### Install and Run Visdom Server

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/Training_visualizations.ipynb

Instructions for installing the Visdom library and starting its server for visualization.

```bash
pip install visdom
python -m visdom.server
```

--------------------------------

### DTM Model Initialization and Setup

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/dtm_example.ipynb

This snippet demonstrates the initial setup for using the DtmModel, including checking for the DTM environment variable and configuring logging. It ensures the necessary environment is prepared before proceeding with the model.

```python
import logging
import os
from gensim import corpora, utils
from gensim.models.wrappers.dtmmodel import DtmModel
import numpy as np

if not os.environ.get('DTM_PATH', None):
    raise ValueError("SKIP: You need to set the DTM path")
```

```python
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)
logging.debug("test")
```

--------------------------------

### Gensim Topic Coherence Setup

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/topic_coherence_tutorial.ipynb

Imports necessary libraries for Gensim topic modeling, coherence calculation, and optional visualization with pyLDAvis. Includes error handling for pyLDAvis installation.

```python
from __future__ import print_function

import os
import logging
import json
import warnings

try:
    raise ImportError
    import pyLDAvis.gensim
    CAN_VISUALIZE = True
    pyLDAvis.enable_notebook()
    from IPython.display import display
except ImportError:
    ValueError("SKIP: please install pyLDAvis")
    CAN_VISUALIZE = False

import numpy as np

from gensim.models import CoherenceModel, LdaModel, HdpModel
from gensim.models.wrappers import LdaVowpalWabbit, LdaMallet
from gensim.corpora import Dictionary

warnings.filterwarnings('ignore')  # To ignore all warnings that arise here to enhance clarity
```

--------------------------------

### Gensim Doc2Vec Example

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/EN.1-10.cbow1_wind5_hs0_neg10_size300_smpl1e-05.txt

This snippet illustrates how to train and use a Doc2Vec model with Gensim. Doc2Vec learns vector representations for documents. This example covers preparing tagged documents and training a model. Requires Gensim installed (`pip install gensim`).

```python
from gensim.models.doc2vec import Doc2Vec, TaggedDocument

# Sample documents with tags
documents = [
    TaggedDocument(words=['this', 'is', 'the', 'first', 'document'], tags=['DOC1']),
    TaggedDocument(words=['this', 'is', 'the', 'second', 'document'], tags=['DOC2']),
    TaggedDocument(words=['and', 'this', 'is', 'the', 'third', 'one'], tags=['DOC3']),
    TaggedDocument(words=['learning', 'from', 'documents', 'is', 'fun'], tags=['DOC4'])
]

# Initialize and train Doc2Vec model
model = Doc2Vec(vector_size=100, window=5, min_count=1, workers=4)
model.build_vocab(documents)
model.train(documents, total_examples=model.corpus_count, epochs=10)

# Get vector for a document
doc_vector = model.dv['DOC1']
print(f"Vector for 'DOC1': {doc_vector[:5]}...")

# Infer vector for a new document
new_doc_vector = model.infer_vector(['this', 'is', 'a', 'new', 'document'])
print(f"Inferred vector for new document: {new_doc_vector[:5]}...")

# Find similar documents
similar_docs = model.dv.most_similar('DOC1', topn=2)
print(f"Documents similar to 'DOC1': {similar_docs}")
```

--------------------------------

### Gensim Downloader API Example

Source: https://github.com/piskvorky/gensim/wiki/How-to-author-documentation

Demonstrates how to use Gensim's downloader API to fetch data for documentation examples. This helps ensure documentation remains up-to-date and reduces the burden on users by providing readily available datasets.

```python
from gensim.downloader import info, load

# Get information about available datasets
print(info())

# Load a dataset (e.g., 'glove-wiki-gigaword-50')
# model = load('glove-wiki-gigaword-50')

# Use the loaded model for examples
```

--------------------------------

### Example Training Configuration

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/atmodel_prediction_tutorial.ipynb

