Computers can beat chess champion Gary Kasparov at his game ， count all the atoms in a nuclear explosion ， and calculate complex figures in a fraction of a second ， but they still fail at the slight differences in language translation ． Artificial Intelligence computers have large amounts of memory ， capable of storing huge translating dictionaries and extensive lists of grammar rules ． Yet ， today's best computer language translators have just a 60 percent accuracy rate ． Scientists are still unable to program the computer with human-like common sense reasoning power ．

Computer language translation is called Machine Translation ， or MT ． While not perfect ， MT is surprisingly good ． MT was designed to process dry ， technical language that people find tedious to translate ． Computers can translate basic phrases ， such as “You foot bone's connected to your ankle bone ， your ankle bone's connected to your leg bone ． ”They can translate more difficult phrases ， such as “Which witch is which?” Computers can also accurately translate “Wild thing ， you make my heart sing!” into other languages because they can understand individual words ， as long as the words are pre-programmed in their dictionary ．

But highly sensitive types of translating ， such as important diplomatic conversations ， are beyond the scope of computer translating programs ． Human translators use intuitional meaning ， not logic ， to process words and phrases into other languages ． A human can properly translate the phrase ， “The pen is in the pen （圍養(yǎng)禽畜的圈）， ” because most humans know that it means that a writing instrument is in a small enclosed space ． Many times ， computers do not have the ability to determine in which way two identical words in one sentence are to be used ．

In addition to using massive rule-programmed machines ， computer programmers are also trying to teach computers to learn how to think for themselves through the “experience” of translating ． Even with these efforts ， programmers admit that a “thinking” computer might not ever be invented in the future ．

1 ． Computers today are capable of ．

A ． defeating the best chess player in the world ．

B ． telling subtle differences between languages

C ． translating over 60 percent of difficult texts ．

D ． doing human-like common sense reasoning

2 ． According to the passage ， which of the following is NOT true?

A ． Computers can translate dry and difficult phrase ．

B ． Computers can understand sensitive language ．

C ． Computers can translate technical language

D ． Computers can understand pre-programmed word ．

3 ． The major problem with computer translating programs is that computers ．

A ． can not translate illogical sentences

B ． do not have a large enough capacity of memory

C ． can not understand grammatical rules

D ． do not have intuition to process language

4 ． To improve machine translation ， computer programmers are trying to ．

A ． use powerful rule-programmed computers

B ． teach computers to think by practice

C ． have computers compile translating dictionaries

D ． add explanations of words in computer programs

5 ． The passage suggests that ．

A ． the accuracy rate of machine translation cannot be raised

B ． it is impossible for computers to think as humans do

C ． only technical language is suitable for machine translation

D ． it is impossib1e to determine of identical words

1 ． A 2 ． B 3 ． A 4 ． B 5 ． B

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