1 code implementation • NAACL (AmericasNLP) 2021 • Robert Pugh, Francis Tyers
We describe experiments with character-based language modeling for written variants of Nahuatl.
no code implementations • LREC 2022 • Robert Pugh, Marivel Huerta Mendez, Mitsuya Sasaki, Francis Tyers
We present a morpho-syntactically-annotated corpus of Western Sierra Puebla Nahuatl that conforms to the annotation guidelines of the Universal Dependencies project.
no code implementations • WS 2019 • Brian Riordan, Michael Flor, Robert Pugh
Character-based representations in neural models have been claimed to be a tool to overcome spelling variation in in word token-based input.
no code implementations • WS 2018 • Vikram Ramanarayanan, Robert Pugh
We examine the efficacy of various feature{--}learner combinations for language identification in different types of text-based code-switched interactions {--} human-human dialog, human-machine dialog as well as monolog {--} at both the token and turn levels.
no code implementations • WS 2017 • Shervin Malmasi, Keelan Evanini, Aoife Cahill, Joel Tetreault, Robert Pugh, Christopher Hamill, Diane Napolitano, Yao Qian
We believe this makes for a more interesting shared task while building on the methods and results from the previous two shared tasks.