wordnet | Stand-alone WordNet API | Natural Language Processing library

 by   nltk Python Version: Current License: Non-SPDX

kandi X-RAY | wordnet Summary

kandi X-RAY | wordnet Summary

wordnet is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. wordnet has build file available and it has high support. However wordnet has 3 bugs, it has 2 vulnerabilities and it has a Non-SPDX License. You can download it from GitHub.

Notice: This repository is no longer being maintained. For a standalone Python module for wordnets with a similar API, please see
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              wordnet has a highly active ecosystem.
              It has 42 star(s) with 13 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 10 open issues and 8 have been closed. On average issues are closed in 199 days. There are no pull requests.
              It has a positive sentiment in the developer community.
              The latest version of wordnet is current.

            kandi-Quality Quality

              OutlinedDot
              wordnet has 3 bugs (1 blocker, 0 critical, 2 major, 0 minor) and 32 code smells.

            kandi-Security Security

              wordnet has 2 vulnerability issues reported (0 critical, 2 high, 0 medium, 0 low).
              wordnet code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              wordnet has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              wordnet releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 1253 lines of code, 132 functions and 16 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed wordnet and discovered the below as its top functions. This is intended to give you an instant insight into wordnet implemented functionality, and help decide if they suit your requirements.
            • Return a list of synnsets for a given lemma
            • Implements Morphy
            • Calculate morphy
            • Return synset from pos and offset
            • Compute the maximum depth for a word
            • Iterate over all synsets
            • Get WordNet version number from file
            • Get version number
            • Find the root hypernyms of a synset
            • Generator for breadth - first synset
            • breadth - first search
            • Load all lemma positions
            • Parse an index line
            • Compute the maximum depth of a word
            • Compute the maximum depth for a given position
            • Load all synset
            • Parse a wordnet line
            • Iterate over an iterable
            • Return the lemma for a given word
            • Parse a lemma position index
            • Returns the synset object for the given lemma index
            • Load the exception map
            • The number of items in the list
            • Return a list of the lexnames
            • Convert a satellite to an UFO
            • Create a synset from a given sense key
            Get all kandi verified functions for this library.

            wordnet Key Features

            No Key Features are available at this moment for wordnet.

            wordnet Examples and Code Snippets

            No Code Snippets are available at this moment for wordnet.

            Community Discussions

            QUESTION

            Any way to remove symbols from a lemmatize word set using python
            Asked 2022-Mar-21 at 15:35

            I got a lemmatize output from the below code with a output words consisting of " : , ? , !, ( )" symbols

            output_H3 = [lemmatizer.lemmatize(w.lower(), pos=wordnet.VERB) for w in processed_H3_tag]

            output :-

            • ['hide()', 'show()', 'methods:', 'jquery', 'slide', 'elements:', 'launchedw3schools', 'today!']

            Expected output :-

            • ['hide', 'show', 'methods', 'jquery', 'slide', 'elements', 'launchedw3schools', 'today']
            ...

            ANSWER

            Answered 2022-Mar-21 at 04:59

            Regular Expressions can help:

            Source https://stackoverflow.com/questions/71552966

            QUESTION

            How to define lemmatizer function in a for loop to a single print function statement in python
            Asked 2022-Mar-20 at 18:10

            I need to add the function within the print function to a variable to be calledd to be printed only from the variable name.

            My code - for w in processed_H2_tag: print(lemmatizer.lemmatize(w.lower(), pos=wordnet.VERB))

            Expected - Print(output)

            "Output" is to be defined

            ...

            ANSWER

            Answered 2022-Mar-20 at 18:10

            You mean how to instead of printing get all the values into a list which you can then print?

            You can do that with a list comprehension:

            Source https://stackoverflow.com/questions/71549294

            QUESTION

            How to get result from third-party api
            Asked 2022-Mar-15 at 13:22

            I want to use a third-party api: Latin WordNet API, but I meet some problems.

            1. The api document shows how to get result by url in browser, but I don't know how to get result by other way.
            2. I try to use axios through HTML script element to get the result, like:
            ...

            ANSWER

            Answered 2022-Mar-15 at 09:48

            QUESTION

            How to change a list of synsets to list elements?
            Asked 2022-Feb-22 at 19:44

            I have tried out the following snippet of code for my project:

            ...

            ANSWER

            Answered 2022-Feb-22 at 17:23

            To access the name of these items, just do function.name(). You could use line comprehension update these items as follows:

            Source https://stackoverflow.com/questions/71225030

            QUESTION

            Python make clusters of synonyms
            Asked 2022-Feb-10 at 10:23

            I have a long list of words :

            ...

            ANSWER

            Answered 2022-Feb-10 at 10:23

            Regarding the updated question, this solution works on my machine.

            Source https://stackoverflow.com/questions/71062589

            QUESTION

            How do I get the result of every element in the following function
            Asked 2022-Feb-04 at 09:02

            I have a function which return parts of speech of every word in the form of list of tuples. When I execute it, I only get the the result of first element(first tuple). I want to get the result of every element(tuple) in that list. For eg:

            ...

