Data is the lifeblood of any successful machine learning model, and machine translation models are no exception. Without relevant and properly labelled data, even the most sophisticated model will be unable to achieve reliable results.
Sometimes, getting hold of the right data can be the most challenging part of a project, especially if you’re trying to do something entirely new – such as creating machine translation for rare languages.
In this whitepaper, we will look at how to address these challenges by showing you how to create a perfect dataset for machine translation models, how to do data cleaning for machine translation, and how to perform machine translation evaluation. Get all the information by downloading the whitepaper below!