This snippet shows an example of how to configure and start the training process for the topic model. It specifies the directory for training data and calls the preprocessing and corpus creation functions with specific parameters.

```python
traindata_dir = "/tmp/C50train"
train_docs, train_author2doc = preprocess_docs(traindata_dir)
train_corpus_50_20, train_dictionary_50_20 = create_corpus_dictionary(train_docs, 0.5, 20)
```

--------------------------------

### Initialize Logging

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_downloader_api.ipynb

Configures the logging format and level for Gensim operations. This helps in monitoring the download and training process.

```python
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
```

--------------------------------

### Get Detailed Model/Corpus Information

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/downloader_api_tutorial.ipynb

Fetches and prints detailed information about a specific model or corpus, using 'fake-news' as an example.

```python
fake_news_info = api.info('fake-news')
print(json.dumps(fake_news_info, indent=4))
```

--------------------------------

### Setting Up Python Virtual Environment

Source: https://github.com/piskvorky/gensim/blob/develop/CONTRIBUTING.md

Instructions for creating and activating a Python virtual environment for Gensim development.

```shell
pip install virtualenv; virtualenv gensim_env
source gensim_env/bin/activate
```

```shell
pip install -e .[test]
pip install -e .[test-win]
```

--------------------------------

### Gensim Word Embeddings Example

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/EN.1-10.cbow1_wind5_hs0_neg10_size300_smpl1e-05.txt

This snippet demonstrates how to load and use pre-trained word embeddings from Gensim. It shows how to access word vectors and perform similarity calculations. Ensure you have the Gensim library installed (`pip install gensim`) and a pre-trained model file (e.g., GoogleNews-vectors-negative300.bin).

```python
from gensim.models import KeyedVectors

# Load pre-trained word vectors
model_path = 'path/to/your/GoogleNews-vectors-negative300.bin'
word_vectors = KeyedVectors.load_word2vec_format(model_path, binary=True)

# Get vector for a word
vector_king = word_vectors['king']
print(f"Vector for 'king': {vector_king[:5]}...")

# Find similar words
similar_words = word_vectors.most_similar('queen', topn=5)
print(f"Words similar to 'queen': {similar_words}")

# Calculate similarity between two words
similarity = word_vectors.similarity('man', 'woman')
print(f"Similarity between 'man' and 'woman': {similarity}")

# Analogy task
analogy_result = word_vectors.most_similar(positive=['king', 'woman'], negative=['man'], topn=1)
print(f"Analogy 'king' - 'man' + 'woman' = {analogy_result}")
```

--------------------------------

### Sphinx Gallery Example Download Links

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_doc.rst

HTML snippets providing download links for the Python source code and Jupyter notebook of a Sphinx Gallery example. These are typically generated by Sphinx Gallery.

```html
.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: run_doc.py <run_doc.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: run_doc.ipynb <run_doc.ipynb>`
```

--------------------------------

### Basic C++ Example

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/ldavowpalwabbit.txt

A simple C++ code snippet demonstrating basic syntax. This snippet is likely a starting point for more complex programs.

```cplusplus
#include <iostream>

int main() {
    std::cout << "Hello, World!\n";
    return 0;
}
```

--------------------------------

### List Available Models

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_downloader_api.ipynb

Iterates through and prints the names, record counts, and short descriptions of all available pre-trained models in gensim-data.

```python
import json
info = api.info()
for model_name, model_data in sorted(info['models'].items()):
    print(
        '%s (%d records): %s' % (
            model_name,
            model_data.get('num_records', -1),
            model_data['description'][:40] + '...',
        )
    )
```

--------------------------------

### Pluralization Examples (Dollar)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'dollar'. Each entry shows a singular noun and its plural form.

```English
dollar dollars donkey donkeys
dollar dollars dream dreams
dollar dollars eagle eagles
dollar dollars elephant elephants
dollar dollars eye eyes
dollar dollars finger fingers
dollar dollars goat goats
dollar dollars hand hands
dollar dollars horse horses
dollar dollars lion lions
dollar dollars machine machines
dollar dollars mango mangoes
dollar dollars man men
dollar dollars melon melons
dollar dollars monkey monkeys
dollar dollars mouse mice
dollar dollars onion onions
dollar dollars pear pears
dollar dollars pig pigs
dollar dollars pineapple pineapples
dollar dollars rat rats
dollar dollars road roads
dollar dollars snake snakes
dollar dollars woman women
dollar dollars banana bananas
dollar dollars bird birds
dollar dollars bottle bottles
dollar dollars building buildings
dollar dollars car cars
dollar dollars cat cats
dollar dollars child children
dollar dollars cloud clouds
dollar dollars color colors
dollar dollars computer computers
dollar dollars cow cows
dollar dollars dog dogs
```

