{"repo":"google/budoux","free":true,"listed":false,"github":"https://github.com/google/budoux","clone":"git clone https://github.com/google/budoux.git","description":null,"language":"Python","stars":1765,"topics":["nlp","machine-learning","python","javascript"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"BudouX Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning powered line break organizer tool. It is standalone . It works with no dependency on third-party word segmenters such as Google cloud natural language API. It is small . It takes only around 15 KB including its machine learning model. It's reasonable to use it even on the client-side. It is language-neutral . You can train a model for any language by feeding a dataset to BudouX’s training script. Last but not least, BudouX supports HTML inputs. Demo Natural languages supported by pretrained models - Japanese - Simplified Chinese - Traditional Chinese - Thai Korean support? Korean uses spaces between words, so you can generally prevent words from being split across lines by applying the CSS property word-break: keep-all to the paragraph, which should be much more performant than installing BudouX. That said, we're happy to explore dedicated Korean language support if the above solution proves insufficient. Supported Programming languages - Python - JavaScript - Java Python module Install Usage Library You can get a list of phrases by feeding a sentence to the parser. The easiest way is to get a parser is loading the default parser for each language. Japanese: Simplified Chinese: Traditional Chinese: Thai: You can also translate an HTML string to wrap phrases with non-breaking markup. The default parser uses zero-width space (U+200B) to separate phrases. Please note that separator","default_branch":null,"files":null,"tree":[],"storefront":"/r/google","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/google/budoux/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}