I believe it must use C++, so nltk won't work. On Wed, Feb 26, 2020, 23:17 Rajarshi Roychoudhury <rroychoudhu...@gmail.com> wrote:
> Formally i present my idea in this form: > From my understanding of RBMT , > > The RBMT system contains: > > - a *SL morphological analyser* - analyses a source language word and > provides the morphological information; > - a *SL parser* - is a syntax analyser which analyses source language > sentences; > - a *translator* - used to translate a source language word into the > target language; > - a *TL morphological generator* - works as a generator of appropriate > target language words for the given grammatica information; > - a *TL parser* - works as a composer of suitable target language > sentences > > I propose a 6th component of the RBMT system: *sentiment based TL > morphological generator* > > I propose that we do word level sentiment analysis of the source language > and targeted language. For the time being i want to work on English-Hindi > translation. We do not need a neural network based translation, however for > getting the sentiment associated with each word we might use nltk,or > develop a character level embedding to just find out the sentiment > assosiated with each word,and form a dictionary out of it.I have written a > paper on it,and received good results.So basically,during the final > application development we will just have the dictionary,with no neural > network dependencies. This can easily be done with Python.I just need a > good corpus of English and Hindi words(the sentiment datasets are available > online). > > The *sentiment based TL morphological generator *will generate the list > of possible words,and we will take that word whose sentiment is closest to > the source language word. > This is a novel method that has probably not been applied before, and > might generate better results. > > Please provide your valuable feedwork and suggest some necessary changes > that needs to be made. > Best, > Rajarshi > > > On Thu, 27 Feb 2020 at 11:50, Scoop Gracie <scoopgra...@gmail.com> wrote: > >> It is absolutely fine to use languages you are most comfortable with. >> >> On Wed, Feb 26, 2020, 22:18 Rajarshi Roychoudhury < >> rroychoudhu...@gmail.com> wrote: >> >>> I need to study more about RBMT to develop an idea of how to preserve >>> sentiment while translating, which I think can increase the efficiency of >>> translation. It will also help my research , thank you so much for >>> suggesting it. Also, will it be okay if I work on languages I am >>> comfortable with? Say English-Bengali or Hindi-Bengali >>> >>> On Thu, Feb 27, 2020, 11:30 Scoop Gracie <scoopgra...@gmail.com> wrote: >>> >>>> I think it is worth looking into, it is just that anything that needs a >>>> neural network is not possible. I'm sure sentiment translation is possible >>>> in RBMT too. >>>> >>>> On Wed, Feb 26, 2020, 21:58 Rajarshi Roychoudhury < >>>> rroychoudhu...@gmail.com> wrote: >>>> >>>>> Ok,then I wont pursue this idea and will look for one in the idea list >>>>> . >>>>> >>>>> On Thu, 27 Feb 2020 at 11:10, Scoop Gracie <scoopgra...@gmail.com> >>>>> wrote: >>>>> >>>>>> The main problem is that I don't believe there is a way to send >>>>>> information down the pipeline without breaking stuff. >>>>>> >>>>>> On Wed, Feb 26, 2020, 21:37 Rajarshi Roychoudhury < >>>>>> rroychoudhu...@gmail.com> wrote: >>>>>> >>>>>>> Thank you so much for the feedback,i will try to think of any other >>>>>>> way of doing this without using neural networks or propose a new project >>>>>>> >>>>>>> http://wiki.apertium.org/wiki/Apertium_for_Dummies#The_units_of_translation >>>>>>> is an excellent starting point for beginners, however it would be very >>>>>>> helpful if you could give an example of the rule based translators as >>>>>>> mentioned in the link. >>>>>>> Best, >>>>>>> Rajarshi Roychoudhury >>>>>>> >>>>>>> On Thu, 27 Feb 2020 at 10:50, Scoop Gracie <scoopgra...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> I'm not an expert in this, but given the non-neural nature of >>>>>>>> Apertium, this does not seem feasible to me, at least in the way you >>>>>>>> described. >>>>>>>> >>>>>>>> On Wed, Feb 26, 2020, 21:02 Rajarshi Roychoudhury < >>>>>>>> rroychoudhu...@gmail.com> wrote: >>>>>>>> >>>>>>>>> Hi, >>>>>>>>> I am Rajarshi Roychoudhury,a second year undergraduate student at >>>>>>>>> Jadavpur University,Kolkata,India.I have done many projects in Natural >>>>>>>>> Language Processing,mainly focussing on sentiment analysis and machine >>>>>>>>> translation. >>>>>>>>> >>>>>>>>> Most of the machine translation have no explicit preservation on >>>>>>>>> the sentiment of the original sentence,as a result a lot of >>>>>>>>> information is >>>>>>>>> lost during translation,or else it gives an inaccurate translation. >>>>>>>>> >>>>>>>>> My idea is to incorporate an information about the sentiment of >>>>>>>>> the sentence in the hidden layers of the encoder and then send it to a >>>>>>>>> decoder.I am writing currently a paper on this topic,and hopefully can >>>>>>>>> incorporate my idea into Apertium translation system.Since it is an >>>>>>>>> open >>>>>>>>> source project,it will be the best platform to reach to people. >>>>>>>>> >>>>>>>>> Kindly give feedback on whether this can be a possible project >>>>>>>>> idea,and if you have any queries on the same.Attached is my resume. >>>>>>>>> >>>>>>>>> Best, >>>>>>>>> Rajarshi Roychoudhury >>>>>>>>> >>>>>>>>> _______________________________________________ >>>>>>>>> Apertium-stuff mailing list >>>>>>>>> Apertium-stuff@lists.sourceforge.net >>>>>>>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>>>>>>> >>>>>>>> _______________________________________________ >>>>>>>> Apertium-stuff mailing list >>>>>>>> Apertium-stuff@lists.sourceforge.net >>>>>>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>>>>>> >>>>>>> _______________________________________________ >>>>>>> Apertium-stuff mailing list >>>>>>> Apertium-stuff@lists.sourceforge.net >>>>>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>>>>> >>>>>> _______________________________________________ >>>>>> Apertium-stuff mailing list >>>>>> Apertium-stuff@lists.sourceforge.net >>>>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>>>> >>>>> _______________________________________________ >>>>> Apertium-stuff mailing list >>>>> Apertium-stuff@lists.sourceforge.net >>>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>>> >>>> _______________________________________________ >>>> Apertium-stuff mailing list >>>> Apertium-stuff@lists.sourceforge.net >>>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>>> >>> _______________________________________________ >>> Apertium-stuff mailing list >>> Apertium-stuff@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >>> >> _______________________________________________ >> Apertium-stuff mailing list >> Apertium-stuff@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/apertium-stuff >> > _______________________________________________ > Apertium-stuff mailing list > Apertium-stuff@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/apertium-stuff >
_______________________________________________ Apertium-stuff mailing list Apertium-stuff@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/apertium-stuff