pos-tag | Part of speech tagger using NlpTools | Speech library
kandi X-RAY | pos-tag Summary
kandi X-RAY | pos-tag Summary
Pos-tag aims at providing the world with a cli application for part of speech tagging using Maxent models from [NlpTools] It is the product of [these series of posts] and the original aim was only for the Greek language.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Execute the command
- Gets the feature functions
- Configures the command .
- Create a new PositionSet from a file
- Output features .
- Get the list of features for each token .
- Get long version
pos-tag Key Features
pos-tag Examples and Code Snippets
Community Discussions
Trending Discussions on pos-tag
QUESTION
I'm using spaCy '3.0.0rc2'
with a custom model. Unfortunately my training data is low in hyphens (-), therefore the hyphen often gets tagged as NOUN
.
Is there some way to force a certain tag
or pos
, to make sure that all the -
tokens get tagged with PUNCT
?
Basically I am looking for a solution like proposed in the answer to this question here: How to force a pos tag in spacy before/after tagger?
Unfortunately this does not seem to work anymore (at least for spaCy 3) and raises an error:
...ANSWER
Answered 2021-Jan-13 at 11:50In spaCy v3, exceptions like this can be implemented in the attribute_ruler
component:
QUESTION
I am trying to extract POS tags information from the following dataset
...ANSWER
Answered 2021-Feb-17 at 21:46Okay, I see the problem. Well, the three problems.
Problem 1.prepareData
variable names
You're not copying from the tutorial you used carefully.
This is how they define prepareData
:
QUESTION
this is my first question here ever.
I'm trying to extract only the word forms from a text corpus and write them into a text file.
the corpus looks like this:
...ANSWER
Answered 2021-Jan-31 at 17:33You're executing:
QUESTION
For my Bachelorthesis I need to train different word embedding algorithms on the same corpus to benchmark them. I am looking to find preprocessing steps but am not sure which ones to use and which ones might be less useful.
I already looked for some studies but also wanted to ask if someone has experience with this.
My objective is to train Word2Vec, FastText and GloVe Embeddings on the same corpus. Not too sure which one now, but I think of Wikipedia or something similar.
In my opinion:
- POS-Tagging
- remove non-alphabetic characters with regex or similar
- Stopword removal
- Lemmatization
- catching Phrases
are the logical options.
But I heard that stopword removal can be kind of tricky, because there is a chance that some embeddings still contain stopwords due to the fact that automatic stopword removal might not fit to any model/corpus.
Also I have not decided if I want to choose spacy or nltk as library, spacy is mightier but nltk is mainly used at the chair I am writing.
...ANSWER
Answered 2020-Dec-26 at 17:11Preprocessing is like hyperparameter optimization or neural architecture search. There isn't a theoretical answer to "which one should I use". The applied section of this field (NLP) is far ahead of the theory. You just run different combinations until you find the one that works best (according to your choice of metric).
Yes Wikipedia is great, and almost everyone uses it (plus other datasets). I've tried spacy and it's powerful, but I think I made a mistake with it and I ended up writing my own tokenizer which worked better. YMMV. Again, you just have to jump in and try almost everything. Check with your advisor that you have enough time and computing resources.
QUESTION
I have to implement a --pos flag in Python and create a new condition if it exists, but argparse does not recognize it when I enter it in the command line argument.
...ANSWER
Answered 2020-Dec-03 at 01:12In your code you are defining a "positional argument" which is not what you want. If you want to implement a flag (true/false) --pos
just do that.
QUESTION
I'm trying to POS-tag some sentences in Italian with Apertium's tagger. While according to the Apertium GitHub page I am supposed to get as output also the surface form in addition to the morphological analysis, I only get the analysis. I want also the surface form. I cannot infer it since the tagger doesn't necessarily tag a single token, so I cannot simply tokenize the original sentence and loop over it or zip it with the tagger's output.
According to the GitHub page:
...ANSWER
Answered 2020-Nov-18 at 21:29By default, when creating a tagger of language ita
it looks for /usr/share/apertium/modes/ita-tagger.mode
. This is a shell script that calls various apertium commands. The command for the Italian tagger script happens to be configured to not include surface commands (it's missing the -p
option).
A quick and dirty solution is to just sudo vim /usr/share/apertium/modes/ita-tagger.mode
(or sudo nano
or whatever your editor is) and add -p
to the end of the last command, so the file looks like
QUESTION
I'm trying to write a Python code that does Aspect Based Sentiment Analysis of product reviews using Dependency Parser. I created an example review:
"The Sound Quality is great but the battery life is bad."
The output is : [['soundquality', ['great']], ['batterylife', ['bad']]]
I can properly get the aspect and it's adjective with this sentence but when I change the text to:
"The Sound Quality is not great but the battery life is not bad."
The output still stays the same. How can I add a negation handling to my code? And are there ways to improve what I currently have?
...ANSWER
Answered 2020-Oct-31 at 07:16You may wish to try spacy
. The following pattern will catch:
- a noun phrase
- followed by
is
orare
- optionally followed by
not
- followed by an adjective
QUESTION
I am running the StanfordCoreNLP server through my docker container. Now I want to access it through my python script.
Github repo I'm trying to run: https://github.com/swisscom/ai-research-keyphrase-extraction
I ran the command which gave me the following output:
...ANSWER
Answered 2020-Oct-07 at 08:08As seen in the log, your service is listening to port 9000 inside the container. However, from outside you need further information to be able to access it. Two pieces of information that you need:
- The IP address of the container
- The external port that docker exports this 9000 to the outside (by default docker does not export locally open ports).
To get the IP address you need to use docker inspect
, for example via
QUESTION
The steps i followed are:
- Ansible login as root user
- Update Server pacakges
- Create a user called deploy
- Clone a Git Repository from bitbucket.org
I want to clone the repository as deploy user in his home directory using ssh forwarding method.
But the issue is that, I am not able to get permissions even through ssh forwarding and the error returns as :Doesn't have rights to access the repository.
My inventory file:
...ANSWER
Answered 2020-May-10 at 04:52We have alternative solution, using HTTP
instead of SSH
:
For GitHub:
- Generate a
Token
from link: https://github.com/settings/tokens - Give permission with
scope: repo
(full control of private repositories) - Use that token
git+https://:x-oauth-basic@github.com//.git#
For BitBucket:
- Generate a random
Password
for your repo from link: https://bitbucket.org/account/settings/app-passwords - Give permission with scope
Repositories: Read
- Use that password to clone your repo as:
git clone https://:@bitbucket.org//.git
Hope this could be an alternative for the solution.
QUESTION
ANSWER
Answered 2020-Apr-22 at 09:13In python \b
inside a String is resolved to a backspace character. Therefore you see the white BS in the picture, becuase the console tries to represent this special character (BS for backspace).
What you need to do is to escape the \ inside your String like so
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pos-tag
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page