            ANSWER

            Answered 2022-Feb-04 at 09:02

            As you iterate over tagged you return a value for the first item. You need to accumulate them. Appending them to a list would be one way of doing it. For example:

            Source https://stackoverflow.com/questions/70981694

            QUESTION

            Manually install Open Multilingual Worldnet (NLTK)
            Asked 2022-Jan-19 at 09:46

            I am working with a computer that can only access to a private network and it cannot send instrunctions from command line. So, whenever I have to install Python packages, I must do it manually (I can't even use Pypi). Luckily, the NLTK allows my to manually download corpora (from here) and to "install" them by putting them in the proper folder (as explained here).

            Now, I need to do exactly what is said in this answer:

            ...

            ANSWER

            Answered 2022-Jan-19 at 09:46

            To be certain, can you verify your current nltk_data folder structure? The correct structure is:

            Source https://stackoverflow.com/questions/70754036

            QUESTION

            Convert words between part of speech, when wordnet doesn't do it
            Asked 2022-Jan-15 at 09:38

            There are a lot of Q&A about part-of-speech conversion, and they pretty much all point to WordNet derivationally_related_forms() (For example, Convert words between verb/noun/adjective forms)

            However, I'm finding that the WordNet data on this has important gaps. For example, I can find no relation at all between 'succeed', 'success', 'successful' which seem like they should be V/N/A variants on the same concept. Likewise none of the lemmatizers I've tried seem to see these as related, although I can get snowball stemmer to turn 'failure' into 'failur' which isn't really much help.

            So my questions are:

            1. Are there any other (programmatic, ideally python) tools out there that do this POS-conversion, which I should check out? (The WordNet hits are masking every attempt I've made to google alternatives.)
            2. Failing that, are there ways to submit additions to WordNet despite the "due to lack of funding" situation they're presently in? (Or, can we set up a crowdfunding campaign?)
            3. Failing that, are there straightforward ways to distribute supplementary corpus to users of nltk that augments the WordNet data where needed?
            ...

            ANSWER

            Answered 2022-Jan-15 at 09:38

            (Asking for software/data recommendations is off-topic for StackOverflow; but I have tried to give a more general "approach" answer.)

            1. Another approach to finding related words would be one of the machine learning approaches. If you are dealing with words in isolation, look at word embeddings such as GloVe or Word2Vec. Spacy and gensim have libraries for working with them, though I'm also getting some search hits for tutorials of working with them in nltk.

            2/3. One of the (in my opinion) core reasons for the success of Princeton WordNet was the liberal license they used. That means you can branch the project, add your extra data, and redistribute.

            You might also find something useful at http://globalwordnet.org/resources/global-wordnet-grid/ Obviously most of them are not for English, but there are a few multilingual ones in there, that might be worth evaluating?

            Another approach would be to create a wrapper function. It first searches a lookup list of fixes and additions you think should be in there. If not found then it searches WordNet as normal. This allows you to add 'succeed', 'success', 'successful', and then other sets of words as end users point out something missing.

            Source https://stackoverflow.com/questions/70713831

            QUESTION

            "IndexError: list index out of range" When creating an automated response bot
            Asked 2022-Jan-10 at 16:32

            Im creating a Chatbot which uses questions from a CSV file and checks similarity using SKlearn and NLTK, However im getting an error if the same input is entered twice:

            This is the main code that takes the user input and outputs an answer to the user:

            ...

            ANSWER

            Answered 2022-Jan-10 at 16:24
            answer=data['A'].tolist()
            

            Source https://stackoverflow.com/questions/70655240

            QUESTION

            Python: How to speed up lemmatisation if I check the POS for each word?
            Asked 2021-Dec-31 at 01:30

            I am new to NLP. I wish to lemmatise. But understand that for WordNetLemmatizer, it depends on the type of words passed in Noun, Verb, etc.

            Hence I tried the below code but it is very slow. Basically all my text are saved in a column called "Text" in df. I use the pre_process(text) function by looping each row (Option 1) but it is v slow.

            I tried apply (Option 2) , but it just as slow. Any way to speed up? Thank you!

            ...

            ANSWER

            Answered 2021-Dec-31 at 01:30

            From a quick review of your method, I suggest you to call pos_tag outside of the for loop. Otherwise, you call this method for every word, which could be slow. This could already speed up the process a bit, depending on the complexity of pos_tag.

            Note: I suggest you using tqdm. This gives you a nice progress bar and lets you estimate how long it takes.

            Source https://stackoverflow.com/questions/70529754

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            Multiple buffer overflows in Princeton WordNet (wn) 3.0 allow context-dependent attackers to execute arbitrary code via (1) a long argument on the command line; a long (2) WNSEARCHDIR, (3) WNHOME, or (4) WNDBVERSION environment variable; or (5) a user-supplied dictionary (aka data file). NOTE: since WordNet itself does not run with special privileges, this issue only crosses privilege boundaries when WordNet is invoked as a third party component.

            Install wordnet

            While this project is no longer maintained, you can install the last release (0.0.23) from PyPI as follows:. The version number is required because the wn project on PyPI is now used by https://github.com/goodmami/wn. If you're interested in moving to the newer module, see the migration guide.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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