Arianna Bisazza | DeepAI

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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 ...

0 Gaofei Shen, et al. ∙

∙ 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 ...

0 Yuchen Lian, et al. ∙

∙ 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 ...

0 Gabriele Sarti, et al. ∙

∙ 05/24/2022

Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer

Massively multilingual models are promising for transfer learning across...

0 Ahmet Üstün, et al. ∙

∙ 07/13/2021

On the Difficulty of Translating Free-Order Case-Marking Languages

Identifying factors that make certain languages harder to model than oth...

0 Arianna Bisazza, et al. ∙

∙ 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...

0 Yuchen Lian, et al. ∙

∙ 04/29/2020

UDapter: Language Adaptation for Truly Universal Dependency Parsing

Recent advances in the field of multilingual dependency parsing have bro...

0 Ahmet Üstün, et al. ∙

∙ 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...

0 Prajit Dhar, et al. ∙

∙ 12/19/2019

BERTje: A Dutch BERT Model

The transformer-based pre-trained language model BERT has helped to impr...

0 Wietse de Vries, et al. ∙

∙ 10/12/2019

Zero-shot Dependency Parsing with Pre-trained Multilingual Sentence Representations

We investigate whether off-the-shelf deep bidirectional sentence represe...

0 Ke Tran, et al. ∙

∙ 03/09/2018

The Importance of Being Recurrent for Modeling Hierarchical Structure

Recent work has shown that recurrent neural networks (RNNs) can implicit...

0 Ke Tran, et al. ∙

∙ 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...

0 Marzieh Fadaee, et al. ∙

∙ 08/02/2017

Dynamic Data Selection for Neural Machine Translation

Intelligent selection of training data has proven a successful technique...

0 Marlies van der Wees, et al. ∙

∙ 05/01/2017

Learning Topic-Sensitive Word Representations

Distributed word representations are widely used for modeling words in N...

0 Marzieh Fadaee, et al. ∙

∙ 05/01/2017

Data Augmentation for Low-Resource Neural Machine Translation

The quality of a Neural Machine Translation system depends substantially...

0 Marzieh Fadaee, et al. ∙

∙ 08/16/2016

Neural versus Phrase-Based Machine Translation Quality: a Case Study

Within the field of Statistical Machine Translation (SMT), the neural ap...

0 Luisa Bentivogli, et al. ∙

∙ 01/06/2016

Recurrent Memory Networks for Language Modeling

Recurrent Neural Networks (RNN) have obtained excellent result in many n...

0 Ke Tran, et al. ∙

∙ 02/17/2015

A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena

Word reordering is one of the most difficult aspects of statistical mach...

0 Arianna Bisazza, et al. ∙

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