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taipa

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Taiwanese morphological parsing library

taipalogy.github.io/susiahethong

taipalogy/taipa

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# Taipa A library for analyzing and processing Taiwanese language. This library consists of the following functions and features: - lemmatizing - stemming - inflecting - morpheme-based morphological analysis - graphemic analysis - get underlying forms as output by inputing surface forms - built-in hiragana, katakana, and Taiwanese kana ## Client - Client.processTonal - Client.processKana ## NPX Once you have npm installed, you can run the command line to use the app on the fly on your terminal: `npx taipa` You can enter Roman alphabet `chit` and get the information of each letter in return. For example, `ch - initialConsonant` , `i - vowel` , and `t - stopFinalConsonant` will be printed in sequence on the screen. You can also supply the npx command with a dictionary: `npx taipa ./path/to/dictionary` After you enter Roman alphabet `jinx`, you will get the entry from the dictionary in return. Assuming the path to your dictionary is `../dictionaries/example.json`: `> node bin/app.js ../dictionaries/example.json` and you will get the following results in return: `人,仁` Make your own dictionaries and get the entries by entering a word, or even a partial word. ## Development On your terminal, run the following command: `git clone -b develop https://github.com/taipalogy/taipa` Git will create a folder named Taipa and clone all of the files in it. Enter the folder Taipa, and run the following command to install required libraries as devDependencies: `npm install` npm will create a folder named node_modules and install all of the libraries in it. Then run the following command to build: `npm run build` and to run test: `npm run test` ### app See NPX section for details. The app can also be executed by running the following command line, after you have run the command line `npm run build`: `node bin/app.js` ### develop branch The latest changes are available on develop branch. ## Repos Go to `https://github.com/taipalogy/apps` to see examples of application. Go to `https://github.com/taipalogy/dictionaries` to see examples of dictionary.