Jean Maillard

According to our database1, Jean Maillard authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Privacy-Aware Sign Language Translation at Scale.
CoRR, 2024

2023
Seamless: Multilingual Expressive and Streaming Speech Translation.
CoRR, 2023

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation.
CoRR, 2023

Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Toxicity in Multilingual Machine Translation at Scale.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Language-Aware Multilingual Machine Translation with Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
No Language Left Behind: Scaling Human-Centered Machine Translation.
CoRR, 2022

Text normalization for endangered languages: the case of Ligurian.
CoRR, 2022

Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages.
Proceedings of the Seventh Conference on Machine Translation, 2022

OCR Improves Machine Translation for Low-Resource Languages.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
KILT: a Benchmark for Knowledge Intensive Language Tasks.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multi-Task Retrieval for Knowledge-Intensive Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Decoding Brain Activity Associated with Literal and Metaphoric Sentence Comprehension using Distributional Semantic Models.
Trans. Assoc. Comput. Linguistics, 2020

Conversational Semantic Parsing.
CoRR, 2020

Conversational Semantic Parsing.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Machine learning methods for vector-based compositional semantics.
PhD thesis, 2019

Jointly learning sentence embeddings and syntax with unsupervised Tree-LSTMs.
Nat. Lang. Eng., 2019

Decoding Affirmative and Negated Action-Related Sentences in the Brain with Distributional Semantic Models.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Modeling Affirmative and Negated Action Processing in the Brain with Lexical and Compositional Semantic Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Latent Tree Learning with Differentiable Parsers: Shift-Reduce Parsing and Chart Parsing.
CoRR, 2018

2016
RELPRON: A Relative Clause Evaluation Data Set for Compositional Distributional Semantics.
Comput. Linguistics, 2016

Black Holes and White Rabbits: Metaphor Identification with Visual Features.
Proceedings of the NAACL HLT 2016, 2016

2015
Learning Adjective Meanings with a Tensor-Based Skip-Gram Model.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015


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