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Titlebook: Connectionist Natural Language Processing; Readings from Connec Noel Sharkey Book 1992 Springer Science+Business Media Dordrecht 1992 artif

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樓主: 小故障
11#
發(fā)表于 2025-3-23 12:59:46 | 只看該作者
12#
發(fā)表于 2025-3-23 17:48:40 | 只看該作者
The Role of Similarity in Hungarian Vowel Harmony: a Connectionist Account,ry. Current autosegmental approaches successfully capture the intuition that vowel harmony is a dynamic process involving the interaction of a sequence of vowels; still, no theoretical analysis has offered a non-stipulative account of the inconsistent behavior of the so-called ‘transparent’, or dish
13#
發(fā)表于 2025-3-23 18:48:37 | 只看該作者
14#
發(fā)表于 2025-3-23 22:24:42 | 只看該作者
Networks that Learn about Phonological Feature Persistence,describes two experiments investigating the power of simple recurrent networks (SRNs) to acquire phonological regularities that can be described in terms of the persistence of particular features. The first experiment demonstrates the ability of an SRN to learn simple harmony constraints within morp
15#
發(fā)表于 2025-3-24 05:14:03 | 只看該作者
Pronunciation of Digit Sequences in Text-to-Speech Systems,tation, rules for generating appropriate rhythm and intonation, and a speech synthesizer to generate an acoustic waveform from the phonemic representation. Multi-layer perceptrons have recently been used for the orthographic to phonemic conversion process. In this paper the possibility of using perc
16#
發(fā)表于 2025-3-24 06:48:17 | 只看該作者
17#
發(fā)表于 2025-3-24 13:17:32 | 只看該作者
18#
發(fā)表于 2025-3-24 18:04:09 | 只看該作者
19#
發(fā)表于 2025-3-24 21:14:29 | 只看該作者
Advances in Engineering Networkseptrons in the preprocessor is explored. It is shown that single-layer perceptrons are sufficient for expanding 3-digit numbers, 4-digit numbers and cardinal numbers into appropriate orthographic text, but a multi-layer perceptron is required for expanding 12-hour clock times.
20#
發(fā)表于 2025-3-25 01:55:54 | 只看該作者
Turbomachinery Monitoring and Diagnosticsints. The symbolic level is responsible for restricted syntactic analysis and concept extraction. We conclude that a hybrid model is potentially stronger than models that rely on only one processing paradigm.
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