation of artificial intelligence provides new resources and possibilities to the localization industry. As a result, the translation workflows change. Because of that, language professionals perform (…)
The implementation of machine translation (MT) impacts the localization workflow with increased rates of productivity because it reduces delivery times and costs. But it also has other consequences, like redefining the traditional roles(…)
Machine translation has always caused controversy in the translation industry. According to Bibiana Cirera, Lead Linguist at Terra Translations, this is primarily because some translators and editors have firmly opposed the incorporation of machine translation into their work (…)
Post-edition is the task of improving a machine translation (MT) output. This service is part of a wider workflow that may involve the preparation of the input, the implementation of MT and the evaluation of the obtained (…)
The use of Machine Learning is growing at an extraordinary rate. In fact, business leaders said they believe Artificial Intelligence (AI) is going to be fundamental in the future (…)
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