Patrick Fernandes

Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues

2023 · arXiv (Cornell University)

Despite the remarkable advancements in machine translation, the current sentence-level paradigm faces challenges when dealing with highly-contextual languages like Japanese. In this paper, we explore how context-awareness can improve the performance of the current Neural …

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks

2024 · arXiv (Cornell University)

While general-purpose large language models (LLMs) demonstrate proficiency on multiple tasks within the domain of translation, approaches based on open LLMs are competitive only when specializing on a single task. In this paper, we propose …

Structured Neural Summarization

2018 · arXiv (Cornell University)

Summarization of long sequences into a concise statement is a core problem in natural language processing, requiring non-trivial understanding of the input. Based on the promising results of graph neural networks on highly structured data, …