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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