Elijah Rippeth
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View article: PyMarian: Fast Neural Machine Translation and Evaluation in Python
PyMarian: Fast Neural Machine Translation and Evaluation in Python Open
The deep learning language of choice these days is Python; measured by factors such as available libraries and technical support, it is hard to beat. At the same time, software written in lower-level programming languages like C++ retain a…
View article: Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context
Improving Word Sense Disambiguation in Neural Machine Translation with Salient Document Context Open
Lexical ambiguity is a challenging and pervasive problem in machine translation (\mt). We introduce a simple and scalable approach to resolve translation ambiguity by incorporating a small amount of extra-sentential context in neural \mt. …
View article: FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN
FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN Open
Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, Luisa Bentivogli, Ondřej Bojar, Claudia Borg, Marine Carpuat, Roldano Cattoni, Mauro Cettolo, Mingda Chen, William Chen, Khalid Choukri, Alexandra Chronopoulou, Anna Currey, Thierry D…
View article: Additive Interventions Yield Robust Multi-Domain Machine Translation Models
Additive Interventions Yield Robust Multi-Domain Machine Translation Models Open
Additive interventions are a recently-proposed mechanism for controlling target-side attributes in neural machine translation. In contrast to tag-based approaches which manipulate the raw source sequence, interventions work by directly mod…
View article: Controlling Translation Formality Using Pre-trained Multilingual Language Models
Controlling Translation Formality Using Pre-trained Multilingual Language Models Open
This paper describes the University of Maryland's submission to the Special Task on Formality Control for Spoken Language Translation at \iwslt, which evaluates translation from English into 6 languages with diverse grammatical formality m…
View article: Controlling Translation Formality Using Pre-trained Multilingual Language Models
Controlling Translation Formality Using Pre-trained Multilingual Language Models Open
This paper describes the University of Maryland’s submission to the Special Task on Formality Control for Spoken Language Translation at IWSLT, which evaluates translation from English into 6 languages with diverse grammatical formality ma…