Fast syllable estimation library based on pattern matching.

Overview

Syllables: A fast syllable estimator for Python

Latest PyPI version Python CI

Syllables is a fast, simple syllable estimator for Python. It's intended for use in places where speed matters. For situations where accuracy matters, please consider the cmudict Python library instead.

Installation

syllables is available on PyPI. Simply install it with pip:

pip install syllables

You can also install it from source:

  $ git clone https://github.com/prosegrinder/python-syllables.git
  Cloning into 'python-syllables'...
  ...

  $ cd python-syllables
  $ python setup.py install
  ...

Usage

Syllables provides a single function, estimate, which estimates the number of syllables in a single word.

>>> import syllables
>>> syllables.estimate('estimate')
4
>>> syllables.estimate('syllables')
3

Credits

Built on or modeled after the following open source projects:

You might also like...
This repo provides a package to automatically select a random seed based on ancient Chinese Xuanxue

🤞 Random Luck Deep learning is acturally the alchemy. This repo provides a package to automatically select a random seed based on ancient Chinese Xua

script to calculate total GPA out of 4, based on input gpa.csv

gpa_calculator script to calculate total GPA out of 4 based on input gpa.csv to use, create a total.csv file containing only one integer showing the t

Code for our SIGIR 2022 accepted paper : P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning

P3 Ranker Implementation for our SIGIR2022 accepted paper: P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-bas

Fast pattern fetcher, Takes a URLs list and outputs the URLs which contains the parameters according to the specified pattern.
Fast pattern fetcher, Takes a URLs list and outputs the URLs which contains the parameters according to the specified pattern.

Fast Pattern Fetcher (fpf) Coded with 3 by HS Devansh Raghav Fast Pattern Fetcher, Takes a URLs list and outputs the URLs which contains the paramete

A library for pattern matching on symbolic expressions in Python.
A library for pattern matching on symbolic expressions in Python.

MatchPy is a library for pattern matching on symbolic expressions in Python. Work in progress Installation MatchPy is available via PyPI, and

Pattern Matching for Python 3.7+ in a simple, yet powerful, extensible manner.

Awesome Pattern Matching (apm) for Python pip install awesome-pattern-matching Simple Powerful Extensible Composable Functional Python 3.7+, PyPy3.7+

Pampy: The Pattern Matching for Python you always dreamed of.
Pampy: The Pattern Matching for Python you always dreamed of.

Pampy: Pattern Matching for Python Pampy is pretty small (150 lines), reasonably fast, and often makes your code more readable and hence easier to rea

Pampy: The Pattern Matching for Python you always dreamed of.
Pampy: The Pattern Matching for Python you always dreamed of.

Pampy: Pattern Matching for Python Pampy is pretty small (150 lines), reasonably fast, and often makes your code more readable and hence easier to rea

Minimal, super readable string pattern matching for python.

simplematch Minimal, super readable string pattern matching for python. import simplematch simplematch.match("He* {planet}!", "Hello World!") {"p

Pattern Matching in Python
Pattern Matching in Python

Pattern Matching finalmente chega no Python 3.10. E daí? "Pattern matching", ou "correspondência de padrões" como é conhecido no Brasil. Algumas pesso

Really bad lisp implementation. Fun with pattern matching.

Lisp-py This is a horrible, ugly interpreter for a trivial lisp. Don't use it. It was written as an excuse to mess around with the new pattern matchin

Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks

Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks Contributions A novel pairwise feature LSP to extract structural

Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.
Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.

C2-Matching (CVPR2021) This repository contains the implementation of the following paper: Robust Reference-based Super-Resolution via C2-Matching Yum

Using Opencv ,based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching
Using Opencv ,based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching

Using Opencv ,this project is based on Augmental Reality(AR) and will show the feature matching of image and then by finding its matching ,it will just mask that image . This project ,if used in cctv then it will detect black listed people if mentioned properly with their images.

Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen

A Python implementation of the Locality Preserving Matching (LPM) method for pruning outliers in image matching.

LPM_Python A Python implementation of the Locality Preserving Matching (LPM) method for pruning outliers in image matching. The code is established ac

Linear programming solver for paper-reviewer matching and mind-matching
Linear programming solver for paper-reviewer matching and mind-matching

Paper-Reviewer Matcher A python package for paper-reviewer matching algorithm based on topic modeling and linear programming. The algorithm is impleme

RapidFuzz is a fast string matching library for Python and C++

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy

《Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching》(CVPR 2020)
《Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching》(CVPR 2020)

This contains the codes for cross-view geo-localization method described in: Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching, CVPR2020.

