Damiano,
There is a lot of research on spelling correction. Here is a paper from a
group our of the National Library of Medicine
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2137159/
<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2137159/>. They also have a
product called GSpell
https://lexsrv3.nlm.nih.gov/LexSysGroup/Projects/gSpell/current/GSpell.html
<https://lexsrv3.nlm.nih.gov/LexSysGroup/Projects/gSpell/current/GSpell.html>
which uses the NLM lexicon. It might not work of OpenNLP (too english-based)
but things to look into. I dabble into the spelling correction field, but have
not worked serious in it. I’d be willing to help on this project, but i don’t
have a lot of time.
Daniel
> On Jul 1, 2017, at 7:20 PM, Suneel Marthi <[email protected]> wrote:
>
> u could also leverage Language Models for spell correction, OpenNLP has
> stupid-backoff implementation - create a language model with that algorithm
> and use that for spell checks.
>
> On Sat, Jul 1, 2017 at 2:43 PM, Damiano Porta <[email protected]>
> wrote:
>
>> I also read about Noisy channel. I could work on this if you think it is
>> good.
>>
>> Damiano
>>
>> Il 1 lug 2017 20:16, "Suneel Marthi" <[email protected]> ha scritto:
>>
>>> 'Spelling Correction' has been the most popular ask from audience at my
>>> recent NLP talks, it would be great to have this feature in OpenNLP.
>>>
>>> I am not aware of any papers on this, but the first thing that comes to
>>> mind and is irrelevant is the 'Noisy channel'.
>>>
>>>
>>>
>>> On Sat, Jul 1, 2017 at 2:04 PM, Damiano Porta <[email protected]>
>>> wrote:
>>>
>>>> Hello everybody,
>>>> i am dealing with data normalization on very bad sentences with many
>>>> spelling errors.
>>>>
>>>> Do you know a good paper to understand how to build a model that will
>> fix
>>>> this kind of problem?
>>>> I can share the code without problems if you are interested in
>>> integrating
>>>> it into OpenNLP.
>>>>
>>>> Thanks
>>>> Damiano
>>>>
>>>
>>
