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From: Hugues de Mazancourt <hugues@mazancourt.com>
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Subject: Re: New dictionary annotator
Date: Fri, 2 Dec 2016 10:32:15 +0100
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archived-at: Fri, 02 Dec 2016 09:32:30 -0000

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Cool !
Any idea of how far that near future is ?
;-)

=E2=80=94 Hugues


> Le 2 d=C3=A9c. 2016 =C3=A0 10:26, Donatas Remeika =
<donatas.remeika@gmail.com> a =C3=A9crit :
>=20
> Hi Hugues,
>=20
> Thanks for feedback. Indeed accent-insensitive matching is a needed
> feature. Will implement it in a near future.
>=20
> Best regards,
> Donatas Remeika
>=20
> On Fri, Dec 2, 2016 at 11:02 AM Hugues de Mazancourt =
<hugues@mazancourt.com>
> wrote:
>=20
>> Thanks for this contribution.
>>=20
>> Do you have any plan to make the lookup accent-insensitive ? Or any
>> knowledge of a component that would do the job ?
>> I=E2=80=99m currently using ConceptMapper outside of Ruta and =
MARKTABLE from
>> within Ruta but neither performs correctly on accents (btw, =
conceptMapper
>> is *very* slow on resource loading, which can be a problem).
>>=20
>> My point is : I have lists containing elements like =C2=AB =
=C3=A9v=C3=A9nement =C2=BB and I
>> would like text like =C2=AB EVENEMENT =C2=BB or even =C2=AB =
=C3=A9v=C3=A8nement =C2=BB to match that
>> list. Lowercasing texts is not a solution, as =C2=AB =C3=A9 =C2=BB is =
mapped to uppercase
>> =C2=AB =C3=89 =C2=BB in French locale, which has nothing to do with =
=C2=AB e =C2=BB. I guess you
>> have the same problem with latvian.
>>=20
>> Best,
>>=20
>>=20
>> Hugues de Mazancourt
>> http://about.me/mazancourt
>>=20
>>=20
>>=20
>>=20
>>> Le 30 nov. 2016 =C3=A0 15:38, Donatas Remeika =
<donatas.remeika@gmail.com> a
>> =C3=A9crit :
>>>=20
>>> Hi,
>>>=20
>>> Just wanted to let you know that we created a new (probably one =
more)
>>> dictionary annotator.
>>>=20
>>> Reasons for creating it was:
>>> - Quite often we used Ruta in our pipelines only because of its =
MARKTABLE
>>> action which is able to set several features on annotation
>>> - Sometimes dictionaries contain duplicate entries with different
>> features
>>> and we need to create annotations for each entry
>>> - Possibility to use custom dictionary entries tokenizer (default is
>>> whitespace tokenizer)
>>>=20
>>> It was inspired by both DKPro dictionary-annotator and Ruta =
MARKTABLE.
>> Big
>>> thanks to their developers!
>>>=20
>>> Code with examples can be found
>>> https://github.com/tokenmill/dictionary-annotator
>>>=20
>>> BTW, maybe someone knows Concept Mapper alternative, which is more
>> uimaFIT
>>> friendly?
>>>=20
>>> Best regards,
>>> Donatas
>>=20
>>=20


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