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 <scoopgra...@gmail.com> 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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