---
license: cc-by-sa-4.0
language:
  - te
tags:
  - dependency-parsing
  - combo
  - universal-dependencies
datasets:
  - universal_dependencies
model-name: Combo Nlp Xlm Roberta Base Telugu Mtg Ud2.17
pipeline_tag: token-classification
---

# COMBO-NLP Model for Telugu

## Model Description

This is a Telugu-language model based on [combo-nlp](https://pypi.org/project/combo-nlp/), an open-source natural language preprocessing system. It performs:

- sentence segmentation (via [combo-seg](https://pypi.org/project/combo-seg/))
- tokenisation (via [combo-seg](https://pypi.org/project/combo-seg/))
- part-of-speech tagging
- morphological analysis
- lemmatisation
- dependency parsing

The Telugu model uses ``FacebookAI/xlm-roberta-base`` as its base encoder and is trained on [UD_Telugu-MTG](https://github.com/UniversalDependencies/UD_Telugu-MTG) (UD v2.17).

## Evaluation

Evaluation was performed on the UD_Telugu-MTG test split using the standard [CoNLL 2018 eval script](https://universaldependencies.org/conll18/conll18_ud_eval.py).

Two evaluation rows are reported:
- **Full-text (F1)**: raw text is segmented by [combo-seg](https://pypi.org/project/combo-seg/), then parsed and compared against gold — measures end-to-end pipeline performance including segmentation quality.
- **Aligned accuracy**: accuracy on correctly segmented (aligned) tokens — measures parsing quality on tokens that were correctly identified by the segmenter.

### Morphosyntactic Tagging

| Metric | Tokens | Sentences | Words | UPOS | XPOS | UFeats | AllTags | Lemmas |
| ------ | ------ | --------- | ----- | ---- | ---- | ------ | ------- | ------ |
| Full-text (F1) | 99.79 | 97.58 | 99.79 | 94.80 | 94.80 | 98.96 | 94.53 | 99.79 |
| Aligned accuracy | 0.00 | 0.00 | 0.00 | 95.00 | 95.00 | 99.17 | 94.72 | 100.00 |

### Dependency Parsing

| Metric | UAS | LAS | CLAS | MLAS | BLEX |
| ------ | --- | --- | ---- | ---- | ---- |
| Full-text (F1) | 90.64 | 83.16 | 79.43 | 76.19 | 79.43 |
| Aligned accuracy | 90.83 | 83.33 | 79.58 | 76.34 | 79.58 |


## Usage

Install the library from PyPI (assuming you have a virtual environment created):

```bash
pip install combo-nlp
```

The [combo-seg](https://pypi.org/project/combo-seg/) segmenter (used to split and
tokenise raw text) is installed automatically as a dependency of `combo-nlp`, so
no extra install step is needed.

```python
from combo import COMBO

# Load a pre-trained model with the corresponding combo-seg segmenter
nlp = COMBO("Telugu")

# Parse raw text (handles sentence splitting + tokenization)
result = nlp("వేగవంతమైన గోధుమ రంగు నక్క సోమరి కుక్క మీదుగా దూకుతుంది.")

# Inspect results
for sentence in result:
    for token in sentence:
        print(f"{token.form:<15} {token.lemma:<15} {token.upos:<8} head={token.head}  {token.deprel}")
```

Refer to the combo-nlp documentation for installation and usage instructions:

- [https://pypi.org/project/combo-nlp/](https://pypi.org/project/combo-nlp/)
- [https://pypi.org/project/combo-seg/](https://pypi.org/project/combo-seg/)

## License

The training data license: cc-by-sa-4.0 is derived from the Universal Dependencies treebank. For the full license terms of each treebank, please refer to the corresponding `LICENSE.txt` file in the treebank repository:

- [UD_Telugu-MTG LICENSE.txt](https://github.com/UniversalDependencies/UD_Telugu-MTG/blob/master/LICENSE.txt)


## Citation

If you use this model, please cite:

Ulewicz, M., Jabłońska, M., Klimaszewski, M., Przybyła, P., Pszenny, Ł., Rybak, P., Wiącek, M., & Wróblewska, A. (2026). *COMBO-NLP Models Trained on UD v2.17*. Zenodo. https://doi.org/10.5281/zenodo.19650523

```bibtex
@software{combo_nlp_2026,
  author    = {Ulewicz, Michał and Jabłońska, Maja and Klimaszewski, Mateusz and Przybyła, Piotr and Pszenny, Łukasz and Rybak, Piotr and Wiącek, Martyna and Wróblewska, Alina},
  title     = {{COMBO-NLP} Models Trained on {UD} v2.17},
  year      = {2026},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.19650523},
  url       = {https://doi.org/10.5281/zenodo.19650523}
}
```



## Resources

- combo-nlp: [https://pypi.org/project/combo-nlp/](https://pypi.org/project/combo-nlp/)
- combo-seg: [https://pypi.org/project/combo-seg/](https://pypi.org/project/combo-seg/)
- UD_Telugu-MTG: [https://github.com/UniversalDependencies/UD_Telugu-MTG](https://github.com/UniversalDependencies/UD_Telugu-MTG)