No I just need python to get the result, which can be written in a text file and read using c++. It won't depend on python.
On Thu, Feb 27, 2020, 21:52 Scoop Gracie <scoopgra...@gmail.com> wrote: > Oh, okay. So Python would not be needed at runtime? > > On Thu, Feb 27, 2020, 08:20 Rajarshi Roychoudhury < > rroychoudhu...@gmail.com> wrote: > >> I just need to write the dictionary I would get in python in a file and >> read it using c++. I guess I can use a map to solve my purpose. >> >> On Thu, Feb 27, 2020, 21:40 Scoop Gracie <scoopgra...@gmail.com> wrote: >> >>> 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 >>>>>>>>>>>> >>>>>>>>>>>> _______________________________________________ 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