Elizabeth Salesky | DeepAI

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∙ 05/23/2023

Pixel Representations for Multilingual Translation and Data-efficient Cross-lingual Transfer

We introduce and demonstrate how to effectively train multilingual machi...

0 Elizabeth Salesky, et al. ∙

∙ 01/25/2023

A Holistic Cascade System, benchmark, and Human Evaluation Protocol for Expressive Speech-to-Speech Translation

Expressive speech-to-speech translation (S2ST) aims to transfer prosodic...

0 Wen-Chin Huang, et al. ∙

∙ 07/14/2022

Language Modelling with Pixels

Language models are defined over a finite set of inputs, which creates a...

3 Phillip Rust, et al. ∙

∙ 07/07/2022

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus

BibleTTS is a large, high-quality, open speech dataset for ten languages...

2 Josh Meyer, et al. ∙

∙ 05/07/2022

UniMorph 4.0: Universal Morphology

The Universal Morphology (UniMorph) project is a collaborative effort pr...

2 Khuyagbaatar Batsuren, et al. ∙

∙ 12/20/2021

Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

What are the units of text that we want to model? From bytes to multi-wo...

21 Sabrina J. Mielke, et al. ∙

∙ 10/26/2021

Assessing Evaluation Metrics for Speech-to-Speech Translation

Speech-to-speech translation combines machine translation with speech sy...

0 Elizabeth Salesky, et al. ∙

∙ 09/30/2021

A surprisal–duration trade-off across and within the world's languages

While there exist scores of natural languages, each with its unique feat...

0 Tiago Pimentel, et al. ∙

∙ 06/07/2021

SIGTYP 2021 Shared Task: Robust Spoken Language Identification

While language identification is a fundamental speech and language proce...

4 Elizabeth Salesky, et al. ∙

∙ 04/16/2021

Robust Open-Vocabulary Translation from Visual Text Representations

Machine translation models have discrete vocabularies and commonly use s...

0 Elizabeth Salesky, et al. ∙

∙ 02/02/2021

The Multilingual TEDx Corpus for Speech Recognition and Translation

We present the Multilingual TEDx corpus, built to support speech recogni...

7 Elizabeth Salesky, et al. ∙

∙ 10/16/2020

SIGTYP 2020 Shared Task: Prediction of Typological Features

Typological knowledge bases (KBs) such as WALS (Dryer and Haspelmath, 20...

0 Johannes Bjerva, et al. ∙

∙ 06/20/2020

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection

A broad goal in natural language processing (NLP) is to develop a system...

0 Ekaterina Vylomova, et al. ∙

∙ 05/28/2020

A Corpus for Large-Scale Phonetic Typology

A major hurdle in data-driven research on typology is having sufficient ...

0 Elizabeth Salesky, et al. ∙

∙ 05/27/2020

Phone Features Improve Speech Translation

End-to-end models for speech translation (ST) more tightly couple speech...

0 Elizabeth Salesky, et al. ∙

∙ 05/20/2020

Relative Positional Encoding for Speech Recognition and Direct Translation

Transformer models are powerful sequence-to-sequence architectures that ...

0 Ngoc-Quan Pham, et al. ∙

∙ 05/02/2020

Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing

Prior work has explored directly regularizing the output distributions o...

0 Clara Meister, et al. ∙

∙ 07/23/2019

CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology

This paper presents the submission by the CMU-01 team to the SIGMORPHON ...

0 Aditi Chaudhary, et al. ∙

∙ 06/04/2019

Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation

Previous work on end-to-end translation from speech has primarily used f...

0 Elizabeth Salesky, et al. ∙

∙ 06/03/2019

Fluent Translations from Disfluent Speech in End-to-End Speech Translation

Spoken language translation applications for speech suffer due to conver...

0 Elizabeth Salesky, et al. ∙

∙ 11/07/2018

Towards Fluent Translations from Disfluent Speech

When translating from speech, special consideration for conversational s...

0 Elizabeth Salesky, et al. ∙

∙ 10/19/2018

Optimizing Segmentation Granularity for Neural Machine Translation

In neural machine translation (NMT), it is has become standard to transl...

0 Elizabeth Salesky, et al. ∙

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