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Elizabeth Nielsen

2 accepted papers

2025

Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation

NAACL 2025short

Current machine translation (MT) systems for low-resource languages have a particular failure mode: When translating words in a given domain, they tend to confuse words within that domain. So, for example, “lion” might be translated as “alligator”, and “orange” might be rendered as “purple.” We prop…

Cited by 1SourcePDFScholar
2021

[RETRACTED] Prosodic segmentation for parsing spoken dialogue

ACL 2021long

Parsing spoken dialogue poses unique difficulties, including disfluencies and unmarked boundaries between sentence-like units. Previous work has shown that prosody can help with parsing disfluent speech (Tran et al. 2018), but has assumed that the input to the parser is already segmented into senten…