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models\new_ksvc\trf-kor.yaml (459, 2022-08-31)
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models\phonetisaurus\components\ksvc_ara.yaml (297, 2022-08-31)
models\phonetisaurus\components\ksvc_chi.yaml (297, 2022-08-31)
models\phonetisaurus\components\ksvc_heb.yaml (297, 2022-08-31)
models\phonetisaurus\components\ksvc_jpn.yaml (297, 2022-08-31)
models\phonetisaurus\components\ksvc_kor.yaml (297, 2022-08-31)
models\phonetisaurus\components\ksvc_rus.yaml (297, 2022-08-31)
models\phonetisaurus\docker-entrypoint.sh (127, 2022-08-31)
models\phonetisaurus\predictor.py (3411, 2022-08-31)
models\phonetisaurus\requirements.txt (50, 2022-08-31)
models\phonetisaurus\wsgi.py (53, 2022-08-31)
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models\transformer\components\ksvc_ara.yaml (297, 2022-08-31)
models\transformer\components\ksvc_chi.yaml (297, 2022-08-31)
models\transformer\components\ksvc_heb.yaml (297, 2022-08-31)
models\transformer\components\ksvc_jpn.yaml (297, 2022-08-31)
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# Reproducible Named Entity Transliteration models (ReproNETs) `repronets-k8s` is a hub for named entity transliteration (NET) models. It hosts trained NET models and provides simple interface to make them accesssible. All models run as serverless services on [Knative](https://knative.dev/docs/). Our platform is highly scalable and economical thanks to Knative's `autoscaling (even to zero)` feature Available models: * [Phonetisaurus](https://github.com/AdolfVonKleist/Phonetisaurus) * [Transformer](https://arxiv.org/abs/1706.03762) The languages we currently support: * English to Arabic * English to Chinese * English to Hebrew * English to Japanese * English to Korean * English to Russian ## GUI

GUI provides a tool to easily and visually compare outputs across the `Transformer` and the `Phonetisaurus` with different beam sizes. It shows predicted sequence(s) along with the probability of each sequence. Link: https://boxkey.me ## Web API ReproNETs provide a public API that provides transliteration as a service via simple HTTP request. The query parameters are: * input: Any English word to transliterate. It must be less than or 37 characters. * language: The target language. It must be either `ara`, `chi`, `heb`, `jpn`, `kor`, or `rus`. * beam: The size of beam search. It must be an integer from 1 to 5. * model: The name of a transliteration model. It must be either `phonetisaurus`, `transformer` or `all`. ### GET This is mainly used for a real-time prediction. #### Request ``` bash curl --request GET \ --url 'https://www.boxkey.me/repronets/api/v1/predict?input=rocky&language=jpn&beam=2&model=all' ``` #### Response ```javascript { "data": { "phonetisaurus": { "data": { "No.1": { "prob": 0.0000018659, "tokens": "ロッキー" }, "No.2": { "prob": 1.32e-8, "tokens": "ロッキ" } }, "status": 200, "message": "Successfully made predictions" }, "transformer": { "data": { "No.1": { "prob": 0.7512609939, "tokens": "ロッキー" }, "No.2": { "prob": 0.0077490897, "tokens": "ロキー" } }, "status": 200, "message": "Successfully made predictions" } }, "status": 200 } ``` ## Contribution Thank you for your interest in contributing to the `repronets-k8s` codebase. Models can be uploaded under the `./moedls` directory ideally as a docker container. If you need help with containerizing your model, let us know at [`Issues`](https://github.com/box-key/ReproNETs/issues). ## License Copyright 2020- Kei Nemoto, All Rights Reserved Licensed under the Apache License 2.0: http://www.apache.org/licenses/

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