untangling_the_web

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For each supported language, Fagan Finder also provides a separate page with
useful information about the language, translations, and links to other related sites.
Fagan Finder does offer a complete list of supported languages, though there is no
link to it from either the Fagan Finder home page or translation wizard page (the link
is below). There is also a separate page listing all the translators invoked by Fagan
Finder and a page devoted to the translation wizard's language identification tool.
Fagan Finder Translation Wizard
http://www.faganfinder.com/translate/
Fagan Finder Translation Wizard Languages Page
http://www.faganfinder.com/translate/language.php
Fagan Finder Translation Wizard List of Translators
http://www.faganfinder.com/translate/tool. php
Fagan Finder Translation Wizard Language Identification
http://www.faganfinder.com/translate/identify.php
Google's Arabic +-+ English Webpage and Text
http://www.google.com/language tools
Until recently, the only free online Arabic/English webpage translation tool was the
Tarjim Site for Online Translation using the Sakhr translation software, where
registration was required. Late last week Google introduced Arabic +-+ English text
and-more importantly-webpage or uri translations to its language tools page.
Here's what Google had to say about its new tool:
"Because we want to provide everyone with access to all the world's information,
including information written in every language, one of the exciting projects at
Google Research is machine translation. Most state-of-the-art commercial
machine translation systems in use today have been developed using a rulesbased
approach and require a lot of work by linguists to define vocabularies and
grammars.
Several research systems, including ours, take a different approach: we feed the
computer with billions of words of text, both monolingual text in the target
language, and aligned text consisting of examples of human translations between.
the languages. We then apply statistical learning techniques to build a translation
model. We have achieved very good results in research evaluations.
Now you can see the results for yourself. We recently launched an online version
of our system for Arabic-English and English-Arabic. Try it out! Arabic is a very
challenging language to translate to and from: it requires long-distance
reordering of words and has a very rich morphology. Our system works better for
some types of text (e.g. news) than for others (e.g. novels) - and you probably
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