Novel textual entailment technique for the Arabic language using genetic algorithm

2021 ◽  
Vol 68 ◽  
pp. 101194
Author(s):  
Bushra Alhijawi ◽  
Arafat Awajan
Keyword(s):  
Genetic Algorithm ◽  
Arabic Language ◽  
Textual Entailment

Narrative Language Markers of Arabic Language Development and Impairment

2020 ◽  
Vol 63 (10) ◽  
pp. 3472-3487
Author(s):  
Natalia V. Rakhlin ◽  
Nan Li ◽  
Abdullah Aljughaiman ◽  
Elena L. Grigorenko
Keyword(s):  
Language Development ◽  
Standardized Test ◽  
Language Disorder ◽  
Arabic Language ◽  
Developmental Language Disorder ◽  
Standardized Measures ◽  
Verb Agreement ◽  
Language Groups ◽  
Specificity And Sensitivity ◽  
Omission Errors

Purpose We examined indices of narrative microstructure as metrics of language development and impairment in Arabic-speaking children. We examined their age sensitivity, correlations with standardized measures, and ability to differentiate children with average language and language impairment. Method We collected story narratives from 177 children (54.2% boys) between 3.08 and 10.92 years old ( M = 6.25, SD = 1.67) divided into six age bands. Each child also received standardized measures of spoken language (Receptive and Expressive Vocabulary, Sentence Imitation, and Pseudoword Repetition). Several narrative indices of microstructure were examined in each age band. Children were divided into (suspected) developmental language disorder and typical language groups using the standardized test scores and compared on the narrative indicators. Sensitivity and specificity of the narrative indicators that showed group differences were calculated. Results The measures that showed age sensitivity included subject omission error rate, number of object clitics, correct use of subject–verb agreement, and mean length of utterance in words. The developmental language disorder group scored higher on subject omission errors (Cohen's d = 0.55) and lower on correct use of subject–verb agreement (Cohen's d = 0.48) than the typical language group. The threshold for impaired performance with the highest combination of specificity and sensitivity was 35th percentile. Conclusions Several indices of narrative microstructure appear to be valid metrics for documenting language development in children acquiring Gulf Arabic. Subject omission errors and correct use of subject–verb agreement differentiate children with typical and atypical levels of language development.

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy

Efektifitas Pembelajaran Bahasa Arab 0 (nol) sks dalam membentuk Bi’ah al-‘Arabiyah pada Prodi PAI STIT Raden Wijaya

2018 ◽  
Vol 1 (2) ◽  
pp. 51
Author(s):  
Mustain Mustain
Keyword(s):  
Religious Education ◽  
Arabic Language ◽  
Islamic Education ◽  
Foreign Languages ◽  
Primary Data ◽  
Study Program ◽  
Effective Learning ◽  
Education Study ◽  
Arabic And English ◽  
Oriented Approach

Arabic subjects are very important to develop the ability to communicate. By learning Arabic, students can understand the conversation and reading in Arabic well. Formal Arabic Studies in Madrasahs are the main means for students to master Arabic. This study aims to: 1) Know the efforts of STI Pati Raden Wijaya Prodi in shaping Arabic environment on Prodi PIT STIT Raden Wijaya. 2) Knowing the supporting factors in shaping Arabic environment on PAI STIT Raden Wijaya Prodi. 3) Knowing the obstacles faced by Prodi PIT STIT Raden Wijaya in shaping Arabic environment at Prodi PIT STIT Raden Wijaya. This study uses oriented approach (paradigm) Descriptive-Qualitative, While the type of research is using case studies (Santoso, 2005). In this study the researchers themselves or with the help of others are the main data collectors. This research was conducted at Tarbiyah High School of Raden Wijaya Kota Mojokerto, on Islamic Religious Education Study Program. In this study, the primary data obtained by researchers is: the results of interviews with the Chairman of the Study Program of Islamic Education and Students Semester I (One). In this study used in analyzing data that has been obtained is by descriptive (non statistical) descriptive that is explorative. The conclusions of this research are: 1) Effort-uaha done Prodi in making effective learning arab language in Prodi PIT STIT Raden Wijaya are: a. He held yaum al-'araby twice a week on Friday. b. It was called shabah al-lughah a week twice before ta'lim afkar al-islamy began. c. The existence of study club on each mabna. 2) Factors that become supporters in forming bi'ah al-'arabiyah are: a. Attachment of mufradat in strategic places. b. Make plaques that are written / spoken in Arabic to make it easier to remember. c. Songs in foreign languages ​​(Arabic and English) to increase students' insight in developing the language. 3) The constraints faced in creating bi'ah al-'arabiyah namely: a. Ability and basic students are different. b. There is no class classification that suits the ability of each student. c. Lack of facilities / facilities and infrastructure. d. Competence musyrif / ah who are not all able to speak. e. The curriculum and materials that are presented have not been neatly arranged. f. The absence of a strict iqob for students who do not communicate arabic language everyday.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

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