Moses-support Digest, Vol 162, Issue 15

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Today's Topics:

1. online rule-based and statistical MT engines (Pierre Lison)


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Message: 1
Date: Mon, 20 Apr 2020 15:37:10 +0000
From: Pierre Lison <plison@nr.no>
Subject: [Moses-support] online rule-based and statistical MT engines
To: moses-support <moses-support@mit.edu>
Message-ID: <404B6835-AAE2-430F-93E8-CFBAF4938158@nr.no>
Content-Type: text/plain; charset="us-ascii"


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. 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 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?

--
Pierre Lison, Senior Research Scientist
Norsk Regnesentral / Norwegian Computing Centre
Web: http://nr.no/~plison




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End of Moses-support Digest, Vol 162, Issue 15
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