wehub-resource-sync
49 lines
1.1 KiB
Markdown
49 lines
1.1 KiB
Markdown
---
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jupytext:
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formats: ipynb,md:myst
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text_representation:
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extension: .md
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format_name: myst
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format_version: '0.8'
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jupytext_version: 1.4.2
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kernelspec:
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display_name: Python 3
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language: python
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name: python3
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---
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# pos
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The process of classifying words into their **parts of speech** and labeling them accordingly is known as **part-of-speech tagging**, **POS-tagging**, or simply **tagging**.
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To tag a tokenized sentence:
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````{margin} Batching is Faster
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```{hint}
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Tag multiple sentences at once for faster speed!
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```
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````
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```{code-cell} ipython3
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:tags: [output_scroll]
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import hanlp
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pos = hanlp.load(hanlp.pretrained.pos.CTB9_POS_ELECTRA_SMALL)
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pos(['我', '的', '希望', '是', '希望', '世界', '和平'])
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```
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````{margin} Custom Dictionary Supported
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```{seealso}
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See [this tutorial](https://github.com/hankcs/HanLP/blob/master/plugins/hanlp_demo/hanlp_demo/zh/demo_pos_dict.py) for custom dictionary.
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```
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````
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All the pre-trained taggers and their details are listed below.
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```{eval-rst}
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.. automodule:: hanlp.pretrained.pos
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:members:
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``` |