Linguistic Analysis API
Welcome to the Linguistic Analysis API Forum
Categories
API – Any ideas or feedback pertaining to features or enhancements to Linguistic Analysis API.
Documentation – Any ideas or suggestions for the API Reference or Documentation.
Language Support – Submit a request to have a particular language supported.
Samples & SDK Request – Let us know if you would like to see a Code sample or SDK provided.
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Where is the linguistics API???
It's exactly what i need and i can't find it anywhere...
3 votes -
Very disappointed of Microsoft's decision to remove this API
The bulk of Cognitive Services are prototypes, that are not very useful beyond "hello world". The one service that I was counting on to is the Linguistics Analytics API. I am very disappointed of the recent announced that it will be discontinued.
4 votes -
Provide Linguistic Analysis API Keys
My 30 day trial is expired. There is no way to renew that I can see, there is no option to subscribe in Azure.
For now I'm using Google Natural Language (which does provide some lemmas - not as good as Office NLP but OK).
1 vote -
Analysed text does not get displayed
Hi,
I found a bug when I try the following text : I'm working in InnovalusBut the POS Tags and Tokens are getting extracted.
(TOP (S (NP (PRP I)) (VP (VBP 'm) (VP (VBG working) (PP (IN in) (NP (NNP Innovalus)))))))[I'm] text is not handled, but when I expand it to [I am] it is working fine.
1 vote -
Combine the tag with the token side by side in the results
Hi,
Currently, it isn't easy to parse the results. Fetching this:
(TOP (SBARQ (WHADVP (WRB How)) (SQ (VP (VBP are)) (NP (PRP you)) (NN today) (. ?))))
requires a lot of string manipulation. In a scenario where you'd want to keep only the verbs, you'd have a lot of work. Why not doing something similar as what Stanford does? So, in the results, we'd have the tokens and their corresponding tag side by side like this for instance:
{
"Len": 5,
"NormalizedToken": "Hello",
"Offset": 16,
"RawToken": "Hello",
"Tag":"UH"
}that'd make it easier to extract only tags you're interested in…
1 vote -
Complete Swagger specification
The Swagger spec for the API is incomplete. It is missing response definitions for each of the operations available.
1 vote -
Linguistics Analysis: correct categorization of speech disfluency
Currently, speech parts such as "um" and "like" appear to be categorized as nouns or adverbs (depending on context). It would be great to detect these speech disfluencies. I have an idea for an app to help with feedback for public speaking.
1 vote -
Lemma detail in token result
It would be nice if linguistic api token result includes lemma for the word.
Part of speech with it even better. (to catch the standard with other NLP libraries.
2 votes
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