1 code implementation • Findings (ACL) 2022 • Xinjian Li, Florian Metze, David Mortensen, Shinji Watanabe, Alan Black
Grapheme-to-Phoneme (G2P) has many applications in NLP and speech fields.
1 code implementation • 12 Oct 2021 • David Francis, Ella Rabinovich, Farhan Samir, David Mortensen, Suzanne Stevenson
Specifically, we propose a variety of psycholinguistic factors -- semantic, distributional, and phonological -- that we hypothesize are predictive of lexical decline, in which words greatly decrease in frequency over time.
no code implementations • 4 Apr 2021 • Kathleen Siminyu, Xinjian Li, Antonios Anastasopoulos, David Mortensen, Michael R. Marlo, Graham Neubig
Models pre-trained on multiple languages have shown significant promise for improving speech recognition, particularly for low-resource languages.
no code implementations • NAACL 2016 • Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W. black, Lori Levin, Chris Dyer
We introduce polyglot language models, recurrent neural network models trained to predict symbol sequences in many different languages using shared representations of symbols and conditioning on typological information about the language to be predicted.