AUTOMATION OF MORPHOLOGICAL ANALYSIS IN INDUSTRIAL TEXT PROCESSING SYSTEMS

Author(s):  
N.Sh. Madibragimov ◽  
2009 ◽  
Vol 43 (6) ◽  
pp. 336-343 ◽  
Author(s):  
V. A. Yatsko ◽  
M. S. Starikov ◽  
E. V. Larchenko ◽  
T. N. Vishnyakov

2017 ◽  
Vol 5 ◽  
pp. 1113-1117
Author(s):  
Stoyan Cherecharov ◽  
Hristo Krushkov ◽  
Mariana Krushkova

The wide use of web-based information systems and a lack of highly skilled developers are the primary motivation to search for methods and approaches to optimize the building of such systems. This paper describes a model for creating web-based information systems by using a core of reusable, independent, and installable base modules. Such a system is easily adapted to a client’s needs and is extendable by adding specific modules that interact with the remainder of the system by following certain rules. The approach allows flexible and rapid development of applications for small to extremely large web-based systems, simply by adding modules with adequate functionality. The growing demand of Bulgarian customers for such systems is the reason for building a base module for automatic processing of Bulgarian text. This paper presents a module that performs automatic morphological analysis and synthesis, verifies syntactic agreement, automatically places stress, and processes complex verb forms, among other functions. The described functionality can be integrated with other modules using a suitable interface


Author(s):  
A.N. Dmitrishin ◽  
Al-dr A. Khoroshilov ◽  
Al-ey A. Khoroshilov

The article describes the methods, the procedures and of declarative means of muljtiyazychnogo morphological analysis is being considered.The declarative means, which is a set of dictionaries and grammatical tables in computer form, were created on the basis of full-scale investigations of large amounts of many-tongued text information by lingvostatisticheskimi methods. When designing the machine-held dictionaries and grammatical tables the statistical methods and the methods of linguistic analogy for multilingual words texts has been widely employed. Within the complex of declarative means enter the grammatical tables and the computer dictionaries, including the major types of inflectional transformations of words of different languages.


Author(s):  
K.S. Kosik ◽  
L.K. Duffy ◽  
S. Bakalis ◽  
C. Abraham ◽  
D.J. Selkoe

The major structural lesions of the human brain during aging and in Alzheimer disease (AD) are the neurofibrillary tangles (NFT) and the senile (neuritic) plaque. Although these fibrous alterations have been recognized by light microscopists for almost a century, detailed biochemical and morphological analysis of the lesions has been undertaken only recently. Because the intraneuronal deposits in the NFT and the plaque neurites and the extraneuronal amyloid cores of the plaques have a filamentous ultrastructure, the neuronal cytoskeleton has played a prominent role in most pathogenetic hypotheses.The approach of our laboratory toward elucidating the origin of plaques and tangles in AD has been two-fold: the use of analytical protein chemistry to purify and then characterize the pathological fibers comprising the tangles and plaques, and the use of certain monoclonal antibodies to neuronal cytoskeletal proteins that, despite high specificity, cross-react with NFT and thus implicate epitopes of these proteins as constituents of the tangles.


2001 ◽  
Author(s):  
Robert J. Hines ◽  
Mark A. McDaniel ◽  
Melissa Guynn

Author(s):  
Kjell Ohlsson ◽  
Lars-Goeran Nilsson ◽  
Jerker Roennberg
Keyword(s):  

2007 ◽  
Author(s):  
Matthew Collins ◽  
Betty Ann Levy
Keyword(s):  

1991 ◽  
Author(s):  
Elizabeth Pugzles Lorch ◽  
Robert F. Lorch ◽  
Jonathan M. Golding
Keyword(s):  

1996 ◽  
Vol 35 (03) ◽  
pp. 261-264 ◽  
Author(s):  
T. Schromm ◽  
T. Frankewitsch ◽  
M. Giehl ◽  
F. Keller ◽  
D. Zellner

Abstract:A pharmacokinetic database was constructed that is as free of errors as possible. Pharmacokinetic parameters were derived from the literature using a text-processing system and a database system. A random data sample from each system was compared with the original literature. The estimated error frequencies using statistical methods differed significantly between the two systems. The estimated error frequency in the text-processing system was 7.2%, that in the database system 2.7%. Compared with the original values in the literature, the estimated probability of error for identical pharmacokinetic parameters recorded in both systems is 2.4% and is not significantly different from the error frequency in the database. Parallel data entry with a text-processing system and a database system is, therefore, not significantly better than structured data entry for reducing the error frequency.


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