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segmentation library with wide language support optimized for speed and utility.","maintainers":[{"name":"santhosh.thottingal","email":"santhosh.thottingal@gmail.com"}],"readme":"# SentenceX WASM Bindings\n\nA WebAssembly binding for the SentenceX sentence segmentation library. This allows you to use the fast, multilingual sentence segmentation capabilities of SentenceX directly in web browsers and Node.js applications.\n\n## Installation\n\n```bash\nnpm install sentencex-wasm\n```\n\n## Usage\n\n### Basic Sentence Segmentation\n\n```javascript\nimport init, { segment } from 'sentencex-wasm';\n\nasync function run() {\n    // Initialize the WASM module\n    await init();\n\n    const text = \"The James Webb Space Telescope (JWST) is a space telescope specifically designed to conduct infrared astronomy. The U.S. National Aeronautics and Space Administration (NASA) led Webb's design and development.\";\n    const sentences = segment(\"en\", text);\n\n    sentences.forEach((sentence, index) => {\n        console.log(`${index + 1}. ${sentence}`);\n    });\n}\n\nrun();\n```\n\n### Detailed Sentence Boundaries\n\nFor more advanced use cases, you can get detailed information about sentence boundaries:\n\n```javascript\nimport init, { get_sentence_boundaries } from 'sentencex-wasm';\n\nasync function run() {\n    await init();\n\n    const text = \"Hello world. This is a test.\\n\\nNew paragraph.\";\n    const boundaries = get_sentence_boundaries(\"en\", text);\n\n    boundaries.forEach(boundary => {\n        console.log({\n            text: boundary.text,\n            start: boundary.start_index,\n            end: boundary.end_index,\n            symbol: boundary.boundary_symbol,\n            isParaBreak: boundary.is_paragraph_break\n        });\n    });\n}\n\nrun();\n```\n\n## API Reference\n\n### `segment(language: string, text: string): string[]`\n\nSegments a given text into sentences based on the specified language.\n\n**Parameters:**\n- `language` - Language code (e.g., \"en\" for English, \"fr\" for French)\n- `text` - Text to be segmented\n\n**Returns:**\n- Array of sentence strings\n\n### `get_sentence_boundaries(language: string, text: string): SentenceBoundary[]`\n\nReturns detailed sentence boundaries for analysis and advanced processing.\n\n**Parameters:**\n- `language` - Language code (e.g., \"en\" for English, \"fr\" for French)\n- `text` - Text to be analyzed\n\n**Returns:**\n- Array of `SentenceBoundary` objects containing:\n  - `start_index`: Byte index where the sentence starts\n  - `end_index`: Byte index where the sentence ends\n  - `text`: The sentence text\n  - `boundary_symbol`: Punctuation mark that ended the sentence (if any)\n  - `is_paragraph_break`: Whether this boundary represents a paragraph break\n\n## Language Support\n\nSentenceX supports sentence segmentation for over 240 languages with intelligent fallback chains. Common language codes include:\n\n- `en` - English\n- `es` - Spanish\n- `fr` - French\n- `de` - German\n- `it` - Italian\n- `pt` - Portuguese\n- `ja` - Japanese\n- `zh` - Chinese\n- `ar` - Arabic\n- `hi` - Hindi\n- And many more...\n\n\n## Performance\n\nThe WASM bindings provide near-native performance for sentence segmentation while running in JavaScript environments. The segmentation is non-destructive, meaning the original text can be reconstructed by joining the segments.\n\n## License\n\nMIT. See [https://github.com/wikimedia/sentencex](https://github.com/wikimedia/sentencex)\n","readmeFilename":"README.md"}