Human translation remains superior to machine translation (MT) because only human translation can achieve the quality necessary to preserve the style, tone and intent of the text to be translated. Machines are not capable of understanding at the...
The proofreading phase in translation is an opportunity to perfect translated content and transcend boundaries, conveying the same message and intent to the target audience.
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 arrival of deep learning poses a particularly optimistic conundrum in the development of Artificial Intelligence: what if machines were capable of learning on their own, in the same way that we humans do?
Data masking is essential to ensure the privacy of sensitive data. By eliminating sensitive information or replacing it with fictitious or altered data, its exposure is reduced and the privacy of the individuals or entities involved is protected....
Conventional AI-based models aim to solve a given task from scratch by training and using a fine-tuned learning algorithm, but meta-learning seeks to improve that same learning algorithm, through various learning methods.
Thus, meta-learning is a...
If you are a content manager and own a business, you know how much time writing takes. One of your writers may produce content for your blog every week, for example, a content-rich article of about 1,000 words. It soon adds up to 10,000 words of...
The clarity of annotation guidelines is a key building block to obtain quality data used to train machine learning models. Proper training and annotation guidelines for human labelers are key factors directly determining how well those models will...
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