43 citations · 58 across the 7 of their papers we have counts for
7 papers
UserLibri: A Dataset for ASR Personalization Using Only Text
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani +6
Personalization of speech models on mobile devices (on-device personalization) is an active area of research, but more often than not, mobile devices have more text-only data than…
Building Machine Translation Systems for the Next Thousand Languages
Ankur Bapna, Isaac Caswell, Julia Kreutzer +21
In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages. We describe results i…
Scaling Language Model Size in Cross-Device Federated Learning
Jae Hun Ro, Theresa Breiner, Lara McConnaughey +4
Most studies in cross-device federated learning focus on small models, due to the server-client communication and on-device computation bottlenecks. In this work, we leverage vario…
Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia
Tania Chakraborty, Manasa Prasad, Theresa Breiner +2
Pronunciation modeling is a key task for building speech technology in new languages, and while solid grapheme-to-phoneme (G2P) mapping systems exist, language coverage can stand t…
Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus
Isaac Caswell, Theresa Breiner, Daan van Esch +1
Large text corpora are increasingly important for a wide variety of Natural Language Processing (NLP) tasks, and automatic language identification (LangID) is a core technology nee…
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard
Daan van Esch, Elnaz Sarbar, Tamar Lucassen +6
This technical report describes our deep internationalization program for Gboard, the Google Keyboard. Today, Gboard supports 900+ language varieties across 70+ writing systems, an…
Automatic Keyboard Layout Design for Low-Resource Latin-Script Languages
Theresa Breiner, Chieu Nguyen, Daan van Esch +1
We present our approach to automatically designing and implementing keyboard layouts on mobile devices for typing low-resource languages written in the Latin script. For many speak…