Onur Çelebi

Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment

2019 · arXiv (Cornell University)

In this paper, we focus on the problem of adapting word vector-based models to new textual data. Given a model pre-trained on large reference data, how can we adapt it to a smaller piece of …

Beyond English-Centric Multilingual Machine Translation

2020 · arXiv (Cornell University)

Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate between any pair of languages. However, much of this work is English-Centric by training only …

No Language Left Behind: Scaling Human-Centered Machine Translation

2022 · arXiv (Cornell University)

Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However, such efforts have coalesced around a small subset …