word_forms | Accurately generate all possible forms | Natural Language Processing library
kandi X-RAY | word_forms Summary
kandi X-RAY | word_forms Summary
word_forms is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. word_forms has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install word_forms' or download it from GitHub, PyPI.
Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
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Quality
Security
License
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Support
word_forms has a low active ecosystem.
It has 475 star(s) with 54 fork(s). There are 16 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 9 have been closed. On average issues are closed in 295 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of word_forms is v2.1.0
Quality
word_forms has 0 bugs and 2 code smells.
Security
word_forms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
word_forms code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
word_forms is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
word_forms releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
word_forms saves you 395 person hours of effort in developing the same functionality from scratch.
It has 939 lines of code, 10 functions and 6 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed word_forms and discovered the below as its top functions. This is intended to give you an instant insight into word_forms implemented functionality, and help decide if they suit your requirements.
- Get all related lemmas for a given word
- Get related lemmas for a given word
- Check if lemma belongs to lemma_list
- Update the list of existing verbs
Get all kandi verified functions for this library.
word_forms Key Features
No Key Features are available at this moment for word_forms.
word_forms Examples and Code Snippets
No Code Snippets are available at this moment for word_forms.
Community Discussions
Trending Discussions on word_forms
QUESTION
Grouping the same groups
Asked 2021-Feb-15 at 17:25
I have the following list of tables:
Table phrases:
- id
- phrase (string)
Table words:
- id
- word (string)
Table phrase_words:
- word_id
- phrase_id
Table forms:
- id
- form (string)
Table word_forms
- word_id
- form_id
How to combine phrases into groups according to the complete match of the list of forms?
For example (as how it looks like when joining all tables in a query):
...ANSWER
Answered 2021-Feb-15 at 17:25I have solved half of the task (my source data structure can be easily obtained from OP's source data by one simple query):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install word_forms
You can install using 'pip install word_forms' or download it from GitHub, PyPI.
You can use word_forms like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use word_forms like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
Word Forms is not perfect. In particular, a couple of aspects can be improved. If you like this package, feel free to contribute. Your pull requests are most welcome.
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