--------------------------------

### Build and Upload Documentation

Source: https://github.com/piskvorky/gensim/wiki/Maintainer-page

Compiles the C extensions in-place and then builds the HTML documentation, uploading it to the project's documentation website.

```bash
python setup.py build_ext --inplace
make -C docs/src html upload
```

--------------------------------

### Pluralization Examples (Cow)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'cow'. Each entry shows a singular noun and its plural form.

```English
cow cows dog dogs
cow cows dollar dollars
cow cows donkey donkeys
cow cows dream dreams
cow cows eagle eagles
cow cows elephant elephants
cow cows eye eyes
cow cows finger fingers
cow cows goat goats
cow cows hand hands
cow cows horse horses
cow cows lion lions
cow cows machine machines
cow cows mango mangoes
cow cows man men
cow cows melon melons
cow cows monkey monkeys
cow cows mouse mice
cow cows onion onions
cow cows pear pears
cow cows pig pigs
cow cows pineapple pineapples
cow cows rat rats
cow cows road roads
cow cows snake snakes
cow cows woman women
cow cows banana bananas
cow cows bird birds
cow cows bottle bottles
cow cows building buildings
cow cows car cars
cow cows cat cats
cow cows child children
cow cows cloud clouds
cow cows color colors
cow cows computer computers
```

--------------------------------

### Optional Logging Setup

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/nmslibtutorial.ipynb

Provides an option to set up basic logging for the application. If LOGS is set to True, it configures the logging format and level.

```python
LOGS = False

if LOGS:
    import logging
    logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
```

--------------------------------

### Sphinx-Gallery Example Downloads

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/index.rst

Provides links to download all example code in both Python source and Jupyter notebook formats, generated by Sphinx-Gallery.

```APIDOC
Download all examples in Python source code: auto_examples_python.zip </auto_examples/auto_examples_python.zip>
Download all examples in Jupyter notebooks: auto_examples_jupyter.zip </auto_examples/auto_examples_jupyter.zip>
```

--------------------------------

### Pluralization Examples (Color)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'color'. Each entry shows a singular noun and its plural form.

```English
color colors monkey monkeys
color colors mouse mice
color colors onion onions
color colors pear pears
color colors pig pigs
color colors pineapple pineapples
color colors rat rats
color colors road roads
color colors snake snakes
color colors woman women
color colors banana bananas
color colors bird birds
color colors bottle bottles
color colors building buildings
color colors car cars
color colors cat cats
color colors child children
color colors cloud clouds
```

--------------------------------

### Prepare for Gensim Release

Source: https://github.com/piskvorky/gensim/wiki/Maintainer-page

Clones the Gensim repository, sets up the development environment, and installs necessary dependencies for release preparation. It also outlines the environment variable and script execution for the release process.

```bash
cd /tmp
git clone git@github.com:RaRe-Technologies/gensim.git && cd /tmp/gensim
git remote add upstream git@github.com:RaRe-Technologies/gensim.git  # expected by prepare.sh
pip install -e .
pip install requests  # expected by update_changelog.py

export RELEASE=1.2.3  # The version you'll be releasing
bash release/prepare.sh $RELEASE
```

