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Python library for accessing major wordnet releases using relational databases for high performance batch processing

Project description

YAWlib - Yet Another WordNet library for Python

A Python library for accessing major WordNet releases using relational databases for high performance batch processing.

  • Princeton Wordnet 3.0
  • NTU Open Multilingual WordNet
  • Gloss WordNet
  • and more to be added in future versions


Yawlib is available on PyPI

pip install yawlib

Prebuilt database files are available on the author's Open Science Framework project page: Download them and extract those to your home folder at ~/wordnet/. On Linux it should look something like:

    - glosstag.db
    - sqlite-30.db
    - wn-ntumc.db

# or on Mac OS
    - glosstag.db
    - sqlite-30.db
    - wn-ntumc.db

On Windows

    - glosstag.db
    - sqlite-30.db
    - wn-ntumc.db

To verify that yawlib is working properly, you can use the info command.

# Show yawlib information
python3 -m yawlib info

Command-line tools

yawlib includes a command-line tool for querying wordnets directly from terminal.

For example, to search synsets by the lemma research one may use python3 -m yawlib lemma research

python3 -m yawlib lemma research

Looking for synsets by term (Provided: research | pos = None)

〔Synset〕00636921-n 〔Lemmas〕research 〔Keys〕research%1:04:00::
(def) “systematic investigation to establish facts;”

〔Synset〕05797597-n 〔Lemmas〕inquiry; enquiry; research 〔Keys〕inquiry%1:09:01:: enquiry%1:09:00:: research%1:09:00::
(def) “a search for knowledge;”
(ex) their pottery deserves more research than it has received;

〔Synset〕00648224-v 〔Lemmas〕research; search; explore 〔Keys〕research%2:31:00:: search%2:31:00:: explore%2:31:00::
(def) “inquire into;”
(ex) the students had to research the history of the Second World War for their history project;
(ex) He searched for information on his relatives on the web;
(ex) Scientists are exploring the nature of consciousness;

〔Synset〕00877327-v 〔Lemmas〕research 〔Keys〕research%2:32:00::
(def) “attempt to find out in a systematically and scientific manner;”
(ex) The student researched the history of that word;

Found 4 synset(s)


Go to yawlib folder, execute the config script and then run to generate the glosstab DB file.

git clone
cd yawlib

# create virtual environment
python3 -m venv yawlib_py3
. yawlib_py3/bin/activate

# install required packages
pip install -r requirements.txt
pip install -r requirements-optional.txt

# to show information
python -m yawlib info

Compiling glosstag.db from source

Make sure that glosstag source folder and sqlite-30.db are available in ~/wordnet. The directory should look like this:

├── glosstag
│   ├── dtd
│   │   └── glosstag.dtd
│   ├── LICENSE.txt
│   ├── merged
│   │   ├── adj.xml
│   │   ├── adv.xml
│   │   ├── noun.xml
│   │   └── verb.xml
│   ├── README.txt
│   ├── standoff
│   │   ├── 00
│   │   ├── 01
│   │   ├── 02
│   │   ├── ....
│   │   ├──
│   │   ├──
│   │   ├──
│   │   ├──
│   │   ├──
│   │   ├──
│   │   └──
│   └──
├── glosstag.db
├── sqlite-30.db
├── wn-ntumc.db

The run the create command to generate the database

python -m yawlib create

Original sources

Project details

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Files for yawlib, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size yawlib-0.1.tar.gz (38.3 kB) File type Source Python version None Upload date Hashes View

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