5 papers
Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans
Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney
Whether neural networks can serve as cognitive models of morphological learning remains an open question. Recent work has shown that encoder-decoder models can acquire irregular pa…
Prompt-to-Product: Generative Assembly via Bimanual Manipulation
Ruixuan Liu, Philip Huang, Ava Pun +8
Creating assembly products demands significant manual effort and expert knowledge in 1) designing the assembly and 2) constructing the product. This paper introduces Prompt-to-Prod…
Modeling Probabilistic Reduction using Information Theory and Naive Discriminative Learning
Anna Stein, Kevin Tang
This study compares probabilistic predictors based on information theory with Naive Discriminative Learning (NDL) predictors in modeling acoustic word duration, focusing on probabi…
Playing with Voices: Tabletop Role-Playing Game Recordings as a Diarization Challenge
Lian Remme, Kevin Tang
This paper provides a proof of concept that audio of tabletop role-playing games (TTRPG) could serve as a challenge for diarization systems. TTRPGs are carried out mostly by conver…
Analysis of LLM as a grammatical feature tagger for African American English
Rahul Porwal, Alice Rozet, Pryce Houck +3
African American English (AAE) presents unique challenges in natural language processing (NLP). This research systematically compares the performance of available NLP models--rule-…