formula recognition
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2018 ◽  
Vol 226 (3) ◽  
pp. 311-336
Author(s):  
Surror Abdul Kareem Ali

    The present research aims at identifying the effect of Robinson strategy and Self- Inquiry on the student's achievement in Kurdish literature. To achieve the study aim, the researcher has chosen randomly eighth class students (2nd intermediate) from Hemin school, pishder directorate/ Suliymania for the academic year 2014- 2015. The sample of the study is 76 male and female students and it is distributed as 27 studenets as the first experimental group, 24 student as the second expermintal group, and 25 students as the control group.               The Three groups have been matched according to the following variables: the student's age, their intelligence, their last year grades in kurdish. The experiment lasted one academic semester which is the first one during which the researcher herself has taught the three groups. The researcher has constructed an objective test consist of  35 items, some are multiple choice items, other are true/ false items and completion items. The test validity and reliability have been ascertained. The following statistical tools have been used: ANOVA, Difficulty Coefficient Formula, Recognition Coefficient, Scheffe's test, pearson coefficient Formula. The results of this study have been proven the effectiveness of Robinson strategy which was taught to the first experimental group. Also self Inquiry has proven its success upon the traditional way of teaching. Also, no statistically significant difference is found at 0.05 between the first experimental group, which is taught by Robinson strategy, and the second experimental group which is taught by self- Inquiry. 


2015 ◽  
Vol 740 ◽  
pp. 875-880
Author(s):  
Wei Xin Xu ◽  
Xue Dong Tian ◽  
Xin Fu Li

Formulas exist in various kinds of documents with different formats. Extracting and normalizing them into a unique form are the precondition of mathematical retrieval. In this paper, an extraction and conversion method of formulas in Word documents is built for mathematical expression retrieval. Firstly, the mathematical expressions in Word documents are detected through the processing of OLE objects. Then, the matching rules of formula format conversion are defined. Finally, the extracted mathematical expressions in OMML format are converted into LaTeX format follow the defined rules and stored in a txt file. Furthermore, the formulas exist in MathType format are stored in bitmap documents and converted into LaTeX documents through formula recognition and reconstruction module. Experiments show the effectiveness of the designed approach.


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