Comments
  • build(deps): bump cmudict from 1.0.12 to 1.0.13

    build(deps): bump cmudict from 1.0.12 to 1.0.13

    Bumps cmudict from 1.0.12 to 1.0.13.

    Release notes

    Sourced from cmudict's releases.

    v1.0.13 (2022-12-19)

    Fix

    • added commitizen config
    • explicit ci jobs
    • publish on tag v
    • added release workflow

    [main c464b85] bump: 1.0.12 → 1.0.13 2 files changed, 53 insertions(+), 2 deletions(-) create mode 100644 CHANGELOG.md

    Changelog

    Sourced from cmudict's changelog.

    v1.0.13 (2022-12-19)

    Fix

    • added commitizen config
    • explicit ci jobs
    • publish on tag v
    • added release workflow
    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    dependencies dependabot-batched 
    opened by dependabot[bot] 1
  • Create Dependabot config file

    Create Dependabot config file

    :wave: Dependabot is moving natively into GitHub! This pull request migrates your configuration from Dependabot.com to a config file, using the new syntax. When you merge this pull request, we'll swap out dependabot-preview (me) for a new dependabot app, and you'll be all set!

    With this change, you'll now use the Dependabot page in GitHub, rather than the Dependabot dashboard, to monitor your version updates. Dependabot is now configured exclusively using config files.

    If you've got any questions or feedback for us, please let us know by creating an issue in the dependabot/dependabot-core repository.

    Learn more about the relaunch of Dependabot

    Please note that regular @dependabot commands do not work on this pull request.

    :robot::yellow_heart:

    dependencies 
    opened by dependabot-preview[bot] 0
  • build(deps): bump importlib-metadata from 5.1.0 to 5.2.0

    build(deps): bump importlib-metadata from 5.1.0 to 5.2.0

    Bumps importlib-metadata from 5.1.0 to 5.2.0.

    Changelog

    Sourced from importlib-metadata's changelog.

    v5.2.0

    • #371: Deprecated expectation that PackageMetadata.__getitem__ will return None for missing keys. In the future, it will raise a KeyError.
    Commits

    Dependabot compatibility score

    Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


    Dependabot commands and options

    You can trigger Dependabot actions by commenting on this PR:

    • @dependabot rebase will rebase this PR
    • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
    • @dependabot merge will merge this PR after your CI passes on it
    • @dependabot squash and merge will squash and merge this PR after your CI passes on it
    • @dependabot cancel merge will cancel a previously requested merge and block automerging
    • @dependabot reopen will reopen this PR if it is closed
    • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
    • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
    • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
    dependencies 
    opened by dependabot[bot] 0
Releases(v1.0.6)
  • v1.0.6(Dec 18, 2022)

    v1.0.6 (2022-12-18)

    Fix

    • ci needs (#19)
    • needs ci -> needs test
    • publish to pypi workflow (#18)
    • removed composite ci workflow
    • removed composite ci workflow
    • publish-workflow-tags (#17)
    • reset to v1.0.5
    • publish-workflow (#16)
    • reverted to version 1.0.5
    • reset changelog to 1.0.5
    • removed concurrency
    • don't run on bump and removed needs
    • merge pull request #14 from prosegrinder/fix/relase-publish-workflows
    • republishing 1.0.6
    • added token for ci
    • removed skipping ci
    • reverted to 1.0.5
    • pass version bump token
    • incremental changelog by default
    • removed incremental changelog and for bump

    [main 6fc05ce] bump: 1.0.5 → 1.0.6 2 files changed, 27 insertions(+), 2 deletions(-)

    Source code(tar.gz)
    Source code(zip)
  • v1.0.5(Dec 13, 2022)

  • v1.0.4(Dec 11, 2022)

  • v1.0.3(Aug 25, 2021)

  • v1.0.2(Aug 24, 2021)

    Changed

    • use black
    • use pylint
    • retire Codacy
    • use current packaging practices
      • added pyproject.toml
      • moved static settings to setup.cfg
    • fixed broken build :(
    • trashed v1.0.1

    What Happened to V1.0.1

    The tag is still here, the code functioned as expected, but the build broke due to a comedy of amateurish errors on my part. I deleted it forever. Let's never talk of it again, okay?

