1 citations · 1 across the 2 of their papers we have counts for
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Using Machine Translation to Localize Task Oriented NLG Output
Scott Roy, Cliff Brunk, Kyu-Young Kim +6
One of the challenges in a task oriented natural language application like the Google Assistant, Siri, or Alexa is to localize the output to many languages. This paper explores doi…
Machine Translation Pre-training for Data-to-Text Generation -- A Case Study in Czech
Mihir Kale, Scott Roy
While there is a large body of research studying deep learning methods for text generation from structured data, almost all of it focuses purely on English. In this paper, we study…
APE at Scale and its Implications on MT Evaluation Biases
Markus Freitag, Isaac Caswell, Scott Roy
In this work, we train an Automatic Post-Editing (APE) model and use it to reveal biases in standard Machine Translation (MT) evaluation procedures. The goal of our APE model is to…
Unsupervised Natural Language Generation with Denoising Autoencoders
Markus Freitag, Scott Roy
Generating text from structured data is important for various tasks such as question answering and dialog systems. We show that in at least one domain, without any supervision and…