Higher volumes of data are good, but clean data is always better. The value of cleaned and properly processed data is enormous with machine translation. Translators trained with cleaned and prepared data achieve better linguistic quality.
Data annotation is the labelling of linguistic data in textual or spoken form. With annotation, you can identify linguistic elements in a text. Adding tags and labels to data creates data corpora used to train AI algorithms.