parser-td


Nameparser-td JSON
Version 0.0.1 PyPI version JSON
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home_pageNone
SummaryThai dependency parser.
upload_time2024-12-11 08:12:40
maintainerNone
docs_urlNone
authorNone
requires_python>=3.8
licenseMIT
keywords python thai dependency dependency parser
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            # Parser-TD : Thai Dependency Parser
`parser-td` is a Thai dependency parser trained using [stanza](https://github.com/stanfordnlp/stanza/tree/main). Parser-td uses [PhayaThaiBERT](https://huggingface.co/clicknext/phayathaibert) as a based model in training process. The model refer to **Stanza*P with no POS** model in [Thai Universal Dependency Treebank (TUD)](https://github.com/nlp-chula/TUD).

## Content
1. [Installation](#installation)
2. [Usage](#Usage)

## Installation
`parser-td` can be installed usig `pip`ː
```
pip install parser-td
```

## Usage
### Initalizing

```python
from parser-td.depparse import load_model, depparse

nlp = load_model()
```

```python
text = 'ฉันอยากกินข้าวที่แม่ทำ'

dep = depparse(text, nlp)
```

### Access the results

```python
print(f'\n{text}\n',*[f'id: {word.id}\tword: {word.text}\thead id: {word.head}\thead: {sent.words[word.head-1].text if word.head > 0 else "root"}\tdeprel: {word.deprel}' for sent in dep.sentences for word in sent.words], sep='\n')
```
- `.id` : the id of the word.
- `.head` : the head of the word.
- `.deprel` : the dependency relationship between the word and the head.



## Citation
If you use `parser-td` in your project or publication, please cite as follows:

*BibTex*

```
@article{Sriwirote-etal-2024-TUD,
  title={The Thai Universal Dependency Treebank},
  author={Panyut Sriwirote and Wei Qi Leong and 
  Charin Polpanumas and Santhawat Thanyawong  and 
  William Chandra Tjhi and Wirote Aroonmanakun and 
  Attapol T. Rutherford},
  journal={Transactions of the Association for Computational Linguistics},
  year={in press},
  publisher={MIT Press Direct}
}
```

            

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    "description": "# Parser-TD : Thai Dependency Parser\r\n`parser-td` is a Thai dependency parser trained using [stanza](https://github.com/stanfordnlp/stanza/tree/main). Parser-td uses [PhayaThaiBERT](https://huggingface.co/clicknext/phayathaibert) as a based model in training process. The model refer to **Stanza*P with no POS** model in [Thai Universal Dependency Treebank (TUD)](https://github.com/nlp-chula/TUD).\r\n\r\n## Content\r\n1. [Installation](#installation)\r\n2. [Usage](#Usage)\r\n\r\n## Installation\r\n`parser-td` can be installed usig `pip`\u02d0\r\n```\r\npip install parser-td\r\n```\r\n\r\n## Usage\r\n### Initalizing\r\n\r\n```python\r\nfrom parser-td.depparse import load_model, depparse\r\n\r\nnlp = load_model()\r\n```\r\n\r\n```python\r\ntext = '\u0e09\u0e31\u0e19\u0e2d\u0e22\u0e32\u0e01\u0e01\u0e34\u0e19\u0e02\u0e49\u0e32\u0e27\u0e17\u0e35\u0e48\u0e41\u0e21\u0e48\u0e17\u0e33'\r\n\r\ndep = depparse(text, nlp)\r\n```\r\n\r\n### Access the results\r\n\r\n```python\r\nprint(f'\\n{text}\\n',*[f'id: {word.id}\\tword: {word.text}\\thead id: {word.head}\\thead: {sent.words[word.head-1].text if word.head > 0 else \"root\"}\\tdeprel: {word.deprel}' for sent in dep.sentences for word in sent.words], sep='\\n')\r\n```\r\n- `.id` : the id of the word.\r\n- `.head` : the head of the word.\r\n- `.deprel` : the dependency relationship between the word and the head.\r\n\r\n\r\n\r\n## Citation\r\nIf you use `parser-td` in your project or publication, please cite as follows:\r\n\r\n*BibTex*\r\n\r\n```\r\n@article{Sriwirote-etal-2024-TUD,\r\n  title={The Thai Universal Dependency Treebank},\r\n  author={Panyut Sriwirote and Wei Qi Leong and \r\n  Charin Polpanumas and Santhawat Thanyawong  and \r\n  William Chandra Tjhi and Wirote Aroonmanakun and \r\n  Attapol T. Rutherford},\r\n  journal={Transactions of the Association for Computational Linguistics},\r\n  year={in press},\r\n  publisher={MIT Press Direct}\r\n}\r\n```\r\n",
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