activity
20162026
most citedDyNet: The Dynamic Neural Network Toolkit

343 citations · 620 across the 68 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.CL2018★ 74 cited

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

Brian Thompson, Huda Khayrallah, Antonios Anastasopoulos +7

To better understand the effectiveness of continued training, we analyze the major components of a neural machine translation system (the encoder, decoder, and each embedding space…

cs.CL2018

Neural Machine Translation of Text from Non-Native Speakers

Antonios Anastasopoulos, Alison Lui, Toan Nguyen +1

Neural Machine Translation (NMT) systems are known to degrade when confronted with noisy data, especially when the system is trained only on clean data. In this paper, we show that…

cs.CL2018★ 5 cited

A small Griko-Italian speech translation corpus

Marcely Zanon Boito, Antonios Anastasopoulos, Marika Lekakou +2

This paper presents an extension to a very low-resource parallel corpus collected in an endangered language, Griko, making it useful for computational research. The corpus consists…

cs.CL2018★ 12 cited

Part-of-Speech Tagging on an Endangered Language: a Parallel Griko-Italian Resource

Antonis Anastasopoulos, Marika Lekakou, Josep Quer +3

Most work on part-of-speech (POS) tagging is focused on high resource languages, or examines low-resource and active learning settings through simulated studies. We evaluate POS ta…

cs.CL2018

Leveraging translations for speech transcription in low-resource settings

Antonis Anastasopoulos, David Chiang

Recently proposed data collection frameworks for endangered language documentation aim not only to collect speech in the language of interest, but also to collect translations into…

cs.CL2018

Tied Multitask Learning for Neural Speech Translation

Antonios Anastasopoulos, David Chiang

We explore multitask models for neural translation of speech, augmenting them in order to reflect two intuitive notions. First, we introduce a model where the second task decoder r…