--------------------------------

### Pluralization Examples (Computer)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'computer'. Each entry shows a singular noun and its plural form.

```English
computer computers cow cows
computer computers dog dogs
computer computers dollar dollars
computer computers donkey donkeys
computer computers dream dreams
computer computers eagle eagles
computer computers elephant elephants
computer computers eye eyes
computer computers finger fingers
computer computers goat goats
computer computers hand hands
computer computers horse horses
computer computers lion lions
computer computers machine machines
computer computers mango mangoes
computer computers man men
computer computers melon melons
computer computers monkey monkeys
computer computers mouse mice
computer computers onion onions
computer computers pear pears
computer computers pig pigs
computer computers pineapple pineapples
computer computers rat rats
computer computers road roads
computer computers snake snakes
computer computers woman women
computer computers banana bananas
computer computers bird birds
computer computers bottle bottles
computer computers building buildings
computer computers car cars
computer computers cat cats
computer computers child children
computer computers cloud clouds
computer computers color colors
```

--------------------------------

### Run Gensim Tests Locally

Source: https://github.com/piskvorky/gensim/wiki/Developer-page

Steps to install Gensim from the current directory, install additional testing and documentation dependencies, and execute the unit tests using pytest.

```bash
pip install -e .  # compile and install Gensim from the current directory
pip install -e .[docs,test]  # additional dependencies in case you also need to rebuild the HTML docs
pytest gensim  # run tests
```

--------------------------------

### Pluralization Examples (Donkey)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'donkey'. Each entry shows a singular noun and its plural form.

```English
donkey donkeys dream dreams
donkey donkeys eagle eagles
donkey donkeys elephant elephants
donkey donkeys eye eyes
donkey donkeys finger fingers
donkey donkeys goat goats
donkey donkeys hand hands
donkey donkeys horse horses
donkey donkeys lion lions
donkey donkeys machine machines
donkey donkeys mango mangoes
donkey donkeys man men
donkey donkeys melon melons
donkey donkeys monkey monkeys
donkey donkeys mouse mice
donkey donkeys onion onions
donkey donkeys pear pears
donkey donkeys pig pigs
donkey donkeys pineapple pineapples
donkey donkeys rat rats
donkey donkeys road roads
donkey donkeys snake snakes
donkey donkeys woman women
donkey donkeys banana bananas
donkey donkeys bird birds
donkey donkeys bottle bottles
donkey donkeys building buildings
donkey donkeys car cars
```

--------------------------------

### Download Pre-trained Models and Corpora

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/index.rst

Demonstrates simple and quick access to common corpora and pre-trained models available in gensim. This guide is useful for users who need to quickly load and use existing resources for their NLP tasks.

```python
from gensim.scripts.download import download

download('word2vec-google-news-300')
```

--------------------------------

### Pluralization Examples (Dog)

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'dog'. Each entry shows a singular noun and its plural form.

```English
dog dogs dollar dollars
dog dogs donkey donkeys
dog dogs dream dreams
dog dogs eagle eagles
dog dogs elephant elephants
dog dogs eye eyes
dog dogs finger fingers
dog dogs goat goats
dog dogs hand hands
dog dogs horse horses
dog dogs lion lions
dog dogs machine machines
dog dogs mango mangoes
dog dogs man men
dog dogs melon melons
dog dogs monkey monkeys
dog dogs mouse mice
dog dogs onion onions
dog dogs pear pears
dog dogs pig pigs
dog dogs pineapple pineapples
dog dogs rat rats
dog dogs road roads
dog dogs snake snakes
dog dogs woman women
dog dogs banana bananas
dog dogs bird birds
dog dogs bottle bottles
dog dogs building buildings
dog dogs car cars
dog dogs cat cats
dog dogs child children
dog dogs cloud clouds
dog dogs color colors
dog dogs computer computers
dog dogs cow cows
```

--------------------------------

### Sphinx Gallery File Explanations

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_doc.ipynb

Explains the purpose of various files generated by Sphinx Gallery for documentation examples, including the Python script, MD5 hash, RST, IPYNB, and execution time tracking.

```rst
.. Note::
  You may be wondering what all those other files are. Sphinx Gallery puts a copy of your Python script in ``auto_examples/tutorials``. The .md5 contains MD5 hash of the script to enable easy detection of modifications. Gallery also generates .rst (RST for Sphinx) and .ipynb (Jupyter notebook) files from the script. Finally, ``sg_execution_times.rst`` contains the time taken to run each example.
```

