Entretiens / Interviews / EntrevistasLebert, Marie
Science
Entretiens / Interviews / Entrevistas
Lebert, Marie
Internet; World Wide Web
With regard to research, the main breakthrough I see was led by a colleague at
ISI (I am proud to say), Kevin Knight. A team of scientists and students last
summer at Johns Hopkins University in Maryland developed a faster and otherwise
improved version of a method originally developed (and kept proprietary) by IBM
about 12 years ago. This method allows one to create a machine translation (MT)
system automatically, as long as one gives it enough bilingual text. Essentially
the method finds all correspondences in words and word positions across the two
languages and then builds up large tables of rules for what gets translated to
what, and how it is phrased.
Although the output quality is still low -- no-one would consider this a final
product, and no-one would use the translated output as is -- the team built a
(low-quality) Chinese-to-English MT system in 24 hours. That is a phenomenal
feat -- this has never been done before. (Of course, say the critics: you need
something like 3 million sentence pairs, which you can only get from the
parliaments of Canada, Hong Kong, or other bilingual countries; and of course,
they say, the quality is low. But the fact is that more bilingual and
semi-equivalent text is becoming available online every day, and the quality
will keep improving to at least the current levels of MT engines built by hand.
Of that I am certain.)
Other developments are less spectacular. There's a steady improvement in the
performance of systems that can decide whether an ambiguous word such as "bat"
means "flying mammal" or "sports tool" or "to hit"; there is solid work on
cross-language information retrieval (which you will soon see in being able to
find Chinese and French documents on the Web even though you type in
English-only queries), and there is some rather rapid development of systems
that answer simple questions automatically (rather like the popular web system
AskJeeves, but this time done by computers, not humans). These systems refer to
a large collection of text to find "factiods" (not opinions or causes or chains
of events) in response to questions such as "what is the capital of Uganda?" or
"how old is President Clinton?" or "who invented the xerox process?", and they
do so rather better than I had expected.
= What do you think about e-books?
E-books, to me, are a non-starter. More even that seeing a concert live or a
film at a cinema, I like the physical experience holding a book in my lap and
enjoying its smell and feel and heft. Concerts on TV, films on TV, and e-books
lose some of the experience; and with books particularly it is a loss I do not
want to accept. After all, it's much easier and cheaper to get a book in my own
purview than a concert or cinema. So I wish the e-book makers well, but I am
happy with paper. And I don't think I will end up in the minority anytime soon
-- I am much less afraid of books vanishing than I once was of cinemas
vanishing.
= What is your definition of cyberspace?
Public-domain text, read in full here on John Shaqi.
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