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05/30/2023
Wave to Syntax: Probing spoken language models for syntax
Understanding which information is encoded in deep models of spoken and ...
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01/30/2023
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off
Artificial learners often behave differently from human learners in the ...
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05/24/2022
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
We introduce DivEMT, the first publicly available post-editing study of ...
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05/24/2022
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
Massively multilingual models are promising for transfer learning across...
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07/13/2021
On the Difficulty of Translating Free-Order Case-Marking Languages
Identifying factors that make certain languages harder to model than oth...
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04/15/2021
The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
Natural languages commonly display a trade-off among different strategie...
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04/29/2020
UDapter: Language Adaptation for Truly Universal Dependency Parsing
Recent advances in the field of multilingual dependency parsing have bro...
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03/31/2020
Understanding Cross-Lingual Syntactic Transfer in Multilingual Recurrent Neural Networks
It is now established that modern neural language models can be successf...
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12/19/2019
BERTje: A Dutch BERT Model
The transformer-based pre-trained language model BERT has helped to impr...
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10/12/2019
Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations
We investigate whether off-the-shelf deep bidirectional sentence represe...
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03/09/2018
The Importance of Being Recurrent for Modeling Hierarchical Structure
Recent work has shown that recurrent neural networks (RNNs) can implicit...
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02/13/2018
Examining the Tip of the Iceberg: A Data Set for Idiom Translation
Neural Machine Translation (NMT) has been widely used in recent years wi...
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08/02/2017
Dynamic Data Selection for Neural Machine Translation
Intelligent selection of training data has proven a successful technique...
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05/01/2017
Learning Topic-Sensitive Word Representations
Distributed word representations are widely used for modeling words in N...
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05/01/2017
Data Augmentation for Low-Resource Neural Machine Translation
The quality of a Neural Machine Translation system depends substantially...
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08/16/2016
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Within the field of Statistical Machine Translation (SMT), the neural ap...
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01/06/2016
Recurrent Memory Networks for Language Modeling
Recurrent Neural Networks (RNN) have obtained excellent result in many n...
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02/17/2015
