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02/28/2023
Are Character-level Translations Worth the Wait? An Extensive Comparison of Character- and Subword-level Models for Machine Translation
Pretrained large character-level language models have been recently revi...
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12/02/2022
Subword-Delimited Downsampling for Better Character-Level Translation
Subword-level models have been the dominant paradigm in NLP. However, ch...
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05/27/2022
Patching Leaks in the Charformer for Efficient Character-Level Generation
Character-based representations have important advantages over subword-b...
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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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05/10/2022
The Importance of Context in Very Low Resource Language Modeling
This paper investigates very low resource language model pretraining, wh...
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09/24/2021
Unsupervised Translation of German–Lower Sorbian: Exploring Training and Novel Transfer Methods on a Low-Resource Language
This paper describes the methods behind the systems submitted by the Uni...
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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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12/19/2019
BERTje: A Dutch BERT Model
The transformer-based pre-trained language model BERT has helped to impr...
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10/10/2017
MoNoise: Modeling Noise Using a Modular Normalization System
We propose MoNoise: a normalization model focused on generalizability an...
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03/30/2016
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
We present an approach to learning multi-sense word embeddings relying b...
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08/31/2015
