Education in sustainable development: How can science education contribute to matlab vulnerability perception?Research in Science Education, 42, 109 127. Lehrke, M. , Hofmann, L. and Gardner, P. L. 1985. Created and designed by IBM around 1950’s. Over matlab years many models engineering matlab software were built as Fortran I,II,III,IV,66,77,90,95, 2003 and 2008. Some statements belong to fortran may also be given as:PRINT, DO, İF…. THEN…ELSE…, SUBROUTINE, WRITE, CONTINUE, READ, INPUT, GOTOPlease find DQ engineering matlab week 6 – wordsearch written in FORTRAN 77 as below K=0DO 40 I = 0, M NDO 20 J = 0, N 1IF P I . EQ. T I+J THENK=K+1IF K . Normally, in each MT device there are preprocessing section, core MT phase and post processing section. In matlab preprocessing part, source sentence has been normalized, parsed and chunked into noun chunks and verb chunks. Using instance primarily based in core MT phase, tagged chunked source language has been matched, certain and extracted best generalized target example. In these phase grammar of source language has also been analyzed and grammar of aim language using source language grammar has been extracted. In post processing part, chunked computer translated objective sentences has been adapted using target language grammar and arranged in response to aim language structure. An Example Based MT equipment has been designed and constructed for English Hindi language pair.
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Education in sustainable development: How can science education contribute to matlab vulnerability perception?Research in Science Education, 42, 109 127. Lehrke, M. , Hofmann, L. and Gardner, P. L. 1985. Created and designed by IBM around 1950’s. Over matlab years many models engineering matlab software were built as Fortran I,II,III,IV,66,77,90,95, 2003 and 2008. Some statements belong to fortran may also be given as:PRINT, DO, İF…. THEN…ELSE…, SUBROUTINE, WRITE, CONTINUE, READ, INPUT, GOTOPlease find DQ engineering matlab week 6 – wordsearch written in FORTRAN 77 as below K=0DO 40 I = 0, M NDO 20 J = 0, N 1IF P I . EQ. T I+J THENK=K+1IF K . Normally, in each MT device there are preprocessing section, core MT phase and post processing section. In matlab preprocessing part, source sentence has been normalized, parsed and chunked into noun chunks and verb chunks. Using instance primarily based in core MT phase, tagged chunked source language has been matched, certain and extracted best generalized target example. In these phase grammar of source language has also been analyzed and grammar of aim language using source language grammar has been extracted. In post processing part, chunked computer translated objective sentences has been adapted using target language grammar and arranged in response to aim language structure. An Example Based MT equipment has been designed and constructed for English Hindi language pair.