--------------------------------

### Pluralization Examples (Dog)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'dog'. Each entry shows a singular noun and its plural form.

```English
dog dogs dollar dollars
dog dogs donkey donkeys
dog dogs dream dreams
dog dogs eagle eagles
dog dogs elephant elephants
dog dogs eye eyes
dog dogs finger fingers
dog dogs goat goats
dog dogs hand hands
dog dogs horse horses
dog dogs lion lions
dog dogs machine machines
dog dogs mango mangoes
dog dogs man men
dog dogs melon melons
dog dogs monkey monkeys
dog dogs mouse mice
dog dogs onion onions
dog dogs pear pears
dog dogs pig pigs
dog dogs pineapple pineapples
dog dogs rat rats
dog dogs road roads
dog dogs snake snakes
dog dogs woman women
dog dogs banana bananas
dog dogs bird birds
dog dogs bottle bottles
dog dogs building buildings
dog dogs car cars
dog dogs cat cats
dog dogs child children
dog dogs cloud clouds
dog dogs color colors
dog dogs computer computers
dog dogs cow cows
```

--------------------------------

### Testing Word2Vec Matrix Synopsis Model Details

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_downloader_api.rst

Provides details for the testing model '__testing_word2vec-matrix-synopsis'. Includes description, parameters, preprocessing steps, related links, checksum, file name, and parts.

```json
{
    "__testing_word2vec-matrix-synopsis": {
        "description": "[THIS IS ONLY FOR TESTING] Word vecrors of the movie matrix.",
        "parameters": {
            "dimensions": 50
        },
        "preprocessing": "Converted to w2v using a preprocessed corpus. Converted to w2v format with `python3.5 -m gensim.models.word2vec -train <input_filename> -output <output_filename>`.",
        "read_more": [],
        "checksum": "534dcb8b56a360977a269b7bfc62d124",
        "file_name": "__testing_word2vec-matrix-synopsis.gz",
        "parts": 1
    }
}
```

--------------------------------

### Pluralization Examples (Computer)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'computer'. Each entry shows a singular noun and its plural form.

```English
computer computers cow cows
computer computers dog dogs
computer computers dollar dollars
computer computers donkey donkeys
computer computers dream dreams
computer computers eagle eagles
computer computers elephant elephants
computer computers eye eyes
computer computers finger fingers
computer computers goat goats
computer computers hand hands
computer computers horse horses
computer computers lion lions
computer computers machine machines
computer computers mango mangoes
computer computers man men
computer computers melon melons
computer computers monkey monkeys
computer computers mouse mice
computer computers onion onions
computer computers pear pears
computer computers pig pigs
computer computers pineapple pineapples
computer computers rat rats
computer computers road roads
computer computers snake snakes
computer computers woman women
computer computers banana bananas
computer computers bird birds
computer computers bottle bottles
computer computers building buildings
computer computers car cars
computer computers cat cats
computer computers child children
computer computers cloud clouds
computer computers color colors
```

--------------------------------

### Pluralization Examples (Dollar)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'dollar'. Each entry shows a singular noun and its plural form.

```English
dollar dollars donkey donkeys
dollar dollars dream dreams
dollar dollars eagle eagles
dollar dollars elephant elephants
dollar dollars eye eyes
dollar dollars finger fingers
dollar dollars goat goats
dollar dollars hand hands
dollar dollars horse horses
dollar dollars lion lions
dollar dollars machine machines
dollar dollars mango mangoes
dollar dollars man men
dollar dollars melon melons
dollar dollars monkey monkeys
dollar dollars mouse mice
dollar dollars onion onions
dollar dollars pear pears
dollar dollars pig pigs
dollar dollars pineapple pineapples
dollar dollars rat rats
dollar dollars road roads
dollar dollars snake snakes
dollar dollars woman women
dollar dollars banana bananas
dollar dollars bird birds
dollar dollars bottle bottles
dollar dollars building buildings
dollar dollars car cars
dollar dollars cat cats
dollar dollars child children
dollar dollars cloud clouds
dollar dollars color colors
dollar dollars computer computers
dollar dollars cow cows
dollar dollars dog dogs
```

