@InProceedings{sadeghi2018coling,
author={Sepideh Sadeghi and Matthias Scheutz},
title={Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model},
booktitle={proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)},
year={2018},
link={https://hrilab.tufts.edu/publications/sadeghi2018coling.pdf},
projects = {osl,ccm},
topics = {sem,learn},
video = {},
image = {},
synopsis = {We present an incremental and memory-limited Bayesian cross-situational word learning model and evaluate the model in terms of its functional
performance and its sensitivity to input order. We show that the functional performance of our
sub-optimal model on corpus data is close to that of its optimal counterpart (Frank et al., 2009),
while only the sub-optimal model is capable of predicting the input order effects reported in
experimental studies.},
presentation={},
}

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