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05/26/2023
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator Loss
Although unsupervised neural machine translation (UNMT) has achieved suc...
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05/22/2023
Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters
To translate speech for automatic dubbing, machine translation needs to ...
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05/22/2023
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation
Despite advances in multilingual neural machine translation (MNMT), we a...
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04/16/2023
Optimal Sampling for Estimation of Fractional Brownian Motion
In this paper, we focus on multiple sampling problems for the estimation...
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02/25/2023
Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing
Automatic dubbing (AD) is the task of translating the original speech in...
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02/14/2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
Pretrained language models (PLMs) are trained on massive corpora, but of...
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10/21/2022
m^4Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter
Multilingual neural machine translation models (MNMT) yield state-of-the...
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09/30/2022
Language-Family Adapters for Multilingual Neural Machine Translation
Massively multilingual models pretrained on abundant corpora with self-s...
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12/16/2021
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
Generative language models are trained on diverse, general domain corpor...
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03/18/2021
Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation
Successful methods for unsupervised neural machine translation (UNMT) em...
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10/25/2020
The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task
This paper describes the submission of LMU Munich to the WMT 2020 unsupe...
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09/28/2020
Domain Adversarial Fine-Tuning as an Effective Regularizer
In Natural Language Processing (NLP), pre-trained language models (LMs) ...
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09/16/2020
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT
Using a language model (LM) pretrained on two languages with large monol...
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02/27/2019
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models
A growing number of state-of-the-art transfer learning methods employ la...
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09/03/2018
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification
In this paper we present our approach to tackle the Implicit Emotion Sha...
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05/04/2018
A Customer Choice Model with HALO Effect
In this paper, we propose an extension to the multinomial logit (MNL) mo...
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04/18/2018
