On Fuzzy Extensions to Energy Ontologies for Text Processing Applications

2014 ◽  
pp. 87-95 ◽  
Author(s):  
Dilek Küçük ◽  
Doğan Küçük ◽  
Adnan Yazıcı
Keyword(s):  
Text Processing

Differential Mnemonic Effects of Text Processing Strategies for Good

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

Text processing as a function of layout in a videotex system.

1983 ◽  
Author(s):  
Kjell Ohlsson ◽  
Lars-Goeran Nilsson ◽  
Jerker Roennberg
Keyword(s):  
Text Processing

Memorial Influences on the Fluency of Text Processing

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

Organizational signals and reading instructions affect text processing

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

Structured Data Entry for Reliable Acquisition of Pharmacokinetic Data

1996 ◽  
Vol 35 (03) ◽  
pp. 261-264 ◽  
Author(s):  
T. Schromm ◽  
T. Frankewitsch ◽  
M. Giehl ◽  
F. Keller ◽  
D. Zellner
Keyword(s):  
Text Processing ◽  
Data Entry ◽  
Processing System ◽  
Database System ◽  
Structured Data ◽  
Pharmacokinetic Parameters ◽  
Pharmacokinetic Data ◽  
Probability Of Error ◽  
Error Frequency ◽  
Estimated Error

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.

Le potentiel théâtral chez David Foenkinos. Analyse du roman, du scénario et du film La Délicatesse

2020 ◽  
Vol 65 (2) ◽  
pp. 297-319
Author(s):  
Aluaș Alina
Keyword(s):  
Text Processing ◽  
Careful Analysis ◽  
The Novel ◽  
Work Analysis ◽  
Personal Myth ◽  
The Subject

"The Theatrical Potential in David Foenkinos’ Work. Analysis of the Novel, the Scenario and the Film “La Délicatesse”. Our interest, especially when it comes to the subject of literature, is to show the manner in which the text processing done by the author (script writer/director) brings to light the guidelines of the novelistic text’s semantics, which under careful analysis reveals a kind of personal myth of the novelist. The skewed, syncopated, interrupted writing which disrupts the chronotope serves the needs of the script as well as the director’s selective vision. Unconsciously, the novel seems to follow the structure of the theatrical model. These traits can also be found in the cinematographic structure of the film. Keywords: love, eroticism, delicacy, theatricality, scenario, film. "

User Dependent Handwriting Recognition using off-line OCR for Arithmetic Operation and Text Processing

2011 ◽  
Vol 6 (1) ◽  
pp. 28-35
Author(s):  
D.P. Gaikwad ◽  
Yogesh Gunge ◽  
Raghunandan Mundada ◽  
Himani Bharadwaj ◽  
Swapnil Patil
Keyword(s):  
Text Processing ◽  
Handwriting Recognition ◽  
Arithmetic Operation

Lexical Rule and Lexicon Effect for Part of Speech Tagging Bahasa Madura

2018 ◽  
Vol 18 (1) ◽  
pp. 65-72
Author(s):  
Nindian Puspa Dewi ◽  
Ubaidi Ubaidi
Keyword(s):  
Text Processing ◽  
Part Of Speech Tagging ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Speech Tagging ◽  
Bahasa Indonesia

POS Tagging adalah dasar untuk pengembangan Text Processing suatu bahasa. Dalam penelitian ini kita meneliti pengaruh penggunaan lexicon dan perubahan morfologi kata dalam penentuan tagset yang tepat untuk suatu kata. Aturan dengan pendekatan morfologi kata seperti awalan, akhiran, dan sisipan biasa disebut sebagai lexical rule. Penelitian ini menerapkan lexical rule hasil learner dengan menggunakan algoritma Brill Tagger. Bahasa Madura adalah bahasa daerah yang digunakan di Pulau Madura dan beberapa pulau lainnya di Jawa Timur. Objek penelitian ini menggunakan Bahasa Madura yang memiliki banyak sekali variasi afiksasi dibandingkan dengan Bahasa Indonesia. Pada penelitian ini, lexicon selain digunakan untuk pencarian kata dasar Bahasa Madura juga digunakan sebagai salah satu tahap pemberian POS Tagging. Hasil ujicoba dengan menggunakan lexicon mencapai akurasi yaitu 86.61% sedangkan jika tidak menggunakan lexicon hanya mencapai akurasi 28.95 %. Dari sini dapat disimpulkan bahwa ternyata lexicon sangat berpengaruh terhadap POS Tagging.

Fast text processing for information retrieval

1991 ◽  
Author(s):  
Tomek Strzalkowski ◽  
Barabara Vauthey
Keyword(s):  
Information Retrieval ◽  
Text Processing
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