3 papers
cs.CL2025
You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
Achieving human-level translations requires leveraging context to ensure coherence and handle complex phenomena like pronoun disambiguation. Sparsity of contextually rich examples…
cs.CL2024
Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
In this paper, we investigate the role of attention heads in Context-aware Machine Translation models for pronoun disambiguation in the English-to-German and English-to-French lang…
cs.CL2024
Sequence Shortening for Context-Aware Machine Translation
Paweł Mąka, Yusuf Can Semerci, Jan Scholtes +1
Context-aware Machine Translation aims to improve translations of sentences by incorporating surrounding sentences as context. Towards this task, two main architectures have been a…