Text Normalization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Isminoula/TextNormSeq2Seq
공식 코드Adapting Sequence to Sequence models for Text Normalization in Social Media
https://github.com/Kyubyong/quasi-rnn
공식 코드Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German
https://github.com/Magic-Abracadabra/AI-Chinese-Scripting-Language
공식 코드https://github.com/NVIDIA/NeMo
공식 코드Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization
https://github.com/NVIDIA/NeMo/tree/main/nemo_text_processing/inverse_text_normalization
공식 코드NeMo Inverse Text Normalization: From Development To Production
https://github.com/adrianjav/text-normalization-preprocess
공식 코드A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder
https://github.com/aisaka0v0/ts-whisper
공식 코드https://github.com/amazon-research/proteno
공식 코드Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
https://github.com/coastalcph/histnorm
공식 코드A Large-Scale Comparison of Historical Text Normalization Systems
https://github.com/cognibit/Text-Normalization-Demo
공식 코드https://github.com/cyk1337/UrbanDict
공식 코드https://github.com/facebookresearch/llama-hd-dataset
공식 코드https://github.com/fleanend/fairseq-text-normalizer
공식 코드Text normalization for low-resource languages: the case of Ligurian
https://github.com/iisys-hof/HUI-Audio-Corpus-German
공식 코드https://github.com/nsaphra/urbandic-scraper
공식 코드Evaluating Informal-Domain Word Representations With UrbanDictionary
https://github.com/open-speech-ekstep/indic-punct
공식 코드https://github.com/ranarag/UnsupClean
공식 코드https://github.com/rwsproat/text-normalization-data
공식 코드https://github.com/selimfirat/bilkent-turkish-writings-dataset
공식 코드https://github.com/shijie-wu/neural-transducer
공식 코드https://github.com/tensorflow/tensor2tensor/blob/master/tensor2tensor/models/research/transformer_seq2edits.py
공식 코드Seq2Edits: Sequence Transduction Using Span-level Edit Operations
https://github.com/thuhcsi/flattn
공식 코드An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer
https://github.com/tingyaohsu/scicap
공식 코드https://github.com/Aso-UniMelb/neural-fieldwork-guide
https://github.com/MindSpore-scientific-2/code-8/tree/main/shallow-rnns
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization
https://github.com/MindSpore-scientific/code-1/tree/main/shallow-rnns
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text Normalization
https://github.com/SteffenEger/ocr_spelling_deuparl
A Large-Scale Comparison of Historical Text Normalization Systems
https://github.com/piyushmakhija5/hinglishnorm
hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization
https://github.com/piyushmakhija5/normalizationdataset
hinglishNorm -- A Corpus of Hindi-English Code Mixed Sentences for Text Normalization
https://github.com/sigmorphon/2022inflectionst
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.