98 citations · 347 across the 22 of their papers we have counts for
7 papers · 1 filter
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…
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…
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection
Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu +9
The SIGMORPHON 2019 shared task on cross-lingual transfer and contextual analysis in morphology examined transfer learning of inflection between 100 language pairs, as well as cont…
Improved Variational Neural Machine Translation by Promoting Mutual Information
Arya D. McCarthy, Xian Li, Jiatao Gu +1
Posterior collapse plagues VAEs for text, especially for conditional text generation with strong autoregressive decoders. In this work, we address this problem in variational neura…
Meaning to Form: Measuring Systematicity as Information
Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi +2
A longstanding debate in semiotics centers on the relationship between linguistic signs and their corresponding semantics: is there an arbitrary relationship between a word form an…
An Exact No Free Lunch Theorem for Community Detection
Arya D. McCarthy, Tongfei Chen, Seth Ebner
A precondition for a No Free Lunch theorem is evaluation with a loss function which does not assume a priori superiority of some outputs over others. A previous result for communit…
Metrics matter in community detection
Arya D. McCarthy, Tongfei Chen, Rachel Rudinger +1
We present a critical evaluation of normalized mutual information (NMI) as an evaluation metric for community detection. NMI exaggerates the leximin method's performance on weak co…