Browser extensions
Add IPSM notation to your reading in Chrome, Edge, or Firefox.
IPSM
Approach
IPSM (Integrated Pronunciation, Spelling and Meaning) is a unified method for memorizing English vocabulary. It integrates three perspectives: IPS — Integrated Pronunciation & Spelling; ISM — Integrated Spelling & Meaning; IPM — Integrated Pronunciation & Meaning
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Email:
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Symbols Used in This Book
Symbols Above Single Vowel Letters and Vowel-Letter Combinations
Overview
IPSM Approach (Integrated Pronunciation, Spelling and Meaning Approach) is a method for memorizin...
IPA and IPS
In the late 19th century, in order to overcome the disorder of the then-prevailing phonetic trans...
A Minimal IPS Tutorial
Sound-form annotation (IPS notation) is a kind of direct inline phonetic notation: without changi...
IPS — Integrated Pronunciation & Spelling
Every English word contains the following attributes: pronunciation, spelling, and meaning. This ...
ISM — Integrated Spelling & Meaning
Morphemes are divided into prefixes, roots, suffixes, and combining vowels.
IPS
Integrated Pronunciation & Spelling — unify sound and spelling by embedding pronunciation rules into the word.
ISM
Integrated Spelling & Meaning — unify form and meaning by morpheme segmentation.
IPM
Integrated Pronunciation & Meaning — grasp the inner link between sound rhythm and meaning.
LINGOSE
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英语与单词
Python
Install the Python package.
python -m pip install lingoseTypeScript
Install the TypeScript package with npm.
npm i lingoseRust
Add the Rust library or install the CLI.
cargo add lingose
cargo install lingose-cliCommand line
Choose your package manager to install Lingose.
Chocolatey Windows
choco install lingoseWinGet Windows
winget install --id Lingose.Lingose -eScoop Windows
scoop bucket add lingose https://github.com/englishword/lingose-rust
scoop install lingose/lingoseHomebrew macOS / Linux
brew tap englishword/lingose https://github.com/englishword/lingose-rust
brew install englishword/lingose/lingoseHugging Face dataset
Load the IPSM English lexicon in your Python project.
from datasets import load_dataset
lexicon = load_dataset("Lingose/IPSM-English-Lexicon", split="train", revision="main")
