This is great.
You can start right away. Just let me know if you need any help to start
with. I really need few people to join in the project so that we could work
together. Right now I want to have someone start translating the web
version of the translator into php/perl/python/java code.


On Fri, Apr 13, 2012 at 1:22 PM, Bishisht Bhatta
<[email protected]>wrote:

> Hello there I am also intrested in this project. And I am also taking the
> cource through the courcera.org. Please let me know how can we start this
> project. I am very eager on this and want to start asap.
>
>
> On Thu, Apr 12, 2012 at 03:48, Rajesh Pandey <[email protected]>wrote:
>
>> @pravin: Thanks Pravin.
>> I am extracting them and creating files such as :
>>
>> http://code.google.com/p/nepaliwikipediatranslator/source/browse/trunk/NepaliWikiPediaTranslator/bin/Debug/nounlist.txt
>> from this. I will be extracting Nepali/Hindi and English texts.
>>
>> @Rakesh: You are welcome. Those NLP classes are great. I wish to get some
>> contributors for the translator, convert it to a web application, and host
>> somewhere. Lets see.
>>
>> On Thu, Apr 12, 2012 at 1:55 PM, rakesh bachchan <
>> [email protected]> wrote:
>>
>>> Well I am interested in this and will be happy to find myself in the
>>> group. I am also taking the online class of NLP currently being run by
>>> Stanford university(coursera.org).
>>>
>>> Thanking you
>>> Rakesh Kumar Bachchan
>>>
>>>   ------------------------------
>>> *From:* pravin joshi <[email protected]>
>>> *To:* FOSS Nepal <[email protected]>
>>> *Sent:* Thursday, 12 April 2012 6:53 AM
>>> *Subject:* [FOSS Nepal] Re: Natural language processing (Nepali)
>>>
>>> Just saw this mail thread. anyway below is Python code to extract all
>>> nepali words from the example of text you gave.
>>> # -*- coding: utf-8-*-
>>>
>>> data = """
>>> <page>
>>> [[en:Apple]]
>>> [[ne:स्याउ]]
>>> [[new:स्याउ]]
>>> [[hi:सेव]]
>>> [[fr:????]]
>>> </page>
>>> """
>>> def get_next_target(data):
>>>     start_link = data.find('[[ne:')
>>>     if start_link == -1:
>>>         return None, 0
>>>     start_quote = data.find('[[ne:', start_link)
>>>     end_quote = data.find(']]', start_quote + 1)
>>>     nepWord = data[start_quote + 1:end_quote]
>>>     nepWord = nepWord.split(":")[-1]
>>>     return nepWord, end_quote
>>>
>>> def get_all_nepData(data):
>>>     links = []
>>>     while True:
>>>         url, endpos = get_next_target(data)
>>>         if url:
>>>             links.append(url)
>>>             data = data[endpos:]
>>>         else:
>>>             break
>>>     return links
>>>
>>> if __name__ == "__main__":
>>>     t = get_all_nepData(data)--
>>>     for i in t:
>>>         print i
>>>
>>> Regarding autocomplete and word suggestion you might want to look at
>>> Bayes Theorem and using bulk text. You might want to read this paper
>>> thoroughly --- http://norvig.com/spell-correct.html
>>>
>>> Pravin
>>>
>>> On Apr 11, 10:00 am, Rajesh Pandey <[email protected]> wrote:
>>> > Hi Folks,
>>> > *"If any one of you are interested in this please reply, so that we
>>> could
>>> > work in this. "*
>>> >
>>> > I am interested to make a group of few people who would be interested
>>> in
>>> > data mining. If you are already involved in nlp-class.org. that would
>>> be
>>> > great as well.
>>> > Not to be confused with the word "data mining", The only thing we
>>> would do
>>> > is extract Nepali words from wiktionary database
>>> > dump<http://dumps.wikimedia.org/backup-index.html>where we would
>>> > extract Nepali words and save them so that they could be
>>> > used for various purposes.
>>> > For instance:
>>> > 1) Autocomplete
>>> > 2) Nepali corpus
>>> > 3) Nepali translator
>>> >
>>> > How "Autocomplete" works is providing suggestions while we start
>>> typing, if
>>> > we have a list of words, we can provide suggestions for the users.
>>> >
>>> > The Nepali corpus, which contains words which are tagged as "Noun",
>>> > "Adjective" etc can be created. I wish to use them in one of the "open
>>> > source translator for
>>> > Nepali<http://code.google.com/p/nepaliwikipediatranslator>"
>>> > in which I am also involved in.
>>> >
>>> > The database dump of Wiktionary has an XML file which contains a lot of
>>> > words and their English equivalents along with equivalents in other
>>> > available languages.
>>> >
>>> > For instance : There would be
>>> > <page>
>>> > [[en:Apple]]
>>> > [[ne:स्याउ]]
>>> > [[new:स्याउ]]
>>> > [[hi:सेव]]
>>> > [[fr:????]]
>>> > </page>
>>> >
>>> > etc
>>> > So we need to extract स्याउ and Apple or a list of स्याउ, केरा ,
>>> सुन्तला in
>>> > a file. So that we could suggest स्याउ when a user starts typing स  or
>>> > suggest केरा when a user starts writing क . This is autocomplete.
>>> >
>>> > When we have स्याउ and Apple, we will have a Nepali translator as well.
>>> >
>>> > ==================
>>> > Sorry for the ambiguous subject: Natural language processing: I could
>>> have
>>> > added a more specific title, or "Data mining" would have been another
>>> > subject. Thanks for your patience in reading this email :).
>>> > ======================
>>> > Want to create a web based php/python/java application [Nepali
>>> translator]
>>> > based on code.google.com/p/nepaliwikipediatranslator ?, You are
>>> welcome.
>>> > (Not .Net, because we already have a lot of stuff in .NET, and we are
>>> > looking for .net alternatives so that we could use them in Linux
>>> easily)
>>> > ======================
>>> > --
>>> > Rajesh Pandey
>>>
>>> --
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>>> http://groups.google.com/group/foss-nepal
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>>>
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>>>
>>>
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>>>
>>
>>
>>
>> --
>> Rajesh Pandey
>>
>> --
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>>
>
>
>
> --
> Regards,
> Bishisht Bhatta
> Pepsicola Townplanning-35
> Kathmandu,Nepal
> +977-(980-641-6309)
> +977-(981-352-7344)
> +977-(984-984-9525)
>
>
> ******************************************************************************************
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>
> ******************************************************************************************
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> Balkumari, Lalitpur
>
>
> ******************************************************************************************
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>
>
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-- 
Rajesh Pandey

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