ufal
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lbourdois commited on
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f8b5d3e
1 Parent(s): bba2b1a

Add multilingual to the language tag

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Hi! A PR to add multilingual to the language tag to improve the referencing.

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  1. README.md +6 -6
README.md CHANGED
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  language:
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  - id
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  - en
 
 
 
 
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  datasets:
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  - mc4
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  - wikipedia
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  - multilexnorm
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- tags:
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- - lexical normalization
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- license: apache-2.0
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-
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  ---
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  # Fine-tuned ByT5-small for MultiLexNorm (Indonesian-English version)
@@ -23,14 +23,14 @@ Our system is based on [ByT5](https://arxiv.org/abs/2105.13626), which we first
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  ## How to use
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- The model was *not* fine-tuned in a standard sentence-to-sentence setting instead, it was tailored to the token-to-token definition of MultiLexNorm data. Please refer to [**the interactive demo on Colab notebook**](https://colab.research.google.com/drive/1rxpI8IlKk-D2crFqi2hdzbTBIezqgsCg?usp=sharing) to learn how to use these models.
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  ## How to cite
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  ```bibtex
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  @inproceedings{wnut-ufal,
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- title= "{ÚFAL} at {MultiLexNorm} 2021: Improving Multilingual Lexical Normalization by Fine-tuning {ByT5}",
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  author = "Samuel, David and Straka, Milan",
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  booktitle = "Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021)",
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  year = "2021",
 
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  language:
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  - id
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  - en
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+ - multilingual
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+ license: apache-2.0
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+ tags:
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+ - lexical normalization
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  datasets:
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  - mc4
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  - wikipedia
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  - multilexnorm
 
 
 
 
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  ---
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  # Fine-tuned ByT5-small for MultiLexNorm (Indonesian-English version)
 
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  ## How to use
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+ The model was *not* fine-tuned in a standard sentence-to-sentence setting instead, it was tailored to the token-to-token definition of MultiLexNorm data. Please refer to [**the interactive demo on Colab notebook**](https://colab.research.google.com/drive/1rxpI8IlKk-D2crFqi2hdzbTBIezqgsCg?usp=sharing) to learn how to use these models.
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  ## How to cite
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  ```bibtex
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  @inproceedings{wnut-ufal,
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+ title= "{�FAL} at {MultiLexNorm} 2021: Improving Multilingual Lexical Normalization by Fine-tuning {ByT5}",
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  author = "Samuel, David and Straka, Milan",
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  booktitle = "Proceedings of the 7th Workshop on Noisy User-generated Text (W-NUT 2021)",
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  year = "2021",