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Hits 61 – 80 of 183

61
Connectionist Grapheme to Phoneme Conversion: Exploring Distributed Representations
In: http://www-uilots.let.uu.nl/publications/clin1999/Pap/stoianov.ps (1999)
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62
Connectionist Learning of Natural Language Lexical Phonotactics
In: http://www.let.rug.nl/~stoianov/ps/ml.conn.learn.nl.phonotactics.ps.gz (1998)
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63
Exploring Phonotactics with Simple Recurrent Networks
In: http://www.let.rug.nl/~nerbonne/papers/clin98srn.ps (1998)
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64
Linguistic Databases
In: http://www.let.rug.nl/~nerbonne/papers/intro-db.ps (1998)
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65
Glosser-RuG: A User Study
In: http://www.let.rug.nl/~nerbonne/papers/glosser-user-study.ps (1998)
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66
Modelling the phonotactic structure of natural language words with Simple Recurrent Networks
In: http://grid.let.rug.nl/~nerbonne/papers/clin97.Stoianov.Nerbonne.Bouma.PhonotacticsLearning.pdf (1998)
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67
Morphological Processing and Computer-Assisted Language Learning
In: http://www.let.rug.nl/~nerbonne/papers/call_fr.ps.gz (1998)
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68
Morphological processing and computer-assisted language learning
In: http://www.let.rug.nl/~nerbonne/papers/call_fr.pdf (1998)
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69
Modelling the phonotactic structure of natural language words with Simple Recurrent Networks
In: http://grid.let.rug.nl/~stoianov/ps/dutch.phonot.poster97.ps.gz (1997)
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70
Measuring Dialect Distance Phonetically
In: http://www.let.rug.nl/~nerbonne/papers/comp-phon97.ps (1997)
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71
Measuring Dialect Distance Phonetically
In: http://acl.ldc.upenn.edu/W/W97/W97-1102.pdf (1997)
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72
Measuring dialect distance phonetically
In: http://www.let.rug.nl/%7Eheeringa/dialectology/papers/cph97.pdf (1997)
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73
Modelling the phonotactic structure of natural language words with Simple Recurrent Networks
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
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74
Reading more into Foreign Languages
In: http://grid.let.rug.nl/~nerbonne/papers/anlp97.ps (1997)
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75
Phonetic Distance between Dutch Dialects
In: http://grid.let.rug.nl/~nerbonne/papers/clin96.ps (1996)
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76
Phonetic Distance between Dutch Dialects
In: http://odur.let.rug.nl/~heeringa/dialectology/papers/clin96.pdf (1996)
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77
GLOSSER-RuG: in Support of Reading
In: http://www.let.rug.nl/~nerbonne/papers/colingpaper.ps (1996)
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78
Computational Semantics -- Linguistics and Processing
In: http://www.let.rug.nl/~nerbonne/papers/sem-handbook.ps (1996)
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79
Lexicons for Feature-Based Systems
In: http://www.let.rug.nl/~nerbonne/papers/lexic.ps (1994)
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80
Partial Verb Phrases and Spurious Ambiguities
In: http://www.let.rug.nl/~nerbonne/papers/pvp.ps (1994)
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