research
∙
09/20/2023
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Speech-to-Speech and Speech-to-Text translation are currently dynamic ar...
share
research
∙
09/06/2023
Gender-specific Machine Translation with Large Language Models
Decoder-only Large Language Models (LLMs) have demonstrated potential in...
research
∙
08/31/2023
The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages
Gender biases in language generation systems are challenging to mitigate...
research
∙
08/22/2023
SeamlessM4T-Massively Multilingual Multimodal Machine Translation
What does it take to create the Babel Fish, a tool that can help individ...
research
∙
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...
research
∙
05/22/2023
Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale
We introduce a multilingual extension of the HOLISTICBIAS dataset, the l...
research
∙
05/21/2023
Explaining How Transformers Use Context to Build Predictions
Language Generation Models produce words based on the previous context. ...
research
∙
05/19/2023
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation
Our proposed method, ReSeTOX (REdo SEarch if TOXic), addresses the issue...
research
∙
05/19/2023
HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation
Hallucinations in machine translation are translations that contain info...
research
∙
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...
research
∙
12/16/2022
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better
While the problem of hallucinations in neural machine translation has lo...
research
∙
12/16/2022
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric
End-to-End speech-to-speech translation (S2ST) is generally evaluated wi...
research
∙
10/28/2022
Efficient Speech Translation with Dynamic Latent Perceivers
Transformers have been the dominant architecture for Speech Translation ...
research
∙
10/06/2022
Toxicity in Multilingual Machine Translation at Scale
Machine Translation systems can produce different types of errors, some ...
research
∙
07/11/2022
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, m...
research
∙
05/23/2022
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer
In Neural Machine Translation (NMT), each token prediction is conditione...
research
∙
05/14/2022
Multiformer: A Head-Configurable Transformer-Based Model for Direct Speech Translation
Transformer-based models have been achieving state-of-the-art results in...
research
∙
04/19/2022
On the Locality of Attention in Direct Speech Translation
Transformers have achieved state-of-the-art results across multiple NLP ...
research
∙
03/08/2022
Measuring the Mixing of Contextual Information in the Transformer
The Transformer architecture aggregates input information through the se...
research
∙
02/12/2022
A multi-task semi-supervised framework for Text2Graph Graph2Text
The Artificial Intelligence industry regularly develops applications tha...
research
∙
02/09/2022
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Speech translation models are unable to directly process long audios, li...
research
∙
09/13/2021
Attention Weights in Transformer NMT Fail Aligning Words Between Sequences but Largely Explain Model Predictions
This work proposes an extensive analysis of the Transformer architecture...
research
∙
07/07/2021
Efficient Transformer for Direct Speech Translation
The advent of Transformer-based models has surpassed the barriers of tex...
research
∙
05/10/2021
UPC's Speech Translation System for IWSLT 2021
This paper describes the submission to the IWSLT 2021 offline speech tra...
research
∙
05/03/2021
Impact of Gender Debiased Word Embeddings in Language Modeling
Gender, race and social biases have recently been detected as evident ex...
research
∙
04/07/2021
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage a...
research
∙
02/17/2021
Sparsely Factored Neural Machine Translation
The standard approach to incorporate linguistic information to neural ma...
research
∙
12/24/2020
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Multilingual Neural Machine Translation architectures mainly differ in t...
research
∙
12/17/2020
Continual Lifelong Learning in Natural Language Processing: A Survey
Continual learning (CL) aims to enable information systems to learn from...
research
∙
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 ...
research
∙
10/27/2020
Evaluating Gender Bias in Speech Translation
The scientific community is more and more aware of the necessity to embr...
research
∙
05/29/2020
Training Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders
We propose a modular architecture of language-specific encoder-decoders ...
research
∙
05/27/2020
MT-Adapted Datasheets for Datasets: Template and Repository
In this report we are taking the standardized model proposed by Gebru et...
research
∙
05/20/2020
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources
In this work, we present an effective method for semantic specialization...
research
∙
04/17/2020
Enriching the Transformer with Linguistic and Semantic Factors for Low-Resource Machine Translation
Introducing factors, that is to say, word features such as linguistic in...
research
∙
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 ...
research
∙
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...
research
∙
02/21/2020
Refinement of Unsupervised Cross-Lingual Word Embeddings
Cross-lingual word embeddings aim to bridge the gap between high-resourc...
research
∙
12/10/2019
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
We introduce GeBioToolkit, a tool for extracting multilingual parallel c...
research
∙
08/03/2019
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
Although the problem of similar language translation has been an area of...
research
∙
07/01/2019
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
The main alternatives nowadays to deal with sequences are Recurrent Neur...
research
∙
06/28/2019
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Multilingual Neural Machine Translation approaches are based on the use ...
research
∙
05/16/2019
Joint Source-Target Self Attention with Locality Constraints
The dominant neural machine translation models are based on the encoder-...
research
∙
05/15/2019
Towards Interlingua Neural Machine Translation
A common intermediate language representation or an interlingua is the h...
research
∙
04/18/2019
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Gender bias is highly impacting natural language processing applications...
research
∙
01/10/2019
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques
Neural machine translation has significantly pushed forward the quality ...
research
∙
10/15/2018
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation
Universal language representation is the holy grail in machine translati...
research
∙
07/02/2018
A Neural Approach to Language Variety Translation
In this paper we present the first neural-based machine translation syst...
research
∙
03/19/2018
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
This paper describes the methodology followed to build a neural machine ...
research
∙
07/24/2017