most citedHarnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade

25 citations · 45 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CL2020

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

Katharina Kann, Arya McCarthy, Garrett Nicolai +1

In this paper, we describe the findings of the SIGMORPHON 2020 shared task on unsupervised morphological paradigm completion (SIGMORPHON 2020 Task 2), a novel task in the field of…

cs.CL2020

Predicting Declension Class from Form and Meaning

Adina Williams, Tiago Pimentel, Arya D. McCarthy +3

The noun lexica of many natural languages are divided into several declension classes with characteristic morphological properties. Class membership is far from deterministic, but…

cs.CL20203 cited

Unsupervised Morphological Paradigm Completion

Huiming Jin, Liwei Cai, Yihui Peng +3

We propose the task of unsupervised morphological paradigm completion. Given only raw text and a lemma list, the task consists of generating the morphological paradigms, i.e., all…

eess.AS20202 cited

SkinAugment: Auto-Encoding Speaker Conversions for Automatic Speech Translation

Arya D. McCarthy, Liezl Puzon, Juan Pino

We propose autoencoding speaker conversion for training data augmentation in automatic speech translation. This technique directly transforms an audio sequence, resulting in audio…

cs.CL201925 cited

Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade

Juan Pino, Liezl Puzon, Jiatao Gu +3

For automatic speech translation (AST), end-to-end approaches are outperformed by cascaded models that transcribe with automatic speech recognition (ASR), then translate with machi…

cs.CL20191 cited

Modeling Color Terminology Across Thousands of Languages

Arya D. McCarthy, Winston Wu, Aaron Mueller +2

There is an extensive history of scholarship into what constitutes a "basic" color term, as well as a broadly attested acquisition sequence of basic color terms across many languag…