ISCA Archive Interspeech 2017
ISCA Archive Interspeech 2017

The Recognition of Compounds: A Computational Account

L. ten Bosch, L. Boves, M. Ernestus

This paper investigates the processes in comprehending spoken noun-noun compounds, using data from the BALDEY database. BALDEY contains lexicality judgments and reaction times (RTs) for Dutch stimuli for which also linguistic information is included. Two different approaches are combined. The first is based on regression by Dynamic Survival Analysis, which models decisions and RTs as a consequence of the fact that a cumulative density function exceeds some threshold. The parameters of that function are estimated from the observed RT data. The second approach is based on DIANA, a process-oriented computational model of human word comprehension, which simulates the comprehension process with the acoustic stimulus as input. DIANA gives the identity and the number of the word candidates that are activated at each 10 ms time step.

Both approaches show how the processes involved in comprehending compounds change during a stimulus. Survival Analysis shows that the impact of word duration varies during the course of a stimulus. The density of word and non-word hypotheses in DIANA shows a corresponding pattern with different regimes. We show how the approaches complement each other, and discuss additional ways in which data and process models can be combined.

doi: 10.21437/Interspeech.2017-1048

Cite as: Bosch, L.t., Boves, L., Ernestus, M. (2017) The Recognition of Compounds: A Computational Account. Proc. Interspeech 2017, 1158-1162, doi: 10.21437/Interspeech.2017-1048

  author={L. ten Bosch and L. Boves and M. Ernestus},
  title={{The Recognition of Compounds: A Computational Account}},
  booktitle={Proc. Interspeech 2017},