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Inclusive language is a language style that seeks to avoid expressions that its proponents perceive as expressing or implying ideas that are sexist, racist, or otherwise biased, prejudiced, or insulting to particular group(s) of people; and instead uses language intended by its proponents to avoid offense and fulfill the ideals of ...
A hendiadys is a phrase that contains two complementary words, and a gender-neutral hendiadys will include a feminine word and a masculine word, e.g. toutes et tous, citoyennes et citoyens. Within France, this gender-inclusive language has been met with some harsh resistance from the Académie Française and French conservatives .
Inclusive may refer to: Inclusive disjunction, A or B or both; Inclusive fitness, in evolutionary theory, how many kin are supported including non-descendants; Inclusive tax, includes taxes owed as part of the base; Inclusivism, a form of religious pluralism; Inclusive first person, in linguistics
These existential words can spark controversy, and this is the case with the term “Latinx.” Some people feel this is a word that denotes inclusivity; for others, it is an attempt at linguistic ...
Inclusive "we" specifically includes the addressee, while exclusive "we" specifically excludes the addressee; in other words, two (or more) words that both translate to "we", one meaning "you and I, and possibly someone else", the other meaning "me and some other person or persons, but not you".
The word transgender acquired its modern umbrella term meaning in the 1990s. [ 32 ] Health-practitioner manuals, professional journalistic style guides, and LGBT advocacy groups advise the adoption by others of the name and pronouns identified by the person in question, including present references to the transgender person's past.
Image translation is the machine translation of images of printed text (posters, banners, menus, screenshots etc.). This is done by applying optical character recognition (OCR) technology to an image to extract any text contained in the image, and then have this text translated into a language of their choice, and the applying digital image processing on the original image to get the ...
Google Translate's NMT system uses a large artificial neural network capable of deep learning. [1] [2] [3] By using millions of examples, GNMT improves the quality of translation, [2] using broader context to deduce the most relevant translation.