It is well-established that when categorizing lexical associations of words in news corpora, women and minorities tend to be associated with negative terms (Manziniet al. 2019). This harm is also carried through other forms ...

We review new advances in word embeddings and apply them to cross-lingual literary analysis of Latin and English translations of Latin. We introduce word embeddings, summarize the developments to them that allow them to ...

This thesis is about analyzing the different approaches to verb prediction in machine translation, mainly between languages with different grammar structures. We will introduce the importance of verb prediction in translation ...

Machine translation is widely used by people. However, all machine translation models can sometimes make mistakes. I review some previous studies on possible errors in machine translation. Then I elaborate on the problem ...