El 2020-04-20 16:40, Pierre Lison escribió: > Hi everyone, > > I'm currently teaching a NLP course with a part on machine > translation, and I would like my students to get a feeling for the > advantages and shortcomings of various MT approaches, and in > particular contrast the kind of translations you can get using either > rule-based, statistical or neural techniques. It's a bachelor course, > so I don't expect my students to be able to build or even install > their own MT system -- I would just like them to obtain translations > from online APIs and understand at a high-level how these translations > were generated, and what kind of translation errors may arise. > > There are of course a plethora of websites offering neural machine > translation (Google Translate, DeepL, Bing, etc.), but I'm struggling > to find online services still offering either rule-based MT (for > instance transfer-based) or phrase-based statistical MT. The only > thing I found so far was Apertium and Gramtrans (which both provide a > rule-based MT engine), but Apertium is quite restricted when it comes > to supported language pairs, and Gramtrans' engine seem to be down, at > least for some languages. > > Any suggestions? >
For rule-based there is also ProMT and Morphologic: https://www.online-translator.com/ http://www.webforditas.hu/translation As you are from Norway, you could get them to compare North Sámi to Norwegian with Apertium and e.g. Baidu: https://twitter.com/unhammer/status/1247491836526170116 https://imgur.com/a/m91SbRw :) Fran _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
