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11/04/2022
Intriguing Properties of Compression on Multilingual Models
Multilingual models are often particularly dependent on scaling to gener...
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10/05/2022
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT
JoeyS2T is a JoeyNMT extension for speech-to-text tasks such as automati...
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05/09/2022
Building Machine Translation Systems for the Next Thousand Languages
In this paper we share findings from our effort to build practical machi...
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12/16/2021
Can Multilinguality benefit Non-autoregressive Machine Translation?
Non-autoregressive (NAR) machine translation has recently achieved signi...
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10/13/2021
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Training data for machine translation (MT) is often sourced from a multi...
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10/06/2021
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
A "bigger is better" explosion in the number of parameters in deep neura...
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09/13/2021
Evaluating Multiway Multilingual NMT in the Turkic Languages
Despite the increasing number of large and comprehensive machine transla...
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07/23/2021
Modelling Latent Translations for Cross-Lingual Transfer
While achieving state-of-the-art results in multiple tasks and languages...
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06/16/2021
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation
Policy gradient algorithms have found wide adoption in NLP, but have rec...
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03/22/2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling i...
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03/22/2021
MasakhaNER: Named Entity Recognition for African Languages
We take a step towards addressing the under-representation of the Africa...
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11/10/2020
Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara
Low-resource languages present unique challenges to (neural) machine tra...
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11/04/2020
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP
Large volumes of interaction logs can be collected from NLP systems that...
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10/23/2020
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
Recent progress in text classification has been focused on high-resource...
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10/05/2020
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Research in NLP lacks geographic diversity, and the question of how NLP ...
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10/05/2020
Inference Strategies for Machine Translation with Conditional Masking
Conditional masked language model (CMLM) training has proven successful ...
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04/23/2020
Correct Me If You Can: Learning from Error Corrections and Markings
Sequence-to-sequence learning involves a trade-off between signal streng...
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04/09/2020
On optimal transformer depth for low-resource language translation
Transformers have shown great promise as an approach to Neural Machine T...
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03/13/2020
Masakhane – Machine Translation For Africa
Africa has over 2000 languages. Despite this, African languages account ...
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07/29/2019
Joey NMT: A Minimalist NMT Toolkit for Novices
We present Joey NMT, a minimalist neural machine translation toolkit bas...
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07/11/2019
Self-Regulated Interactive Sequence-to-Sequence Learning
Not all types of supervision signals are created equal: Different types ...
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10/02/2018
Learning to Segment Inputs for NMT Favors Character-Level Processing
Most modern neural machine translation (NMT) systems rely on presegmente...
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10/02/2018
Optimally Segmenting Inputs for NMT Shows Preference for Character-Level Processing
Most modern neural machine translation (NMT) systems rely on presegmente...
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06/12/2018
Explaining and Generalizing Back-Translation through Wake-Sleep
Back-translation has become a commonly employed heuristic for semi-super...
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05/27/2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
We present a study on reinforcement learning (RL) from human bandit feed...
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05/03/2018
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation
We present an approach to interactive-predictive neural machine translat...
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04/16/2018
Can Neural Machine Translation be Improved with User Feedback?
We present the first real-world application of methods for improving neu...
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07/27/2017
A Shared Task on Bandit Learning for Machine Translation
We introduce and describe the results of a novel shared task on bandit l...
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04/21/2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Bandit structured prediction describes a stochastic optimization framewo...
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06/02/2016
