Hi,

did you get an answer?


Best,


Peter


Am 10.01.2018 um 17:12 schrieb Marshall Schor:
> I'm pinging some people who might know something about LanguageWare's use of
> this feature. -Marshall
>
>
> On 1/10/2018 6:07 AM, Peter Klügl wrote:
>> Hi,
>>
>>
>> Am 10.01.2018 um 10:57 schrieb Richard Eckart de Castilho:
>>>> On 16.12.2017, at 13:48, Peter Klügl <peter.klu...@averbis.com> wrote:
>>>>
>>>>> Is it a problem for us to simply implement Matthias's solution: Make use
>>>>> of the parameters in the PearSpecifier and just set them in the wrapped
>>>>> analysis engine description if they are compatible?
>>>>>
>>>> Are there any opinions on this?
>>> First, I was a bit confused and though the "PearSpecifier" would be
>>> this guy here [1]. The I realized it is this one [2].
>>>
>>> Looking at where the parameters of the PearSpecifier are used: apparently 
>>> the
>>> setParameter and getParameter are only ever called directly in unit tests.
>>>
>>> Does it mean that the frameworks so far does not make any use of these 
>>> parameter
>>> as all? Or maybe they are used via some inherited methods...?
>>>
>>> It sounds reasonable to me that these parameters are forwarded to the 
>>> top-level
>>> component in the PEAR - the question I am asking myself is though: why 
>>> doesn't
>>> this already happen and (maybe) what else where these PearSpecifier 
>>> parameters
>>> intended to do then?
>> Yes, these are exactly the questions we had :-)
>>
>> I rather wanted to ask twice before I open an issue or implement
>> something. Could always be that I missed something. Initially, I thought
>> that the IBM guys (LanguageWare) made massive use of the PEAR concept
>> and they surely had some possibility to configure their PEARs.
>>
>> Best,
>>
>> Peter
>>
>>
>>> Cheers,
>>>
>>> -- Richard
>>>
>>> [1] 
>>> http://uima.apache.org/d/uimaj-current/references.html#ugr.ref.pear.installation_descriptor
>>> [2] 
>>> http://uima.apache.org/d/uimaj-current/references.html#ugr.ref.pear.specifier

-- 
Peter Klügl
R&D Text Mining/Machine Learning

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