A Study on the Translation of Cultural Classics Based on Deep Learning Methods

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Measurement of intertextuality</td><td class="align_center">Deiss coefficient</td><td class="align_center">Matching coefficient</td><td class="align_center">Full confidence</td><td class="align_center">Cosine</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Mathematical model</td><td class="align_center"><span style="width: 109.722ptpx;"><svg height="11.439pt" id="M21" style="vertical-align:-2.15067pt" version="1.1" viewbox="-0.0498162 -9.28833 109.722 11.439" width="109.722pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M412 140C382 77 369 73 315 73H129L270 222C362 320 402 379 402 466C402 571 322 635 234 635C177 635 130 609 99 576L42 495L64 475C90 514 133 568 201 568C274 568 318 519 318 435C318 349 255 267 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<div>Mathematical model of statistical measurement of intertextuality.</div>

Scientific Programming

tab1

Table 1

Table 1: A Study on the Translation of Cultural Classics Based on Deep Learning Methods 