Re: [Apertium-stuff] GSOC-2020

2020-03-06 Thread Himanshu choudhary
Thank you. I will look into it.

On Fri, Mar 6, 2020, 2:03 PM Kevin Brubeck Unhammer 
wrote:

> Himanshu choudhary
> 
> čálii:
>
> > Also can you please give me an overview of how and where I can use the
> > neural methods in Apertium. I am really interested to work on those
> > projects.
>
> https://github.com/apertium/lttoolbox/issues/78 is one such, though
> that alone probably isn't a GsoC-sized task.
>
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Re: [Apertium-stuff] GSOC-2020

2020-03-05 Thread Himanshu choudhary
Hi,
Thanks for the reply, I totally understand the need for the languages, even
I have done and published some research work on Indian Languages.  That's
why I got interested and want to contribute to Apertium. As we have to use
rule-based learning so as a native speaker I can only work on Hindi but I
have seen no mentor knows it, so I just wanted to know can I still work and
write a proposal for that?
Also can you please give me an overview of how and where I can use the
neural methods in Apertium. I am really interested to work on those
projects.
Thank You


On Fri, Mar 6, 2020, 8:14 AM Jonathan Washington <
jonathan.n.washing...@gmail.com> wrote:

> Hi Himanshu,
>
> Apertium generally isn't looking for "some developer" to write MT
> systems.  The community is usually looking for people who know a language
> and care about it.
>
> Also, there are over 150 million speakers of those languages combined, so
> I'm not sure how rare it is to find developers who know one of them.
>
> This all being said, there are interesting ways to augment Apertium with
> neural methods.  I believe the community is open to projects that do this,
> so if you're interested in pursuing that sort of project, there may be
> viable options.
>
> --
> Jonathan
>
> чт, 5 мар. 2020 г. в 15:33, Himanshu choudhary <
> himanshuchoudhary_bt2...@dtu.ac.in>:
>
>> Ok thanks
>>
>> On Fri, Mar 6, 2020, 1:49 AM Scoop Gracie  wrote:
>>
>>> It needs to be rule based.
>>>
>>> On Thu, Mar 5, 2020, 12:06 Himanshu choudhary <
>>> himanshuchoudhary_bt2...@dtu.ac.in> wrote:
>>>
>>>> Hi,
>>>>
>>>> I just want to ask can't we use Neural machine translation or
>>>> unsupervised machine translation rather than rule-based learning for the
>>>> task "Apertium English--Hausa/Igbo/Swahili/Tigrinya/Yoruba". As I got some
>>>> open-source data for some of these languages and I believe neural machine
>>>> translation can produce better results and also we don't need to have a
>>>> knowledge of the morphology and grammar of that particular language as it
>>>> is very rare that some developer has the knowledge of these languages.
>>>> Please let me know if I can proceed with it or I have to apply rule-based
>>>> learning. so that I can move forward.
>>>>
>>>> Thank you
>>>>
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Re: [Apertium-stuff] GSOC-2020

2020-03-05 Thread Himanshu choudhary
Ok thanks

On Fri, Mar 6, 2020, 1:49 AM Scoop Gracie  wrote:

> It needs to be rule based.
>
> On Thu, Mar 5, 2020, 12:06 Himanshu choudhary <
> himanshuchoudhary_bt2...@dtu.ac.in> wrote:
>
>> Hi,
>>
>> I just want to ask can't we use Neural machine translation or
>> unsupervised machine translation rather than rule-based learning for the
>> task "Apertium English--Hausa/Igbo/Swahili/Tigrinya/Yoruba". As I got some
>> open-source data for some of these languages and I believe neural machine
>> translation can produce better results and also we don't need to have a
>> knowledge of the morphology and grammar of that particular language as it
>> is very rare that some developer has the knowledge of these languages.
>> Please let me know if I can proceed with it or I have to apply rule-based
>> learning. so that I can move forward.
>>
>> Thank you
>>
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[Apertium-stuff] GSOC-2020

2020-03-05 Thread Himanshu choudhary
Hi,

I just want to ask can't we use Neural machine translation or unsupervised
machine translation rather than rule-based learning for the task "Apertium
English--Hausa/Igbo/Swahili/Tigrinya/Yoruba". As I got some open-source
data for some of these languages and I believe neural machine translation
can produce better results and also we don't need to have a knowledge of
the morphology and grammar of that particular language as it is very rare
that some developer has the knowledge of these languages. Please let me
know if I can proceed with it or I have to apply rule-based learning. so
that I can move forward.

Thank you
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Re: [Apertium-stuff] GSOC-2020

2020-02-28 Thread Himanshu choudhary
Ok, thanks

On Fri, Feb 28, 2020, 10:06 PM Sevilay Bayatlı 
wrote:

> Hello,
>
> In this link http://wiki.apertium.org/wiki/Ideas_for_Google_Summer_of_Code
> you can choose  the  idea  to contribute to the project.
>
> Sevilay
>
> On Fri, 28 Feb 2020, 19:14 Himanshu choudhary, <
> himanshuchoudhary_bt2...@dtu.ac.in> wrote:
>
>> My name is Himanshu, I am currently studying at Delhi College of
>> Engineering India. I want to know how I can contribute to Apertium. I am
>> highly interested in machine translation tasks and want to work on an
>> open-source project. I had also addressed some same issues in my research
>> papers as in Apertium.
>>
>> Previously I have also worked on Neural machine translation for
>> less-resourced morphologically rich Indian languages. One of my papers got
>> accepted in EMNLP (WMT) -2018 and the current one in LREC-2020.
>>
>> Can you please guide me how can I start working and contributing to some
>> similar tasks in Apertium. I am experienced in working on machine
>> translation models please help me so that I can work efficiently and will
>> also be able to contribute and can create a strong application for GSOC
>> 2020.
>>
>>
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[Apertium-stuff] GSOC-2020

2020-02-28 Thread Himanshu choudhary
My name is Himanshu, I am currently studying at Delhi College of
Engineering India. I want to know how I can contribute to Apertium. I am
highly interested in machine translation tasks and want to work on an
open-source project. I had also addressed some same issues in my research
papers as in Apertium.

Previously I have also worked on Neural machine translation for
less-resourced morphologically rich Indian languages. One of my papers got
accepted in EMNLP (WMT) -2018 and the current one in LREC-2020.

Can you please guide me how can I start working and contributing to some
similar tasks in Apertium. I am experienced in working on machine
translation models please help me so that I can work efficiently and will
also be able to contribute and can create a strong application for GSOC
2020.
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