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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