Introducing QuBERT: A Large Monolingual Corpus and BERT Model for Southern Quechua

no code implementations • DeepLo 2022 • Rodolfo Zevallos, John Ortega, William Chen, Richard Castro, Núria Bel, Cesar Toshio, Renzo Venturas, Hilario Aradiel and Nelsi Melgarejo

t

Huqariq: A Multilingual Speech Corpus of Native Languages of Peru forSpeech Recognition

no code implementations • LREC 2022 • Rodolfo Zevallos, Luis Camacho, Nelsi Melgarejo

Huqariq includes four native languages of Peru, and it is expected that by the year 2022, it can reach up to 20 native languages out of the 48 native languages in Peru.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

WordNet-QU: Development of a Lexical Database for Quechua Varieties

no code implementations • COLING 2022 • Nelsi Melgarejo, Rodolfo Zevallos, Hector Gomez, John E. Ortega

In the effort to minimize the risk of extinction of a language, linguistic resources are fundamental.

The First Multilingual Model For The Detection of Suicide Texts

no code implementations • 20 Dec 2024 • Rodolfo Zevallos, Annika Schoene, John E. Ortega

Suicidal ideation is a serious health problem affecting millions of people worldwide.

Cross-Lingual Transfer Diversity +1

The Role of Handling Attributive Nouns in Improving Chinese-To-English Machine Translation

no code implementations • 18 Dec 2024 • Lisa Wang, Adam Meyers, John E. Ortega, Rodolfo Zevallos

Translating between languages with drastically different grammatical conventions poses challenges, not just for human interpreters but also for machine translation systems.

Machine Translation Translation

Findings of the IWSLT 2024 Evaluation Campaign

no code implementations • 7 Nov 2024 • Ibrahim Said Ahmad, Antonios Anastasopoulos, Ondřej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, William Chen, Qianqian Dong, Marcello Federico, Barry Haddow, Dávid Javorský, Mateusz Krubiński, Tsz Kin Lam, Xutai Ma, Prashant Mathur, Evgeny Matusov, Chandresh Maurya, John McCrae, Kenton Murray, Satoshi Nakamura, Matteo Negri, Jan Niehues, Xing Niu, Atul Kr. Ojha, John Ortega, Sara Papi, Peter Polák, Adam Pospíšil, Pavel Pecina, Elizabeth Salesky, Nivedita Sethiya, Balaram Sarkar, Jiatong Shi, Claytone Sikasote, Matthias Sperber, Sebastian Stüker, Katsuhito Sudoh, Brian Thompson, Marco Turchi, Alex Waibel, Shinji Watanabe, Patrick Wilken, Petr Zemánek, Rodolfo Zevallos

This paper reports on the shared tasks organized by the 21st IWSLT Conference.

Speech-to-Speech Translation Translation

Evaluating Self-Supervised Speech Representations for Indigenous American Languages

no code implementations • 5 Oct 2023 • Chih-Chen Chen, William Chen, Rodolfo Zevallos, John E. Ortega

The application of self-supervision to speech representation learning has garnered significant interest in recent years, due to its scalability to large amounts of unlabeled data.

Representation Learning Speech Representation Learning

Data Augmentation for Low-Resource Quechua ASR Improvement

no code implementations • 14 Jul 2022 • Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara, Mireia Farrús, Jordi Luque

In this paper we describe our data augmentation approach to improve the results of ASR models for low-resource and agglutinative languages.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition

no code implementations • 12 Jul 2022 • Rodolfo Zevallos, Luis Camacho, Nelsi Melgarejo

Huqariq includes four native languages of Peru, and it is expected that by the end of the year 2022, it can reach up to 20 native languages out of the 48 native languages in Peru.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish

2 code implementations • EURALI (LREC) 2022 • Alp Öktem, Rodolfo Zevallos, Yasmin Moslem, Güneş Öztürk, Karen Şarhon

We develop machine translation and speech synthesis systems to complement the efforts of revitalizing Judeo-Spanish, the exiled language of Sephardic Jews, which survived for centuries, but now faces the threat of extinction in the digital age.

Machine Translation Speech Synthesis +3

Text-To-Speech Data Augmentation for Low Resource Speech Recognition

no code implementations • 1 Apr 2022 • Rodolfo Zevallos

In this research, an 8. 73% improvement in the word-error-rate (WER) of the ASR model is obtained using a combination of synthetic text and synthetic speech.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3