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@i18n-inflect/neural

v0.1.7

Published

Neural inflection fallback runtime for i18n-inflect — tiny char-level seq2seq models over a swappable inference engine (onnxruntime-web, onnxruntime-node, or the cordova-plugin-boogie-onnx native bridge).

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@i18n-inflect/neural

Optional neural inflection fallback for i18n-inflect: runs a tiny (~2 MB int8) character-level seq2seq model to inflect out-of-vocabulary words the rule engine was unsure about.

  • Swappable inference engine — three adapters ship:
    • @i18n-inflect/neural/ort-web (browser, onnxruntime-web WASM)
    • @i18n-inflect/neural/ort-node (Node, onnxruntime-node)
    • @i18n-inflect/neural/boogie-onnx (Cordova, native ONNX Runtime via cordova-plugin-boogie-onnx — zero JS deps)
  • Autodetected, or bring your own by implementing the 3-method InferenceEngine interface.
  • onnxruntime-* packages are optional peers — install only what your platform uses.
import { registerFallback, preload } from "i18n-inflect";
import { createNeuralFallback } from "@i18n-inflect/neural";
import { loadModelHu } from "@i18n-inflect/model-hu";

registerFallback(createNeuralFallback({ model: await loadModelHu() }));
await preload("hu");

Full environment-by-environment guide: docs/neural.md.

MIT licensed.