Ivelin Stoianov, Huub Bouma and John Nerbonne Dept. Alfa-informatica, Faculty ...  Home/Search
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Abstract: The very promising reported results of Neural Networks grammar modelling has motivated a lot of researchers to use them in linguistic analysis at each level of natural language - semantics, syntax, phonetics. The most popular connectionist model used for Natural Language Processing is the Simple Recurrent Network (SRN), invented by J. Elman and successfully used to model some grammars. However, some larger explorations in this area failed, such as some experiments with Dutch phonotactic... (Update)
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...Sang concluded that neural learning paradigms were not yet sophisticated enough to compete with others in this domain. Stoianov, Nerbonne and Bouma (1997) reported better performance, however. We apply a neural network to phonotactic processing in the same way as Tjong Kim...
.... of Arts, Email: fstoianov, nerbonneg let.rug.nl Abstract Stoianov, Nerbonne and Bouma (1998) trained Simple Recurrent Networks (SRNs) on graphotactics of Dutch monosyllabic words, overcoming shortcomings of previous implementations. The current report is a continuation of...
Cited by: More
An FGREP Investigation into Phonotactics - Kleiweg, Nerbonne (1999) (Correct)
Recurrent Autoassociative Networks: Developing Distributed.. - Stoianov (Correct)
Exploring Phonotactics with Simple Recurrent Networks - Stoianov, Nerbonne (1998) (Correct)
Active bibliography (related documents): More All
1.7: Connectionist Learning of Natural Language Lexical Phonotactics - Stoianov, Nerbonne (1998) (Correct)
0.5: Modelling the phonotactic structure of natural language.. - Stoianov, Nerbonne.. (1997) (Correct)
0.2: Rule Extraction from Recurrent Neural Networks: A Taxonomy and.. - Jacobsson (2005) (Correct)
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BibTeX entry: (Update)
@misc{ huub-modelling,
author = "Ivelin Stoianov Huub",
title = "Modelling the phonotactic structure of natural language words with Simple
Recurrent Networks",
url = "citeseer.ist.psu.edu/stoianov97modelling.html" }
Citations (may not include all citations):1491 Learning internal representa-tions by error propagation (context) - Rumelhart, Hinton et al. - 1986
644 Finding structure in time - Elman - 1990
216 Phoneme recognition using time-delay Neural Networks (context) - Waibel
116 Finite state automata and simple recurrent networks (context) - Cleeremans, Servan-Schreiber et al. - 1989
14 Mechanisms of Implicit Learning (context) - Cleeremans - 1993
12 Implicit learning of synthetic languages:The role of the ins.. (context) - Reber - 1976
10 Principles of phonetics (context) - Laver - 1994
6 Connectionism for Natural Language Processing (context) - Dorffner - 1991
5 Graded state machines: The representation of temporal contig.. (context) - Servan-Schreiber, Cleeremans et al. - 1991
3 The Limitations of Modelling Finite State Grammars with Simp.. (context) - Kim - 1994
2 Macmillan College Pub (context) - Haykin - 1994
2 Off-line Signature verification by Neural Network pressure a.. (context) - Stoianov, Baruch et al. - 1994
2 Natural Language Gramatical Inference: A Comparison of Recur.. (context) - Lawrence, Fong et al. - 1996
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Modelling the phonotactic structure of natural language.. - Stoianov, Nerbonne.. (1997) (Correct)
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