Spanish Phoneme Classification by Means of a Hierarchy of Kohonen Self-Organizing Maps
نویسندگان
چکیده
Research Issues for the Next Generation Spoken Dialogue Systems p. 1 Data-Driven Analysis of Speech p. 10 Towards a Road Map for Machine Translation Research p. 19 The Prague Dependency Treebank: Crossing the Sentence Boundary p. 20 Text Tiered Tagging and Combined Language Models Classifiers p. 28 Syntactic Tagging p. 34 Information, Language, Corpus and Linguistics p. 39 Prague Dependency Treebank: Restoration of Deletions p. 44 Some Types of Syntactic Ambiguity p. 50 Semantic Annotation of (Czech) Corpus Texts p. 56 The General Principles of the Diachronic Part of the Czech National Corpus p. 62 Performing Adaptive Morphological Analysis Using Internet Resources p. 66 Automatic Text-to-Speech Alignment: Aspects of Robustification p. 72 Czech Translation of G. Orwell's `1984': Morphology and Syntactic Patterns in the Corpus p. 77
منابع مشابه
Kohonen Self Organizing for Automatic Identification of Cartographic Objects
Automatic identification and localization of cartographic objects in aerial and satellite images have gained increasing attention in recent years in digital photogrammetry and remote sensing. Although the automatic extraction of man made objects in essence is still an unresolved issue, the man made objects can be extracted from aerial photos and satellite images. Recently, the high-resolution s...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999