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浅析英语中的性别歧视现象

2010-12-24 21:49| 发布者: 伽奇·胡| 查看: 380| 评论: 0

  (4) Sometimes the first and second pronouns are used toreplace he. List an example: One has to be careful when hecrosses the road. Obviously, it use he to refer to a personwhose sex is unknown. We can change it into “You have to becareful when you cross the road.” to avoid the discrimination.

  

  (5) If permitted, the sentence can be changed into passivevoice to be nonsexist. Instead of saying “One should not loseheart when he is beaten in a match.”, one would be able to say“One should not lose heart when beaten in a match.”

  

  (6) Dropping the masculine pronoun can also be seen as auseful way to escape from gender bias.[17] The followingsentence can help to know the strategy better. Anybody canattend the meeting if interested in it. Being discriminatory,it is written into “Anybody can attend the meeting if he isinterested in it.”

  

  Feminists regard masculine pronouns as being ambiguous anddiscriminatory against women because they can be interpretedas being masculine-specific or neutral and thus, in somecases, be interpreted as not referring to women at all. So itis time that masculine pronouns were changed. The above aresome strategies used to avoid generic masculine. Thesestrategies are so useful that they can help the improvement ofsexism in language in some extent. And sexism in language isclosely linked with sexism in society. So it is good to theelimination of sexism in society in the final analysis.

  

  4.2 Lexical neutralizationLexical neutralization is also regarded as the major categoryamong solutions to sexist language. Above I have cited someexamples that some professions are used to refer to men. Whenthey are used to refer to woman, female or woman or lady isoften used. In fact, people do not need to designate the sexof an occupation, for example, woman psychologist or malenurse. If you are quoting a qualified psychologist or nurse,should it make a difference if the information is coming froma man or woman? Generally, I sum up five solutions of lexicalneutralization.

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