Finite-state transducers in language and speech processing
Computational Linguistics
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
OpenFst: a general and efficient weighted finite-state transducer library
CIAA'07 Proceedings of the 12th international conference on Implementation and application of automata
A rational model of eye movement control in reading
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
PEGASUS: a policy search method for large MDPs and POMDPs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
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Some of the most robust effects of linguistic variables on eye movements in reading are those of word length. Their leading explanation states that they are caused by visual acuity limitations on word recognition. However, Bicknell (2011) presented data showing that a model of eye movement control in reading that includes visual acuity limitations and models the process of word identification from visual input (Bicknell & Levy, 2010) does not produce humanlike word length effects, providing evidence against the visual acuity account. Here, we argue that uncertainty about word length in early word identification can drive word length effects. We present an extension of Bicknell and Levy's model that incorporates word length uncertainty, and show that it produces more humanlike word length effects.