[Corpora-List] Interlingual Machine Translation Systems (fwd)

[Sergey Protasov]

Ok, Yorick,

We should define the term "good" of MT systems.

If we take arbitraty sentences from some very big not specialized
english corpus and translate it, using expert-man-translator, we have
about 80-90% correctly translated sentences.
Let's define this as the best quality of translation.

So "good" translation is about 45-50% of correct sentences.

And satisfactory - about 20% of correct sentences. (logarithm scale)

I think, Systran and any other MT system can translate correctly not
more than one percent of sentences, arbitrary selected from big corpus.

This is not "good" in any case, IMHO.

If I wrong about 1% - let me know please.

Im sorry for my bad english.


Yorick WIlks wrote:
> This reply from Russia is total nonsense, unless "good" means something
> utterly impractical. There are many evaluated MT systems that do a
> reasonable job (i.e. giving a good indication of what a document says)
> and some are available free on search sites as well all know. The
> world's oldest and strongest system SYSTRAN sometimes does a very good
> job. recommending a  20 word MT system shows utter ignorance of the last
> forty years.
> Yorick Wilks
>
>
> On Friday, November 19, 2004, at 12:18 PM, Sergey Protasov wrote:
>
>>
>> Eric,
>>
>> There are no good MT systems today at all.
>> So there are no good opensource MT systems today.
>>
>> ThoughtTreasure is very big system for teaching and it have bad syntax
>> parser. (It fails, if senstence have more that 7-10 words)
>>
>> I recommend you to see link grammar translator for teaching.
>> http://www.link.cs.cmu.edu/link/submit-to-translator.html
>> It show very good translations, but It have 20 words in vocab only..
>>
>> You can add more words... But it is not trivial...
>>
>> If you intresting in statistical mashine translation, forget I said
>> before and go to here
>>
>> http://www.isi.edu/licensed-sw/rewrite-decoder/
>>
>>
>> It simple, but you will do not know how it works..
>>
>>
>>
>> --
>> Sergey Protasov
>> PhD student in Computational Linguistics,
>> Moscow Institute of Physics and Technology
>>
>>
>>
>>
>> Eric Atwell wrote:
>>
>>> Sergey,
>>> do you have any evaluation report or other evidence of how good this
>>> OpenSource MT system is?  Bogdan Babych, researcher here at Leeds,
>>> is thinking of developing a demo MT system for research and teaching,
>>> but it may be worth considering adapting  an existing oepn-source system
>>> regards
>>> Eric Atwell
>>
>>
>>
>>
>
>