b'Matteo Negri'

research

∙ 05/19/2023

AlignAtt: Using Attention-based Audio-Translation Alignments as a Guide for Simultaneous Speech Translation

Attention is the core mechanism of today's most used architectures for n...

15 Sara Papi, et al. ∙

research

∙ 03/29/2023

The Hidden-Manifold Hopfield Model and a learning phase transition

The Hopfield model has a long-standing tradition in statistical physics,...

11 Matteo Negri, et al. ∙

research

∙ 03/28/2023

Reproducibility is Nothing without Correctness: The Importance of Testing Code in NLP

Despite its pivotal role in research experiments, code correctness is of...

30 Sara Papi, et al. ∙

research

∙ 01/24/2023

From Inclusive Language to Gender-Neutral Machine Translation

Gender inclusivity in language has become a central topic of debate and ...

0 Andrea Piergentili, et al. ∙

research

∙ 12/15/2022

Attention as a guide for Simultaneous Speech Translation

The study of the attention mechanism has sparked interest in many fields...

14 Sara Papi, et al. ∙

research

∙ 10/21/2022

Joint Speech Translation and Named Entity Recognition

Modern automatic translation systems aim at place the human at the cente...

8 Marco Gaido, et al. ∙

research

∙ 10/10/2022

Multi-mode fiber reservoir computing overcomes shallow neural networks classifiers

In disordered photonics, one typically tries to characterize the optical...

0 Daniele Ancora, et al. ∙

research

∙ 09/27/2022

Direct Speech Translation for Automatic Subtitling

Automatic subtitling is the task of automatically translating the speech...

15 Sara Papi, et al. ∙

research

∙ 09/21/2022

Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora

Speech translation for subtitling (SubST) is the task of automatically t...

6 Sara Papi, et al. ∙

research

∙ 06/12/2022

Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation

Simultaneous speech translation (SimulST) systems aim at generating thei...

21 Sara Papi, et al. ∙

research

∙ 05/13/2022

Who Are We Talking About? Handling Person Names in Speech Translation

Recent work has shown that systems for speech translation (ST) – similar...

4 Marco Gaido, et al. ∙

research

∙ 05/05/2022

Efficient yet Competitive Speech Translation: FBK@IWSLT2022

The primary goal of this FBK's systems submission to the IWSLT 2022 offl...

22 Marco Gaido, et al. ∙

research

∙ 04/08/2022

Does Simultaneous Speech Translation need Simultaneous Models?

In simultaneous speech translation (SimulST), finding the best trade-off...

5 Sara Papi, et al. ∙

research

∙ 03/18/2022

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Gender bias is largely recognized as a problematic phenomenon affecting ...

2 Beatrice Savoldi, et al. ∙

research

∙ 10/31/2021

Visualization: the missing factor in Simultaneous Speech Translation

Simultaneous speech translation (SimulST) is the task in which output ge...

6 Sara Papi, et al. ∙

research

∙ 09/15/2021

Is "moby dick" a Whale or a Bird? Named Entities and Terminology in Speech Translation

Automatic translation systems are known to struggle with rare words. Amo...

16 Marco Gaido, et al. ∙

research

∙ 09/09/2021

Speechformer: Reducing Information Loss in Direct Speech Translation

Transformer-based models have gained increasing popularity achieving sta...

6 Sara Papi, et al. ∙

research

∙ 07/19/2021

Simultaneous Speech Translation for Live Subtitling: from Delay to Display

With the increased audiovisualisation of communication, the need for liv...

25 Alina Karakanta, et al. ∙

research

∙ 07/13/2021

Between Flexibility and Consistency: Joint Generation of Captions and Subtitles

Speech translation (ST) has lately received growing interest for the gen...

4 Alina Karakanta, et al. ∙

research

∙ 06/23/2021

Dealing with training and test segmentation mismatch: FBK@IWSLT2021

This paper describes FBK's system submission to the IWSLT 2021 Offline S...

12 Sara Papi, et al. ∙

research

∙ 06/02/2021

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Five years after the first published proofs of concept, direct approache...

7 Luisa Bentivogli, et al. ∙

research

∙ 05/28/2021

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Having recognized gender bias as a major issue affecting current transla...

8 Marco Gaido, et al. ∙

research

∙ 04/23/2021

Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

The audio segmentation mismatch between training data and those seen at ...

3 Marco Gaido, et al. ∙

research

∙ 04/13/2021

Gender Bias in Machine Translation

Machine translation (MT) technology has facilitated our daily tasks by p...

14 Beatrice Savoldi, et al. ∙

research

∙ 03/10/2021

Self-Learning for Zero Shot Neural Machine Translation

Neural Machine Translation (NMT) approaches employing monolingual data a...

