On 2018-08-07, Stefan Ram wrote:
> Steven D'Aprano writes:
>>In natural language, words are more complicated than just space-separated
>>units. Some languages don't use spaces as a word delimiter.
>
> Even above, the word »units« is neither directly preceded
> nor directly followed by a spac
On Fri, 03 Aug 2018 07:49:40 +, mausg wrote:
> I like to analyse text. my method consisted of something like
> words=text.split(), which would split the text into space-seperated
> units.
In natural language, words are more complicated than just space-separated
units. Some languages don't u
On 03/08/18 08:49, ma...@mail.com wrote:
I like to analyse text. my method consisted of something like
words=text.split(), which would split the text into space-seperated
units. then I tried to use the Python NLTK library, which had alot
of features I wanted, but using `word-tokenize' gives a dif
To: Sharan Basappa
From: Glenn Hutchings
On 21/06/18 04:40, Sharan Basappa wrote:
> Folks,
>
> I am trying to run a simple example associated with nltk.
> I get some error and I don't know what the issue is.
> I need some guidance please.
>
[...]
> LookupError:
> *
On 21/06/18 04:40, Sharan Basappa wrote:
> Folks,
>
> I am trying to run a simple example associated with nltk.
> I get some error and I don't know what the issue is.
> I need some guidance please.
>
[...]
> LookupError:
> **
>
In article <82c9f923-1098-4b7e-8f9d-9504c1a89...@12g2000pri.googlegroups.com>,
ArshaKrishna wrote:
>
>How can I resolve scope ambiguity using nltk toolkit with python
Question not clear, please provide more explanation
--
Aahz (a...@pythoncraft.com) <*> http://www.pythoncraft.
NLTK seems very interesting, and the tutorial are very well done.
Thanks for it !
Kib²
--
http://mail.python.org/mailman/listinfo/python-list
On Apr 12, 4:36 am, Passer By <[EMAIL PROTECTED]> wrote:
> James Stroud <[EMAIL PROTECTED]> writes:
> > Passer By wrote:
> > > James Stroud <[EMAIL PROTECTED]> writes:
>
> > >>Passer By wrote:
>
> > >>>Has any created or not of examples of random sentence generators
> > >>>using n-gram models (or o
James Stroud <[EMAIL PROTECTED]> writes:
> Passer By wrote:
> > James Stroud <[EMAIL PROTECTED]> writes:
> >
> >>Passer By wrote:
> >>
> >>
> >>>Has any created or not of examples of random sentence generators
> >>>using n-gram models (or other models might be interesting). I
> >>>know of one exa
Passer By wrote:
> James Stroud <[EMAIL PROTECTED]> writes:
>
>
>>Passer By wrote:
>>
>>
>>>Has any created or not of examples of random sentence generators
>>>using n-gram models (or other models might be interesting). I
>>>know of one example from a course at MIT, but besides that
>>>nothing.
On Apr 10, 1:59 pm, Paulo da Silva <[EMAIL PROTECTED]> wrote:
> gene tani escreveu:
>
> > On Apr 10, 1:36 am, Passer By <[EMAIL PROTECTED]> wrote:
> >> Has any created or not of examples of random sentence generators using
> >> n-gram models (or other models might be interesting).
>
> >> I know of
gene tani escreveu:
> On Apr 10, 1:36 am, Passer By <[EMAIL PROTECTED]> wrote:
>> Has any created or not of examples of random sentence generators using
>> n-gram models (or other models might be interesting).
>>
>> I know of one example from a course at MIT, but besides that nothing.
>>
>> Any hel
On Apr 10, 1:36 am, Passer By <[EMAIL PROTECTED]> wrote:
> Has any created or not of examples of random sentence generators using
> n-gram models (or other models might be interesting).
>
> I know of one example from a course at MIT, but besides that nothing.
>
> Any help would be great.
Markov ch
James Stroud <[EMAIL PROTECTED]> writes:
> Passer By wrote:
>
> > Has any created or not of examples of random sentence generators
> > using n-gram models (or other models might be interesting). I
> > know of one example from a course at MIT, but besides that
> > nothing. Any help would be great
Passer By wrote:
> Has any created or not of examples of random sentence generators using
> n-gram models (or other models might be interesting).
>
> I know of one example from a course at MIT, but besides that nothing.
>
> Any help would be great.
>
>
Best is to just cull text from your spam
15 matches
Mail list logo
