If you thought learning Chinese was hard,then pop over to the musical instrument vocabulary list for a break.All you have to remember is the suffix琴(qín),and you’ll have the names of most instruments half memor...If you thought learning Chinese was hard,then pop over to the musical instrument vocabulary list for a break.All you have to remember is the suffix琴(qín),and you’ll have the names of most instruments half memorized D violin is小提琴(xiǎotíqín),keyboard is电子琴(diànzǐqín)and the harmonica is口琴(kǒuqín).You can even use琴as a shortened way of saying these instruments(我在练琴,I’m practicing qin),which works out great until you realize that people have no idea whether you’re playing a piano,a guitar or an erhu.展开更多
This paper recounts the process by which a severely brain-damaged adult student,after a terrible car accident,taught herself to read and write Ancient Greek,and in so doing,improved her ability to read and write in Gr...This paper recounts the process by which a severely brain-damaged adult student,after a terrible car accident,taught herself to read and write Ancient Greek,and in so doing,improved her ability to read and write in Greek.Initially,Evangelia’s reading and writing were very slow and difficult;memory and word finding challenges were her constant companions.Numerous studies by Greek and foreign scientists have shown that the Ancient Greek language,besides being alive,is also therapeutic,since it has the possibility to heal various dysfunctions and learning difficulties.After nine months,the recovery process was so good that Evangelia found herself writing and reading more fluently in Greek.This paper seeks to contribute to our knowledge of how the Ancient Greek language has the possibility to heal various and serious speech and language disorders.展开更多
Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools.This stipulation make the dispensation period over-riding,difficult and tiresome to calculate.This paper present ...Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools.This stipulation make the dispensation period over-riding,difficult and tiresome to calculate.This paper present a technique for recognizing ancient south Indian languages by applying Artificial Neural Network(ANN)associated with Opposition based Grey Wolf Optimization Algorithm(OGWA).It identifies the prehistoric language,signs and fonts.It is an apparent from the ANN system that arbitrarily produced weights or neurons linking various layers play a significant role in its performance.For adaptively determining these weights,this paper applies various optimization algorithms such as Opposition based Grey Wolf Optimization,Particle Swarm Optimization and Grey Wolf Opti-mization to the ANN system.Performance results are illustrated that the proposed ANN-OGWO technique achieves superior accuracy over the other techniques.In test case 1,the accuracy value of OGWO is 94.89%and in test case 2,the accu-racy value of OGWO is 92.34%,on average,the accuracy of OGWO achieves 5.8%greater accuracy than ANN-GWO,10.1%greater accuracy than ANN-PSO and 22.1%greater accuracy over conventional ANN technique.展开更多
文摘If you thought learning Chinese was hard,then pop over to the musical instrument vocabulary list for a break.All you have to remember is the suffix琴(qín),and you’ll have the names of most instruments half memorized D violin is小提琴(xiǎotíqín),keyboard is电子琴(diànzǐqín)and the harmonica is口琴(kǒuqín).You can even use琴as a shortened way of saying these instruments(我在练琴,I’m practicing qin),which works out great until you realize that people have no idea whether you’re playing a piano,a guitar or an erhu.
文摘This paper recounts the process by which a severely brain-damaged adult student,after a terrible car accident,taught herself to read and write Ancient Greek,and in so doing,improved her ability to read and write in Greek.Initially,Evangelia’s reading and writing were very slow and difficult;memory and word finding challenges were her constant companions.Numerous studies by Greek and foreign scientists have shown that the Ancient Greek language,besides being alive,is also therapeutic,since it has the possibility to heal various dysfunctions and learning difficulties.After nine months,the recovery process was so good that Evangelia found herself writing and reading more fluently in Greek.This paper seeks to contribute to our knowledge of how the Ancient Greek language has the possibility to heal various and serious speech and language disorders.
文摘Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools.This stipulation make the dispensation period over-riding,difficult and tiresome to calculate.This paper present a technique for recognizing ancient south Indian languages by applying Artificial Neural Network(ANN)associated with Opposition based Grey Wolf Optimization Algorithm(OGWA).It identifies the prehistoric language,signs and fonts.It is an apparent from the ANN system that arbitrarily produced weights or neurons linking various layers play a significant role in its performance.For adaptively determining these weights,this paper applies various optimization algorithms such as Opposition based Grey Wolf Optimization,Particle Swarm Optimization and Grey Wolf Opti-mization to the ANN system.Performance results are illustrated that the proposed ANN-OGWO technique achieves superior accuracy over the other techniques.In test case 1,the accuracy value of OGWO is 94.89%and in test case 2,the accu-racy value of OGWO is 92.34%,on average,the accuracy of OGWO achieves 5.8%greater accuracy than ANN-GWO,10.1%greater accuracy than ANN-PSO and 22.1%greater accuracy over conventional ANN technique.