--------------------------------

### Download Example Scripts

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_doc2vec_imdb.rst

Provides links to download the Python source code and Jupyter notebook for the 'run_doc2vec_imdb.py' example.

```html
.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example


    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: run_doc2vec_imdb.py <run_doc2vec_imdb.py>`

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: run_doc2vec_imdb.ipynb <run_doc2vec_imdb.ipynb>`
```

--------------------------------

### Import Gensim Downloader API

Source: https://github.com/piskvorky/gensim/blob/develop/docs/notebooks/downloader_api_tutorial.ipynb

Imports the necessary gensim.downloader module and configures basic logging.

```python
import logging
import gensim.downloader as api

logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
```

--------------------------------

### Pluralization Examples (Cow)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'cow'. Each entry shows a singular noun and its plural form.

```English
cow cows dog dogs
cow cows dollar dollars
cow cows donkey donkeys
cow cows dream dreams
cow cows eagle eagles
cow cows elephant elephants
cow cows eye eyes
cow cows finger fingers
cow cows goat goats
cow cows hand hands
cow cows horse horses
cow cows lion lions
cow cows machine machines
cow cows mango mangoes
cow cows man men
cow cows melon melons
cow cows monkey monkeys
cow cows mouse mice
cow cows onion onions
cow cows pear pears
cow cows pig pigs
cow cows pineapple pineapples
cow cows rat rats
cow cows road roads
cow cows snake snakes
cow cows woman women
cow cows banana bananas
cow cows bird birds
cow cows bottle bottles
cow cows building buildings
cow cows car cars
cow cows cat cats
cow cows child children
cow cows cloud clouds
cow cows color colors
cow cows computer computers
```

--------------------------------

### Pluralization Examples (Donkey)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'donkey'. Each entry shows a singular noun and its plural form.

```English
donkey donkeys dream dreams
donkey donkeys eagle eagles
donkey donkeys elephant elephants
donkey donkeys eye eyes
donkey donkeys finger fingers
donkey donkeys goat goats
donkey donkeys hand hands
donkey donkeys horse horses
donkey donkeys lion lions
donkey donkeys machine machines
donkey donkeys mango mangoes
donkey donkeys man men
donkey donkeys melon melons
donkey donkeys monkey monkeys
donkey donkeys mouse mice
donkey donkeys onion onions
donkey donkeys pear pears
donkey donkeys pig pigs
donkey donkeys pineapple pineapples
donkey donkeys rat rats
donkey donkeys road roads
donkey donkeys snake snakes
donkey donkeys woman women
donkey donkeys banana bananas
donkey donkeys bird birds
donkey donkeys bottle bottles
donkey donkeys building buildings
donkey donkeys car cars
```

--------------------------------

### Gensim Initialization Example

Source: https://github.com/piskvorky/gensim/blob/develop/gensim/test/test_data/test_glove.txt

This snippet demonstrates a basic initialization pattern, likely for a Gensim model or component. It shows how to import and instantiate a class, which is a fundamental step in using the library.

```python
from gensim.models import Word2Vec

# Example usage:
model = Word2Vec(sentences=data, vector_size=100, window=5, min_count=5, workers=4)
model.save("word2vec.model")
```

--------------------------------

### Running Gensim Documentation Scripts

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/auto_examples/howtos/run_doc.ipynb

Shows the command to execute a Gensim documentation script directly from the command line for testing.

```python
python myscript.py
```

--------------------------------

### Pluralization Examples (Color)

Source: https://github.com/piskvorky/gensim/blob/develop/docs/src/gallery/tutorials/datasets/questions-words.txt

Demonstrates the pluralization of singular nouns starting with 'color'. Each entry shows a singular noun and its plural form.

```English
color colors monkey monkeys
color colors mouse mice
color colors onion onions
color colors pear pears
color colors pig pigs
color colors pineapple pineapples
color colors rat rats
color colors road roads
color colors snake snakes
color colors woman women
color colors banana bananas
color colors bird birds
color colors bottle bottles
color colors building buildings
color colors car cars
color colors cat cats
color colors child children
color colors cloud clouds
```