research
∙
09/05/2023
Automating Behavioral Testing in Machine Translation
Behavioral testing in NLP allows fine-grained evaluation of systems by e...
share
research
∙
12/20/2022
Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data
Self-training has been shown to be helpful in addressing data scarcity f...
research
∙
04/11/2022
End-to-End Speech Translation for Code Switched Speech
Code switching (CS) refers to the phenomenon of interchangeably using wo...
research
∙
01/22/2021
Streaming Models for Joint Speech Recognition and Translation
Using end-to-end models for speech translation (ST) has increasingly bee...
research
∙
07/24/2020
Consistent Transcription and Translation of Speech
The conventional paradigm in speech translation starts with a speech rec...
research
∙
05/28/2020
Variational Neural Machine Translation with Normalizing Flows
Variational Neural Machine Translation (VNMT) is an attractive framework...
research
∙
04/14/2020
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
Over its three decade history, speech translation has experienced severa...
research
∙
03/22/2020
Low Latency ASR for Simultaneous Speech Translation
User studies have shown that reducing the latency of our simultaneous le...
research
∙
06/04/2019
Self-Attentional Models for Lattice Inputs
Lattices are an efficient and effective method to encode ambiguity of up...
research
∙
06/04/2019
Exploring Phoneme-Level Speech Representations for End-to-End Speech Translation
Previous work on end-to-end translation from speech has primarily used f...
research
∙
06/03/2019
Fluent Translations from Disfluent Speech in End-to-End Speech Translation
Spoken language translation applications for speech suffer due to conver...
research
∙
04/15/2019
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
Speech translation has traditionally been approached through cascaded mo...
research
∙
08/25/2018
Paraphrases as Foreign Languages in Multilingual Neural Machine Translation
Using paraphrases, the expression of the same semantic meaning in differ...
research
∙
08/01/2018
Low-Latency Neural Speech Translation
Through the development of neural machine translation, the quality of ma...
research
∙
04/21/2018
Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation
We work on translation from rich-resource languages to low-resource lang...
research
∙
03/26/2018
Self-Attentional Acoustic Models
Self-attention is a method of encoding sequences of vectors by relating ...
research
∙
03/01/2018
XNMT: The eXtensible Neural Machine Translation Toolkit
This paper describes XNMT, the eXtensible Neural Machine Translation too...
research
∙
09/15/2017
Transcribing Against Time
We investigate the problem of manually correcting errors from an automat...
research
∙
08/15/2017
Comparison of Decoding Strategies for CTC Acoustic Models
Connectionist Temporal Classification has recently attracted a lot of in...
research
∙
04/03/2017