activity
20142024
most citedDyNet: The Dynamic Neural Network Toolkit

343 citations · 1.3k across the 50 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces

Kelly Marchisio, Youngser Park, Ali Saad-Eldin +4

Much recent work in bilingual lexicon induction (BLI) views word embeddings as vectors in Euclidean space. As such, BLI is typically solved by finding a linear transformation that…

eess.AS2021★ 4 cited

Non-autoregressive End-to-end Speech Translation with Parallel Autoregressive Rescoring

Hirofumi Inaguma, Yosuke Higuchi, Kevin Duh +2

This article describes an efficient end-to-end speech translation (E2E-ST) framework based on non-autoregressive (NAR) models. End-to-end speech translation models have several adv…

eess.AS2021★ 1 cited

ESPnet-ST IWSLT 2021 Offline Speech Translation System

Hirofumi Inaguma, Brian Yan, Siddharth Dalmia +4

This paper describes the ESPnet-ST group's IWSLT 2021 submission in the offline speech translation track. This year we made various efforts on training data, architecture, and audi…

cs.CL2021

Self-Guided Curriculum Learning for Neural Machine Translation

Lei Zhou, Liang Ding, Kevin Duh +3

In the field of machine learning, the well-trained model is assumed to be able to recover the training labels, i.e. the synthetic labels predicted by the model should be as close t…

eess.AS2021★ 7 cited

Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec

Jiatong Shi, Jonathan D. Amith, Rey Castillo García +3

"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation. Automatic speech recogn…