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

Reply via email to