19 Surafel M. Lakew, et al. ∙

research

∙ 02/02/2021

The Multilingual TEDx Corpus for Speech Recognition and Translation

We present the Multilingual TEDx corpus, built to support speech recogni...

7 Elizabeth Salesky, et al. ∙

research

∙ 02/02/2021

CTC-based Compression for Direct Speech Translation

Previous studies demonstrated that a dynamic phone-informed compression ...

2 Marco Gaido, et al. ∙

research

∙ 12/09/2020

On Knowledge Distillation for Direct Speech Translation

Direct speech translation (ST) has shown to be a complex task requiring ...

1 Marco Gaido, et al. ∙

research

∙ 12/09/2020

Breeding Gender-aware Direct Speech Translation Systems

In automatic speech translation (ST), traditional cascade approaches inv...

3 Marco Gaido, et al. ∙

research

∙ 10/27/2020

Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures

We analyze the connection between minimizers with good generalizing prop...

0 Carlo Baldassi, et al. ∙

research

∙ 09/10/2020

On Target Segmentation for Direct Speech Translation

Recent studies on direct speech translation show continuous improvements...

0 Mattia Antonino Di Gangi, et al. ∙

research

∙ 08/05/2020

Contextualized Translation of Automatically Segmented Speech

Direct speech-to-text translation (ST) models are usually trained on cor...

0 Marco Gaido, et al. ∙

research

∙ 06/14/2020

Entropic gradient descent algorithms and wide flat minima

The properties of flat minima in the empirical risk landscape of neural ...

7 Fabrizio Pittorino, et al. ∙

research

∙ 06/10/2020

Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus

Translating from languages without productive grammatical gender like En...

0 Luisa Bentivogli, et al. ∙

research

∙ 06/04/2020

End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020

This paper describes FBK's participation in the IWSLT 2020 offline speec...

0 Marco Gaido, et al. ∙

research

∙ 06/01/2020

Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?

Subtitling is becoming increasingly important for disseminating informat...

0 Alina Karakanta, et al. ∙

research

∙ 03/31/2020

Low Resource Neural Machine Translation: A Benchmark for Five African Languages

Recent advents in Neural Machine Translation (NMT) have shown improvemen...

0 Surafel M. Lakew, et al. ∙

research

∙ 02/25/2020

MuST-Cinema: a Speech-to-Subtitles corpus

Growing needs in localising audiovisual content in multiple languages th...

0 Alina Karakanta, et al. ∙

research

∙ 10/30/2019

Adapting Multilingual Neural Machine Translation to Unseen Languages

Multilingual Neural Machine Translation (MNMT) for low-resource language...

0 Surafel M. Lakew, et al. ∙

research

∙ 10/23/2019

Instance-Based Model Adaptation For Direct Speech Translation

Despite recent technology advancements, the effectiveness of neural appr...

0 Mattia Antonino Di Gangi, et al. ∙

research

∙ 10/08/2019

One-To-Many Multilingual End-to-end Speech Translation

Nowadays, training end-to-end neural models for spoken language translat...

0 Mattia Antonino Di Gangi, et al. ∙

research

∙ 10/01/2019

Machine Translation for Machines: the Sentiment Classification Use Case

We propose a neural machine translation (NMT) approach that, instead of ...

0 Amirhossein Tebbifakhr, et al. ∙

research

∙ 09/29/2019

Natural representation of composite data with replicated autoencoders

Generative processes in biology and other fields often produce data that...

0 Matteo Negri, et al. ∙

research

∙ 09/16/2019

Multilingual Neural Machine Translation for Zero-Resource Languages

In recent years, Neural Machine Translation (NMT) has been shown to be m...

0 Surafel M. Lakew, et al. ∙

research

∙ 07/23/2019

Γ-convergence for high order phase field fracture: continuum and isogeometric formulations

We consider second order phase field functionals, in the continuum setti...

0 Matteo Negri, et al. ∙

research

∙ 11/04/2018

Improving Zero-Shot Translation of Low-Resource Languages

Recent work on multilingual neural machine translation reported competit...

0 Surafel M. Lakew, et al. ∙

research

∙ 11/03/2018

Transfer Learning in Multilingual Neural Machine Translation with Dynamic Vocabulary

We propose a method to transfer knowledge across neural machine translat...

0 Surafel M. Lakew, et al. ∙

research

∙ 10/16/2018

Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018

This paper describes FBK's submission to the end-to-end English-German s...

0 Mattia Antonino Di Gangi, et al. ∙

research

∙ 03/20/2018

eSCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing

Training models for the automatic correction of machine-translated text ...

0 Matteo Negri, et al. ∙

research

∙ 07/31/2017

Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English

The necessity of using a fixed-size word vocabulary in order to control ...

0 Duygu Ataman, et al. ∙

Matteo Negri

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