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 (…)
Nobody would deny that context has a salient relevance in translation endeavors, and on a broader scope, in understanding language in use. But on second thought, “context” is a more complex notion that refers to different levels of texts and reality. Is context only what surrounds a word or an expression? (…)
Brazil is a massive country with more than 211 million people living across 3,287,956 square miles. In fact, Brazil is
When it comes time to polish a translation project before finalizing it, sometimes editors, reviewers, and clients make changes not for accuracy’s sake, but for style’s sake. Stylistic changes can impact the quality of a translation and it’s important to understand (…)
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