no code implementations • 16 Jun 2023 • Sofoklis Kakouros, Juraj Šimko, Martti Vainio, Antti Suni
We explore how word surprisal extracted from large language models (LLMs) correlates with word prominence, a signal-based measure of the salience of a word in a given discourse.
no code implementations • 25 May 2023 • Martti Vainio, Antti Suni, Juraj Šimko, Sofoklis Kakouros
Parliamentary recordings provide a rich source of data for studying how politicians use speech to convey their messages and influence their audience.
1 code implementation • WS (NoDaLiDa) 2019 • Aarne Talman, Antti Suni, Hande Celikkanat, Sofoklis Kakouros, Jörg Tiedemann, Martti Vainio
In this paper we introduce a new natural language processing dataset and benchmark for predicting prosodic prominence from written text.
Ranked #1 on Prosody Prediction on Helsinki Prosody Corpus
no code implementations • 7 Oct 2015 • Antti Suni, Daniel Aalto, Martti Vainio
However, there are no representation schemes that would provide for both estimating and modelling them in a unified fashion.