syllable-count-english
Accurate syllable counter for English words
Found 33 results for pronunciation
Accurate syllable counter for English words
Convert IPA (International Phonetic Alphabet) pronunciation to Korean Hangul
Reading Assistant Library - Two Main Components (ActivityViewer, DictationActivity) with scoped CSS
Language processing modules
A JavaScript interface to the CMU Pronouncing Dictionary
A rhyming dictionary
A hyphenation library for JavaScript
Automatic English Text-to-Speech tool with clipboard monitoring for macOS. Helps improve English learning through listening.
Japanese pitch accent tools
Simple utility to convert word to pronounceable word
A nodejs wrapper for kakasi.It could help to resolve japanese text.
A simple pronunciation conversion library for Korean.
An application for getting audio files with pronunciation from public dictionaries
A command line tool for searching word-related APIs.
A lightweight JavaScript package for English word pronunciations.
A cross-platform CLI tool for English learning with translation, voice pronunciation, and Notion integration. Supports Windows, macOS, and Linux.
A rhyming dictionary
Fast and accurate syllable counter for English words using CMU Dictionary
Small library for handling multi language support using JavaScript
A pronunciation-based profanity filter.
nlp_compromise plugin for finding rhymes
Query English Pronunciation
Accurate syllable counter for English words
A rhyming dictionary (based on substack's rhyme module)
Match words by the pronunciations
Rhying dictionary, reverse phoneme sort
Enrich Anki flashcards with pronunciations from Forvo
Convert Korean Hangul to Japanese Kana that is pronunciation friendly like: 사랑해요 -> サランヘヨ.
Language processing modules
A web component which can pronounce the name given.
list of persian word pronunciations
Interactive reading assistant library with pronunciation feedback and progress tracking
Syllable Counter is a tool for counting syllables in words and text. It uses the CMU Pronouncing Dictionary for accurate syllable counting with rule-based fallback for unknown words.