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        <title>Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model</title>
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        <namePart type="given">Sepideh</namePart>
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            <namePart type="given">Emily</namePart>
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    <abstract>We present a variation of the incremental and memory-limited algorithm in (Sadeghi et al., 2017) for Bayesian cross-situational word learning 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.</abstract>
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%0 Conference Proceedings
%T Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model
%A Sadeghi, Sepideh
%A Scheutz, Matthias
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F sadeghi-scheutz-2018-sensitivity
%X We present a variation of the incremental and memory-limited algorithm in (Sadeghi et al., 2017) for Bayesian cross-situational word learning 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.
%U https://aclanthology.org/C18-1268
%P 3170-3180

Markdown (Informal)

[Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model](https://aclanthology.org/C18-1268) (Sadeghi & Scheutz, COLING 2018)

• Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model (Sadeghi & Scheutz, COLING 2018)

ACL

• Sepideh Sadeghi and Matthias Scheutz. 2018. Sensitivity to Input Order: Evaluation of an Incremental and Memory-Limited Bayesian Cross-Situational Word Learning Model. In Proceedings of the 27th International Conference on Computational Linguistics, pages 3170–3180, Santa Fe, New Mexico, USA. Association for Computational Linguistics.