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06/02/2023
Speech Translation with Foundation Models and Optimal Transport: UPC at IWSLT23
This paper describes the submission of the UPC Machine Translation group...
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12/19/2022
SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Data scarcity is one of the main issues with the end-to-end approach for...
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10/28/2022
Efficient Speech Translation with Dynamic Latent Perceivers
Transformers have been the dominant architecture for Speech Translation ...
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02/09/2022
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Speech translation models are unable to directly process long audios, li...
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05/10/2021
UPC's Speech Translation System for IWSLT 2021
This paper describes the submission to the IWSLT 2021 offline speech tra...
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02/17/2021
Sparsely Factored Neural Machine Translation
The standard approach to incorporate linguistic information to neural ma...
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11/02/2020
Enabling Zero-shot Multilingual Spoken Language Translation with Language-Specific Encoders and Decoders
Current end-to-end approaches to Spoken Language Translation (SLT) rely ...
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05/29/2020
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders
We propose a modular architecture of language-specific encoder-decoders ...
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04/14/2020
Multilingual Machine Translation: Closing the Gap between Shared and Language-specific Encoder-Decoders
State-of-the-art multilingual machine translation relies on a universal ...
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04/05/2020
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
The dominant language modeling paradigms handle text as a sequence of di...
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06/28/2019
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Multilingual Neural Machine Translation approaches are based on the use ...
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05/16/2019
Joint Source-Target Self Attention with Locality Constraints
The dominant neural machine translation models are based on the encoder-...
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05/15/2019
Towards Interlingua Neural Machine Translation
A common intermediate language representation or an interlingua is the h...
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10/15/2018
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation
Universal language representation is the holy grail in machine translati...
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07/14/2018
SAT encodings for sorting networks, single-exception sorting networks and ε-halvers
Sorting networks are oblivious sorting algorithms with many practical ap...
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06/01/2018
Joint Size and Depth Optimization of Sorting Networks
Sorting networks are oblivious sorting algorithms with many interesting ...
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07/24/2017
Character-level Intra Attention Network for Natural Language Inference
Natural language inference (NLI) is a central problem in language unders...
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03/02/2016
Character-based Neural Machine Translation
Neural Machine Translation (MT) has reached state-of-the-art results. Ho...
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01/25/2016
