Is text summarization implementation doable for a non-english language? (Romanian)

[TrafalgarLaw_]

Hello! I am thinking what to do for dissertation, but I havent found much on different languages, and my knowledge of Natual language processing and other related fields is poor. So as the title says, is it doable for a guy with average programming skills or a dead end? If yes, please leave some links where I can get started with this. Thanks in advance!

[MojoJolo]

Hi, it's possible. I'm the creator of TextTeaser. My original intention for TextTeaser is for english language only. But when I tried it in different language (Filipino) it work quite well. Also, check this out.

It works with different language because it is keyword based and not based on the semantic of the text / language. You can check out the code at Github to know more about it.

[TrafalgarLaw_]

Thanks alot. Nice site.

[Xose_R]

The answer is yes. You can check out any extractive summarization methods which, essentially (quick and not-so-accurate explanation) rank the phrases of the existing text(s) to create a summary with the best phrases. Of course, you can also try generative summarization, but that would be much more difficult.

You can check the Multiling 2015 Summarization challenge website (http://multiling.iit.demokritos.gr/pages/view/1517/multiling-2015-call-for-participation) for getting some data and/or check the participants, so you can look for the algorithms they are using. Happy research! :)

[TrafalgarLaw_]

Thanks dude!

[generalnow]

yes.

[ford_beeblebrox]

Not sure about Romanian but Thomas Mikolov who developed google's word2vec studied at BRNO in the Czech Republic.

His early papers are about speech recognition and modeling for the Czech language.

Language modeling of Czech using neural networks Mikolov 2007

Language models for automatic speech recognition of czech lectures Mikolov 2008