    Source code(tar.gz)
    Source code(zip)
  • v1.0.0(Aug 8, 2021)

  • v0.1.0(Nov 26, 2018)

Owner
ProseGrinder
ProseGrinder
💯 Coolest snippets

nvim-snippets This was originally included in my personal Neovim setup, but I didn't like having all the snippets there so I decided to have them sepa

Eliaz Bobadilla 6 Aug 31, 2022
An interview engine for businesses, interview those who are actually qualified and are worth your time!

easyInterview V0.8B An interview engine for businesses, interview those who are actually qualified and are worth your time! Quick Overview You/the com

Vatsal Shukla 1 Nov 19, 2021
Your Project with Great Documentation.

Read Latest Documentation - Browse GitHub Code Repository The only thing worse than documentation never written, is documentation written but never di

Timothy Edmund Crosley 809 Dec 28, 2022
Second version of SQL-PYTHON-Practicas

SQLite-Python Acerca de | Autor Sobre el repositorio Segunda version de SQL-PYTHON-Practicas 💻 Tecnologias Visual Studio Code Python SQLite3 📖 Requi

1 Jan 06, 2022
pytorch_example

pytorch_examples machine learning site map 정리자료 Resnet https://wolfy.tistory.com/243 convolution 연산 정리 https://gaussian37.github.io/dl-concept-covolut

injae hwang 1 Nov 24, 2021
Sphinx theme for readthedocs.org

Read the Docs Sphinx Theme This Sphinx theme was designed to provide a great reader experience for documentation users on both desktop and mobile devi

Read the Docs 4.3k Dec 31, 2022
Sphinx Theme Builder

Sphinx Theme Builder Streamline the Sphinx theme development workflow, by building upon existing standardised tools. and provide a: simplified packagi

Pradyun Gedam 23 Dec 26, 2022
Uses diff command to compare expected output with student's submission output

AUTOGRADER for GRADESCOPE using diff with partial grading Description: Uses diff command to compare expected output with student's submission output U

2 Jan 11, 2022
Always know what to expect from your data.

Great Expectations Always know what to expect from your data. Introduction Great Expectations helps data teams eliminate pipeline debt, through data t

Great Expectations 7.8k Jan 05, 2023
Convert excel xlsx file's table to csv file, A GUI application on top of python/pyqt and other opensource softwares.

Convert excel xlsx file's table to csv file, A GUI application on top of python/pyqt and other opensource softwares.

David A 0 Jan 20, 2022
Searches a document for hash tags. Support multiple natural languages. Works in various contexts.

ht-getter Searches a document for hash tags. Supports multiple natural languages. Works in various contexts. This package uses a non-regex approach an

Rairye 1 Mar 01, 2022
CoderByte | Practice, Tutorials & Interview Preparation Solutions|

CoderByte | Practice, Tutorials & Interview Preparation Solutions This repository consists of solutions to CoderByte practice, tutorials, and intervie

Eda AYDIN 6 Aug 09, 2022
Seamlessly integrate pydantic models in your Sphinx documentation.

Seamlessly integrate pydantic models in your Sphinx documentation.

Franz Wöllert 71 Dec 26, 2022
Python Advanced --- numpy, decorators, networking

Python Advanced --- numpy, decorators, networking (and more?) Hello everyone 👋 This is the project repo for the "Python Advanced - ..." introductory

Andreas Poehlmann 2 Nov 05, 2021
A simple USI Shogi Engine written in python using python-shogi.

Revengeshogi My attempt at creating a USI Shogi Engine in python using python-shogi. Current State of Engine Currently only generating random moves us

1 Jan 06, 2022
This repo provides a package to automatically select a random seed based on ancient Chinese Xuanxue

🤞 Random Luck Deep learning is acturally the alchemy. This repo provides a package to automatically select a random seed based on ancient Chinese Xua

Tong Zhu(朱桐) 33 Jan 03, 2023
A Sublime Text plugin to select a default syntax dialect

Default Syntax Chooser This Sublime Text 4 plugin provides the set_default_syntax_dialect command. This command manipulates a syntax file (e.g.: SQL.s

3 Jan 14, 2022
Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

Curriculum Learning by Optimizing Learning Dynamics (DoCL) AISTATS 2021 paper: Title: Curriculum Learning by Optimizing Learning Dynamics [pdf] [appen

Tianyi Zhou 15 Dec 06, 2022
Resource hub for Obsidian resources.

Obsidian Community Vault Welcome! This is an experimental vault that is maintained by the Obsidian community. For best results we recommend downloadin

Obsidian Community 320 Jan 02, 2023
Automated Integration Testing and Live Documentation for your API

Automated Integration Testing and Live Documentation for your API

ScanAPI 1.3k Dec 30, 2022