3 citations · 3 across the 7 of their papers we have counts for
7 papers
Bidirectional Chinese and English Passive Sentences Dataset for Machine Translation
Xinyue Ma, Pol Pastells, Mireia Farrús +1
Machine Translation (MT) evaluation has gone beyond metrics, towards more specific linguistic phenomena. Regarding English-Chinese language pairs, passive sentences are constructed…
Beyond Binary Classification: Detecting Fine-Grained Sexism in Social Media Videos
Laura De Grazia, Danae Sánchez Villegas, Desmond Elliott +2
Online sexism appears in various forms, which makes its detection challenging. Although automated tools can enhance the identification of sexist content, they are often restricted…
Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures
Xinyue Ma, Pol Pastells, Mireia Farrús +1
Semantic prosody is a collocational meaning formed through the co-occurrence of a linguistic unit and a consistent series of collocates, which should be treated separately from sem…
MuSeD: A Multimodal Spanish Dataset for Sexism Detection in Social Media Videos
Laura De Grazia, Pol Pastells, Mauro Vázquez Chas +4
Sexism is generally defined as prejudice and discrimination based on sex or gender, affecting every sector of society, from social institutions to relationships and individual beha…
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara +2
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy sys…
Voice Quality and Pitch Features in Transformer-Based Speech Recognition
Guillermo Cámbara, Jordi Luque, Mireia Farrús
Jitter and shimmer measurements have shown to be carriers of voice quality and prosodic information which enhance the performance of tasks like speaker recognition, diarization or…
Influence of ASR and Language Model on Alzheimer's Disease Detection
Joan Codina-Filbà, Guillermo Cámbara, Jordi Luque +1
Alzheimer's Disease is the most common form of dementia. Automatic detection from speech could help to identify symptoms at early stages, so that preventive actions can be carried…