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--- |
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library_name: transformers |
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language: |
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- fr |
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- de |
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- en |
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- it |
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- lb |
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license: agpl-3.0 |
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tags: |
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- language-identification |
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- multilingual |
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- historical |
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- impresso |
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--- |
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# Model Card for `impresso-project/language-identifier` |
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## Overview |
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`impresso-project/language-identifier` is a multilingual language identification model fine-tuned for use on historical newspaper content. It supports **German (de), French (fr), Italian (it), English (en), and Luxembourgish (lb)** — the core languages of the [Impresso Project](https://impresso-project.ch), which focuses on analyzing historical media across national and linguistic borders. |
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This model has been adapted for short, OCR-noisy and fragmentary inputs typical of historical digitized texts. |
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## Model Details |
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### Model Description |
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- **Developed by:** University of Zurich (UZH) from the [Impresso team](https://impresso-project.ch). The project is an interdisciplinary project focused on historical media analysis across languages, time, and modalities. Funded by the Swiss National Science Foundation ([CRSII5_173719](http://p3.snf.ch/project-173719), [CRSII5_213585](https://data.snf.ch/grants/grant/213585)) and the Luxembourg National Research Fund (grant No. 17498891). |
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- **Model type:** Language identification using a transformer-based classification architecture |
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- **Languages:** French, German, English, Italian, Luxembourgish |
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- **License:** AGPL-3.0 |
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- **Finetuned from:** Custom model trained on historical newspaper data from the Impresso corpus |
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## How to Use |
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```python |
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from transformers import pipeline |
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MODEL_NAME = "impresso-project/language-identifier" |
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lang_pipeline = pipeline( |
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"langident", |
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model=MODEL_NAME, |
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trust_remote_code=True, |
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device="cpu", |
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) |
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text = """En l'an 1348, au plus fort des ravages de la peste noire à travers |
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l'Europe, le Royaume de France se trouvait à la fois au bord du désespoir et |
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face à une opportunité.""" |
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langs = lang_pipeline(text) |
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print(langs) |
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``` |
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## Output Format |
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The output is a single dictionary with the predicted language and confidence score: |
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```python |
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{ |
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"language": "fr", |
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"score": 1.0 |
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} |
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``` |
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## Use Cases |
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- Preprocessing for OCR and NLP tasks on historical corpora |
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- Document and segment-level language tagging |
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- Filtering and sorting multilingual newspaper archives |
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## Limitations |
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- Works best on **sentence- or paragraph-length** texts |
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- May struggle with code-switching or OCR-degraded text that mixes languages |
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- Primarily optimized for **Impresso-like sources** (19th–20th century newspapers) |
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## Installation |
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```bash |
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pip install transformers floret |
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``` |
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## Contact |
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- Website: [https://impresso-project.ch](https://impresso-project.ch) |
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<p align="center"> |
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<img src="https://github.com/impresso/impresso.github.io/blob/master/assets/images/3x1--Yellow-Impresso-Black-on-White--transparent.png?raw=true" width="300" alt="Impresso Logo"/> |
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</p> |
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