Natural language parsing (NLP) with D
Laeeth Isharc via Digitalmars-d
digitalmars-d at puremagic.com
Tue Oct 20 11:43:53 PDT 2015
On Tuesday, 20 October 2015 at 16:01:41 UTC, Chris wrote:
> On Tuesday, 20 October 2015 at 15:49:18 UTC, bachmeier wrote:
>> It's not my area, but are you thinking of something like
>> Freeling?
>>
>> http://nlp.lsi.upc.edu/freeling/
>>
>> Asking for a friend. I think a C++ expert could get it to work
>> with D with little difficulty, at least by creating C
>> bindings, but I'm not a C++ expert and I failed.
>
> Interesting, I heard of it a while ago. In D I have the
> following:
>
> Text tokenization
>
> Yes.
>
> Sentence splitting
>
> Yes.
>
> Morphological analysis
>
> Yes.
>
> Suffix treatment [, retokenization of clitic pronouns]
>
> Yes.
>
> Flexible multiword recognition
>
> Yes.
>
> Contraction splitting
>
> Depends on what they mean. But I can handle contractions like
> "l'ami".
>
> Probabilistic prediction of unkown word categories
>
> No.
>
> Phonetic encoding
>
> Transcription? If so, yes.
>
> SED-based search for similar words in dictionary
>
> No.
>
> Named entity detection
>
> No.
>
> Recognition of dates, numbers, ratios, currency, and physical
> magnitudes (speed, weight, temperature, density, etc.)
>
> Partially implemented.
>
> PoS tagging
>
> Started.
>
> Chart-based shallow parsing
>
> No.
>
> Named entity classification
>
> No.
>
> WordNet-based sense annotation and disambiguation
>
> No.
>
> Rule-based dependency parsing
>
> No.
>
> Nominal correference resolution
>
> No.
>
> If anyone is interested in starting something like FreeLing in
> D, please share your thoughts.
Hi.
I am very interested in this topic (especially sentiment
analysis), and slowly I am getting a bit more firepower. I
started porting the Python version of the stanford NLP API (the
underlying code is Java) to D - it's not very complicated, but I
have too much on my plate and so it goes slowly.
I would be interested in working together on this with others,
and I don't mind open sourcing the building blocks (which is
really the time consuming bit). I hope to have some others from
D world helping me, so it should go a bit faster, although the
NLP stuff might not be the first project we work on.
Feel free to drop me an email. Laeeth
At kaleidicassociates.com
Thanks.
Laeeth
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