40 citations · 107 across the 6 of their papers we have counts for
4 papers · 1 filter
Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)
Takashi Morita, Hiroki Koda
In this study, we reported our exploration of Text-To-Speech without Text (TTS without T) in the Zero Resource Speech Challenge 2020, in which participants proposed an end-to-end,…
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell, Ethan Wilcox, Takashi Morita +3
We deploy the methods of controlled psycholinguistic experimentation to shed light on the extent to which the behavior of neural network language models reflects incremental repres…
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Richard Futrell, Ethan Wilcox, Takashi Morita +1
Recurrent neural networks (RNNs) are the state of the art in sequence modeling for natural language. However, it remains poorly understood what grammatical characteristics of natur…
What do RNN Language Models Learn about Filler-Gap Dependencies?
Ethan Wilcox, Roger Levy, Takashi Morita +1
RNN language models have achieved state-of-the-art perplexity results and have proven useful in a suite of NLP tasks, but it is as yet unclear what syntactic generalizations they l…