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--- |
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language: |
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- bn |
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- gu |
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- hi |
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- mr |
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- ne |
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- or |
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- pa |
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- sa |
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- ur |
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library_name: transformers |
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pipeline_tag: fill-mask |
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--- |
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# IA-Original |
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IA-Original is a multilingual RoBERTa model pre-trained exclusively on 11 Indian languages from the Indo-Aryan language family. It is pre-trained on the monolingual corpora of these languages and subsequently evaluated on a set of diverse tasks. |
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The 11 languages covered by IA-Original are: Bhojpuri, Bengali, Gujarati, Hindi, Magahi, Marathi, Nepali, Oriya, Punjabi, Sanskrit, Urdu. |
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The code can be found [here](https://github.com/IBM/NL-FM-Toolkit). For more information, check-out our [paper](https://aclanthology.org/2021.emnlp-main.675/). |
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## Pretraining Corpus |
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We pre-trained IA-Original on the publicly available monolingual corpus. The corpus has the following distribution of languages: |
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| **Language** | **\# Sentences** | **\# Tokens** | | |
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| :------------ | ---------------: | ------------: | ------------: | |
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| | | **\# Total** | **\# Unique** | |
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| Hindi (hi) | 1552\.89 | 20,098\.73 | 25\.01 | |
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| Bengali (bn) | 353\.44 | 4,021\.30 | 6\.5 | |
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| Sanskrit (sa) | 165\.35 | 1,381\.04 | 11\.13 | |
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| Urdu (ur) | 153\.27 | 2,465\.48 | 4\.61 | |
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| Marathi (mr) | 132\.93 | 1,752\.43 | 4\.92 | |
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| Gujarati (gu) | 131\.22 | 1,565\.08 | 4\.73 | |
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| Nepali (ne) | 84\.21 | 1,139\.54 | 3\.43 | |
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| Punjabi (pa) | 68\.02 | 945\.68 | 2\.00 | |
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| Oriya (or) | 17\.88 | 274\.99 | 1\.10 | |
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| Bhojpuri (bh) | 10\.25 | 134\.37 | 1\.13 | |
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| Magahi (mag) | 0\.36 | 3\.47 | 0\.15 | |
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## Evaluation Results |
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IA-Original is evaluated on IndicGLUE and some additional tasks. For more details about the tasks, refer to the [paper](https://aclanthology.org/2021.emnlp-main.675/). |
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## Downloads |
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You can also download it from [Huggingface](https://huggingface.co./ibm/ia-multilingual-original-script-roberta). |
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## Citing |
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If you are using any of the resources, please cite the following article: |
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``` |
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@inproceedings{dhamecha-etal-2021-role, |
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title = "Role of {L}anguage {R}elatedness in {M}ultilingual {F}ine-tuning of {L}anguage {M}odels: {A} {C}ase {S}tudy in {I}ndo-{A}ryan {L}anguages", |
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author = "Dhamecha, Tejas and |
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Murthy, Rudra and |
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Bharadwaj, Samarth and |
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Sankaranarayanan, Karthik and |
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Bhattacharyya, Pushpak", |
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booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing", |
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month = nov, |
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year = "2021", |
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address = "Online and Punta Cana, Dominican Republic", |
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publisher = "Association for Computational Linguistics", |
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url = "https://aclanthology.org/2021.emnlp-main.675", |
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doi = "10.18653/v1/2021.emnlp-main.675", |
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pages = "8584--8595", |
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} |
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``` |
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## Contributors |
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- Tejas Dhamecha |
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- Rudra Murthy |
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- Samarth Bharadwaj |
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- Karthik Sankaranarayanan |
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- Pushpak Bhattacharyya |
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## Contact |
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- Rudra Murthy ([[email protected]](mailto:[email protected])) |
