Tag Archives: machine translation

How rule-based and statistical machine translation can help each other

Here are a few suggestions on how rule-based and statistical machine translation  can help each other: (This is a follow-up to the previous post) to begin with, rule-based and statistical machine translation are often contrasted and compared: it would be … Continue reading

Posted in blog | Tagged , , , , , , | Leave a comment

Why rule-based translation is (presently) best suited to endangered languages

Here are some arguments in favor of the choice of rule-based translation concerning machine translation of endangered languages (it relates to the philosophy of language policy): there does not exist at present time a reliable corpus between the given endangered … Continue reading

Posted in blog | Tagged , , , , , , , | Leave a comment

Rough typology of remaining errors

French to Corsican: performing on French wikipedia sample test currently amounts to 93% on average. Below is a rough typology of remaining errors (presumably an average of 95% performance should be attainable on the basis of correction of ‘easy’ tagged errors): … Continue reading

Posted in blog | Tagged , | Comments Off on Rough typology of remaining errors

Word-sense disambiguation: first test of new engine

Now testing the new engine with the semantically ambiguous French ‘échecs’ = fiaschi/scacchi (failures/chess). What is interesting here is that semantic disambiguation transfers successfully into English (although the French/English engine is still in its infancy as there are still a … Continue reading

Posted in blog | Tagged , , , , , | Comments Off on Word-sense disambiguation: first test of new engine

A first 100%!

Now scoring 1 – 0/124 = 100%. Translated into Corsican ‘sartinesu’. Another Feigenbaum hit.

Posted in blog | Tagged , , | Leave a comment