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» The Catchment Feature Model for Multimodal Language Analysis
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TNN
2010
227views Management» more  TNN 2010»
13 years 3 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
IASTEDSE
2004
13 years 10 months ago
Mapping UML statecharts to java code
The Unified Modeling Language (UML) statechart diagram is used for modeling the dynamic aspects of systems. The UML statechart diagrams include many concepts that are not present ...
Iftikhar Azim Niaz, Jiro Tanaka
COLING
2010
13 years 3 months ago
Kernel-based Reranking for Named-Entity Extraction
We present novel kernels based on structured and unstructured features for reranking the N-best hypotheses of conditional random fields (CRFs) applied to entity extraction. The fo...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
COLING
2010
13 years 3 months ago
Exploring the Data-Driven Prediction of Prepositions in English
Prepositions in English are a well-known challenge for language learners, and the computational analysis of preposition usage has attracted significant attention. Such research ge...
Anas Elghafari, Detmar Meurers, Holger Wunsch
APN
2001
Springer
14 years 1 months ago
''What Is a Petri Net?''
The increasing number of Petri net variants naturally leads to the question whether the term “Petri net” is more than a common name for very different concepts. This contribut...
Jörg Desel, Gabriel Juhás