Hello,

The stemmer algorithm implemented in OpenNLP is this one:

https://tartarus.org/martin/PorterStemmer/

Regarding the "null" lemma, are you using OpenNLP to lemmatize?

Rodrigo

On Fri, Jul 7, 2017 at 5:47 AM, Ling <lingv...@gmail.com> wrote:
> I use it indirectly through another library, there is a function
> token.getLemma().
>
> On Jul 6, 2017 7:24 PM, "John Stewart" <cane.c...@gmail.com> wrote:
>
>> I'm asking because I thought there are no pre-trained models for the
>> lemmatizer. How are you using it exactly?  There's also an option to use a
>> dictionary, e.g.
>> https://stackoverflow.com/questions/38982423/opennlp-lemmatization-example
>>
>> AFAIK the models in 1.8.1 are the same as 1.5.3
>>
>> jds
>>
>> On Thu, Jul 6, 2017 at 6:26 PM, Ling <lingv...@gmail.com> wrote:
>>
>> > The openNLP1.5.3. I will update to 1.8.1 version after this week, if it's
>> > an issue due to old models.
>> >
>> > Thanks.
>> >
>> > On Thu, Jul 6, 2017 at 3:19 PM, John Stewart <cane.c...@gmail.com>
>> wrote:
>> >
>> > > What model or dictionary are you using with the lemmatizer?
>> > >
>> > > jds
>> > >
>> > > On Thu, Jul 6, 2017 at 6:05 PM, Ling <lingv...@gmail.com> wrote:
>> > >
>> > > > Hi, the problem with lemma is that, for "tmoble", the lemma returned
>> by
>> > > > openNLP is "null", not "tmoble".
>> > > >
>> > > > Why is it?
>> > > >
>> > > > On Mon, Jul 3, 2017 at 6:54 PM, Rakesh P <rakeshbe...@gmail.com>
>> > wrote:
>> > > >
>> > > > > Hi,
>> > > > > Stemmer works based on some predefined rules. Examples for rules
>> are
>> > > > "word
>> > > > > that ends with 'e'". So, if you want to get a meaning word after
>> > > > > preprocessing, then better use lemmatization.
>> > > > >
>> > > > > Regards,
>> > > > > Rakesh P
>> > > > >
>> > > > > > On 03-Jul-2017, at 10:24 PM, Ling <marlon...@gmail.com> wrote:
>> > > > > >
>> > > > > > Hi, I noticed that some words are stemmed like the following:
>> > > > > >
>> > > > > > iphone ->  iphon
>> > > > > > tmobile -> T-mobil
>> > > > > >
>> > > > > > Is there some parameter to control this behavior? In such cases,
>> > > those
>> > > > > > stems are actually harmful, making them become unknown words in
>> > text.
>> > > > > Since
>> > > > > > these are quite common, I am just curious whether there is a way
>> to
>> > > > > change
>> > > > > > the default behavior.
>> > > > > >
>> > > > > > Thanks.
>> > > > > > Ling
>> > > > >
>> > > >
>> > >
>> >
>>

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