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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Connectionist Learning to Read Aloud and Correlation to Human Data Ivelin Stoianov; Laurie Stowe; John Nerbonne In: http://www.let.rug.nl/~stoianov/ps/CS99_Reading_Stoianov_Stowe_Nerbonne.ps.gz (1999) BASE Show details 2 Connectionist learning to read aloud and correlation to human data Ivelin Stoianov; Laurie Stowe; John Nerbonne In: http://odur.let.rug.nl/~nerbonne/papers/cogsci99.pdf (1999) BASE Show details 3 Connectionist Grapheme to Phoneme Conversion: Exploring Distributed Representations Ivelin Stoianov And; Ivelin Stoianov; John Nerbonne In: http://www-uilots.let.uu.nl/publications/clin1999/Pap/stoianov.ps (1999) BASE Show details 4 Connectionist Learning of Natural Language Lexical Phonotactics Ivelin Stoianov; John Nerbonne In: http://www.let.rug.nl/~stoianov/ps/ml.conn.learn.nl.phonotactics.ps.gz (1998) BASE Show details 5 Exploring Phonotactics with Simple Recurrent Networks Ivelin Stoianov; John Nerbonne In: http://www.let.rug.nl/~nerbonne/papers/clin98srn.ps (1998) BASE Show details 6 Modelling the phonotactic structure of natural language words with Simple Recurrent Networks Ivelin Stoianov; John Nerbonne; Huub Bouma In: http://grid.let.rug.nl/~nerbonne/papers/clin97.Stoianov.Nerbonne.Bouma.PhonotacticsLearning.pdf (1998) BASE Show details 7 Modelling the phonotactic structure of natural language words with Simple Recurrent Networks Ivelin Stoianov; Huub Bouma; John Nerbonne In: http://grid.let.rug.nl/~stoianov/ps/dutch.phonot.poster97.ps.gz (1997) BASE Show details 8 Modelling the phonotactic structure of natural language words with Simple Recurrent Networks Ivelin Stoianov; John Nerbonne; Huub Bouma In: http://www.let.rug.nl/~stoianov/ps/clin97.Stoianov.Nerbonne.Bouma.PhonotacticsLearning.ps.gz (1997) Abstract: Simple Recurrent Networks (SRN) are Neural Network (connectionist) models able to process natural language. Phonotactics concerns the order of symbols in words. We continued an earlier unsuccessful trial to model the phonotactics of Dutch word corpus with SRNs. In order to overcome the previously reported obstacles, a new method for network testing was developed - optimal threshold evaluation. This method is based on minimising the erroneous character prediction of a trained SRN. The network training was improved as well. The training words were presented to the network according to their frequencies, which emphasises the more frequent sequences. The achieved results are promising and provide a base for further study. 1. Introduction to connectionist natural language processing. It is still a challenge to process natural language with connectionist paradigms. Formal language theory provides more natural methods for exploring complex language phenomena, but if we search for an approach. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.9810 http://www.let.rug.nl/~stoianov/ps/clin97.Stoianov.Nerbonne.Bouma.PhonotacticsLearning.ps.gz BASE Hide details

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