General Chat

Top tip - using the Genes Reunited community

Welcome to the Genes Reunited community boards!

  • The Genes Reunited community is made up of millions of people with similar interests. Discover your family history and make life long friends along the way.
  • You will find a close knit but welcoming group of keen genealogists all prepared to offer advice and help to new members.
  • And it's not all serious business. The boards are often a place to relax and be entertained by all kinds of subjects.
  • The Genes community will go out of their way to help you, so don’t be shy about asking for help.

Quick Search

Single word search

Icons

  • New posts
  • No new posts
  • Thread closed
  • Stickied, new posts
  • Stickied, no new posts

SPANISH COMPUTERS

ProfilePosted byOptionsPost Date

AnnCardiff

AnnCardiff Report 27 Oct 2008 21:43





A SPANISH Teacher was explaining to her class that in Spanish, unlike English, nouns are designated as either masculine or feminine.

'House' for instance, is feminine: 'la casa.'
'Pencil,' however, is masculine: 'el lapiz.'

A student asked, 'What gender is 'computer'?'

Instead of giving the answer, the teacher split the class into two groups, male and female, and asked them to decide for themselves whether computer' should be a masculine or a feminine noun. Each group was asked to give four reasons for its recommendation.

The men's group decided that 'computer' should definitely be of the feminine gender ('la computadora'), because:

1. No one but their creator understands their internal logic;

2. The native language they use to communicate with other computers is incomprehensible to everyone else;


3. Even the smallest mistakes are stored in long term memory for possible later retrieval; and

4. As soon as you make a commitment to one, you find yourself spending half your paycheck on accessories for it.

(THIS GETS BETTER!)

The women's group, however, concluded that computers should be Masculine ('el computador'), because:

1. In order to do anything with them, you have to turn them on;

2. They have a lot of data but still can't think for themselves;

3. They are supposed to help you solve problems, but half the time they ARE the problem; and

4. As soon as you commit to one, you realize that if you had waited a little longer, you could have gotten a better model.