Handwritten Character and Digit Recognition Using Convolutional Neural Network

The necessity for quick and precise content section on little handheld PCs has prompted a resurgence of interest in on-line word recognition utilizing counterfeit neural Networks. Old style strategies are consolidated and improved to give strong recognition of hand-printed English content. The focal idea of a neural net as a character classifier gives a legitimate base to are cognition framework; long-standing issues comparative with preparing, speculation, division, probabilistic formalisms, and so forth, need to settled, notwithstanding, to instigate astounding execution. assortment of developments in a manner to utilize a neural net as a classifier in a very word recognizer are introduced: negative preparing, stroke twisting, adjusting, standardized yield blunder, mistake accentuation, numerous portrayals, quantized loads, and incorporated word division all add to effective and hearty execution.

PHONOLOGICAL ANALYSIS ON BLENDING AND SEGMENTING FOR EARLY LITERACY OF K-1 AND K-2 CHILDREN IN I CAN READ ENGLISH COURSE IN BANDUNG CITY

The research deals with blending and segmenting of reading acquisition skills given to the Early Literacy of K-1 and K-2 Children in I Can Read English Course in Bandung City. The research aims at identifying (1) which skill should be taught first to the students of bilingual school (K1 and K2), blending or segmenting and (2) in using the blending and segmenting, which word divisions (CVC, VCC, CCV) should be taught first to the students of bilingual school (K1-K2). The main data source in this descriptive quantitative research is taken mainly from 38 students of I Can Read English Course studying in bilingual school of K1 and K2. The research stage consists of following steps: Dividing students into two groups, which will be taught Segmenting-Blending and Blending-Segmenting for ten (10) meetings, providing a list of three word division groups which will be used by the instructor later to test the student

Proverb from Winfrid’s Time and Bede’s Death Song: Some Textual Problems in Two Eighth-Century Poems Revisited

The sequence Oft daedlata domę foręldit (four words) in the Old English Proverb from Winfrid’s Time (ProvW, 1) defies grammatical analysis because foręldit ‘delays’ requires an accusative object. It is proposed to read Oft daed lata domę foręldit as five words, with daed (= dǣd) ‘deed’ functioning as direct object. This suggestion does not require any emendation because word division in Old English is by no means regular and there is some space between daed and lata in the manuscript anyway. The dative forms domę and gahwem (2a) function as instrumentals, with gahwem perhaps subordinated to domę. The meaning of the simplex lata lies in the area of ‘late-comer’, but ‘sluggard’, ‘laggard’ or other derogatory terms are not suitable. With regard to its genre, ProvW may be viewed in conjunction with Bede’s Death Song (BDS). The vocabulary of BDS presents some problems, but, above all, the construction of the five verse-lines is not totally clear. It is proposed that the comparative thoncsnotturra (2a) has absolute function, and that the adverbial than (2b), meaning ‘then’, introduces a fresh clause. ProvW and BDS may belong to a larger group of self-contained texts no longer extant. In a wide sense they represent the category of Wisdom Poetry in a Christian context.

Pengaruh Endorser Yoshiolo Terhadap Brand Image Word Division

Word Division is a local shoe brand that uses endorsers in its promotion. One of the endorsers chosen was Yoshiolo but Yoshiolo was better known through promotional content for foreign brands. This study aims to determine the influence of Yoshiolo as an endorser of the Word Division brand image. This study uses this study using a survey approach using questionnaires as a basic data collection tool and generally uses statistical methods. The results of the analysis show that Yoshiolo as an endorser has a positive and significant influence on the Word Division brand image