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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