01359nas a2200133   4500008004100000245012400041210006900165260001200234300001000246490000700256520089800263100001701161856004701178       2023                        eng d00aImprovement of English-Chinese Translation Method by Feature Reduction and Rule Optimization Based on Rough Set Theory-0 aImprovement of EnglishChinese Translation Method by Feature Redu  c09-2023  a83-870 v213 a<p>The traditional machine translation algorithm faces low efficiency and low accuracy due to complex grammar and multiple rules of English noun phrases. A kind of noun phrase identification method based on a rough set was proposed to improve the accuracy of English noun phrases. The rough set method regarded the identification of English noun phrases as a decision problem. We used rough set theory to reduce features, optimize rules for English noun phrases, and finally identify them. Then, a simulation experiment was carried out on an English noun phrase sample on the Wall Street Journal (WSJ) using rough set theory. The stimulation demonstrated that the accuracy of the noun phrase improved by the rough set was higher than another translation method; therefore, it is an effective machine identification method for English noun phrases, providing a basis for practical design.</p>
1 aWei, Hongxia  uhttp://www.dline.info/download.php?sn=3837