Fetching the paper…
Reading the bibliography…
We present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
Leveraging study of robustness and portability of spoken language understanding systems across languages and domains: the PORTMEDIA corpora
Fabrice Lefèvre, Djamel Mostefa, Laurent Besacier, Yannick Estève, Matthieu Quignard, Nathalie Camelin, Benoît Favre, Bassam Jabaian, and Lina Maria Rojas-Barahona · 2012
Earlier work this paper cites.
Alice Coucke, Alaa Saade, Adrien Ball, Théodore Bluche, Alexandre Caulier, David Leroy, Clément Doumouro, Thibault Gisselbrecht, Francesco Caltagirone, Thibaut Lavril, Maël Primet, and Joseph Dureau · 2018
Earlier work this paper cites.
MuST-C: a Multilingual Speech Translation Corpus
Mattia A. Di Gangi, Roldano Cattoni, Luisa Bentivogli, Matteo Negri, and Marco Turchi · 2019
Earlier work this paper cites.
Common voice: A massively-multilingual speech corpus
Rosana Ardila, Megan Branson, Kelly Davis, Michael Kohler, Josh Meyer, Michael Henretty, Reuben Morais, Lindsay Saunders, Francis Tyers, and Gregor Weber · 2020
Earlier work this paper cites.
wav2vec 2.0: A framework for self-supervised learning of speech representations
Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli · 2020
Earlier work this paper cites.
SLURP: A spoken language understanding resource package
Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, and Verena Rieser · 2020
Earlier work this paper cites.
Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2020
Earlier work this paper cites.
Europarl-st: A multilingual corpus for speech translation of parliamentary debates
Javier Iranzo-Sánchez, Joan Albert Silvestre-Cerdà, Javier Jorge, Nahuel Roselló, Adrià Giménez, Albert Sanchis, Jorge Civera, and Alfons Juan · 2020
Cited alongside, same era.
MLQA: Evaluating cross-lingual extractive question answering
Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, and Holger Schwenk · 2020
Cited alongside, same era.
Mls: A large-scale multilingual dataset for speech research
Vineel Pratap, Qiantong Xu, Anuroop Sriram, Gabriel Synnaeve, and Ronan Collobert · 2020
Cited alongside, same era.
Covost 2: A massively multilingual speech-to-text translation corpus
Changhan Wang, Anne Wu, and Juan Miguel Pino · 2020
Cited alongside, same era.
End-to-end slot alignment and recognition for cross-lingual NLU
Weijia Xu, Batool Haider, and Saab Mansour · 2020
Cited alongside, same era.
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel · 2021
Later among the works it cites.
Fleurs: Few-shot learning evaluation of universal representations of speech
Alexis Conneau, Min Ma, Simran Khanuja, Yu Zhang, Vera Axelrod, Siddharth Dalmia, Jason Riesa, Clara Rivera, and Ankur Bapna · 2023
Later among the works it cites.
MASSIVE: A 1M-example multilingual natural language understanding dataset with 51 typologically-diverse languages
Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur, and Prem Natarajan · 2023
Later among the works it cites.
ITALIC: An Italian Intent Classification Dataset
Alkis Koudounas, Moreno La Quatra, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, and Elena Baralis · 2023
Later among the works it cites.
Multi3NLU++: A multilingual, multi-intent, multi-domain dataset for natural language understanding in task-oriented dialogue
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
MaSS: A large and clean multilingual corpus of sentence-aligned spoken utterances extracted from the Bible
Marcely Zanon Boito, William Havard, Mahault Garnerin, Éric Le Ferrand, and Laurent Besacier · 2020
Cited alongside, same era.
Hubert: Self-supervised speech representation learning by masked prediction of hidden units
Wei-Ning Hsu, Benjamin Bolte, Yao-Hung Hubert Tsai, Kushal Lakhotia, Ruslan Salakhutdinov, and Abdelrahman Mohamed · 2021
Cited alongside, same era.
The Multilingual TEDx Corpus for Speech Recognition and Translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni, Matteo Negri, Marco Turchi, Douglas W. Oard, and Matt Post · 2021
Cited alongside, same era.
Nikita Moghe, Evgeniia Razumovskaia, Liane Guillou, Ivan Vulić, Anna Korhonen, and Alexandra Birch · 2023
Later among the works it cites.
Robust speech recognition via large-scale weak supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever · 2023
Later among the works it cites.
Whislu: End-to-end spoken language understanding with whisper
Minghan Wang, Yinglu Li, Jiaxin Guo, Xiaosong Qiao, Zongyao Li, Hengchao Shang, Daimeng Wei, Shimin Tao, Min Zhang, and Hao Yang · 2023
Later among the works it cites.