POS tags are not correct

[maryam-foradi]

For some words it doesn't refer to anything:
http://services.perseids.org/pysvc/morphologyservice/analysis/word?word=%D9%84%D8%B7%D9%81&lang=per&engine=hazm
For some gives wrong POS:
http://services.perseids.org/pysvc/morphologyservice/analysis/word?word=%D8%A8%DA%AF%D9%88&lang=per&engine=hazm
It refers to noun, although بگو is a verb.

[balmas]

I'm not sure if this is a problem with the way we are using hazm or something else.

the service calls tagger.tag(بگو) and gets back:
[('ب', 'N'), ('گ', 'N'), ('و', 'CONJ')]

@elijahjcooke any thoughts?

[elijahjcooke]

So the problem is for some reason Hazm is not tokenizing the text correctly. Hazm should break the text into sentences and then break it into words but for some reason is breaking the individual characters apart instead of the words.
Maryam does it happen when you send texts with multiple sentences or does it only happen when you send single sentences or single words? This will help in trying to find how to fix the tokenizing bug we are getting.

[balmas]

Arethusa currently only sends single words to the parser, not entire sentences.

[maryam-foradi]

I haven't tried it with multiple sentences, as it makes the treebanking
complicated, if not impossible.

On Wed, Feb 10, 2016 at 2:22 PM, Bridget Almas notifications@github.com
wrote:

Arethusa currently only sends single words to the parser, not entire
sentences.

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[elijahjcooke]

Ok then I might know a fix to the problem, @balmas Will Arethusa be automatically updated if change the code on github?

[elijahjcooke]

@balmas

[balmas]

Thanks! I'll deploy tomorrow!

[balmas]

ah, sorry misunderstood the question here .. the morphology service api will not be automatically updated but I'm happy to deploy for testing when you're ready.