Estimation of bit-level transition activity in data-paths based on word-level statistics and conditional entropy

2002 ◽  
Vol 149 (4) ◽  
pp. 234-240 ◽  
Author(s):  
E.D. Kyriakis-Bitzaros ◽  
S. Nikolaidis
Keyword(s):  
Conditional Entropy ◽  
Word Level ◽  
Level Statistics ◽  
Level Transition ◽  
Transition Activity

scholarly journals Glitch-aware output switching activity from word-level statistics

2008 ◽  
Author(s):  
Jonathan A. Clarke ◽  
George A. Constantinides ◽  
Peter Y. K. Cheung ◽  
Alastair M. Smith
Keyword(s):  
Switching Activity ◽  
Word Level ◽  
Level Statistics

scholarly journals Database of word-level statistics for Mandarin Chinese (DoWLS-MAN)

2021 ◽  
Author(s):  
Karl David Neergaard ◽  
Hongzhi Xu ◽  
James S. German ◽  
Chu-Ren Huang
Keyword(s):  
Mandarin Chinese ◽  
Word Level ◽  
Level Statistics

Systematic construction of a versatile case system

1997 ◽  
Vol 3 (4) ◽  
pp. 279-315 ◽  
Author(s):  
KEN BARKER ◽  
TERRY COPECK ◽  
STAN SZPAKOWICZ ◽  
SYLVAIN DELISLE
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
English Text ◽  
Semantic Roles ◽  
Closed Set ◽  
Word Level ◽  
Case System ◽  
Linguistic System ◽  
Level Statistics

Case systems abound in natural language processing. Almost any attempt to recognize and uniformly represent relationships within a clause – a unit at the centre of any linguistic system that goes beyond word level statistics – must be based on semantic roles drawn from a small, closed set. The set of roles describing relationships between a verb and its arguments within a clause is a case system. What is required of such a case system? How does a natural language practitioner build a system that is complete and detailed yet practical and natural? This paper chronicles the construction of a case system from its origin in English marker words to its successful application in the analysis of English text.

scholarly journals Rule-based and word-level statistics-based processing of language: insights from neuroscience

2016 ◽  
Vol 32 (5) ◽  
pp. 570-575 ◽  
Author(s):  
Nai Ding ◽  
Lucia Melloni ◽  
Xing Tian ◽  
David Poeppel
Keyword(s):  
Rule Based ◽  
Word Level ◽  
Level Statistics
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