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- [papers.md](https://md.mova.elamur.ai/free/en/docs/treebanks/zh/gsdsimp/papers/) — Papers: UD_Chinese-GSDSimp

# UD_Chinese-GSDSimp

Treebank card from UD release 2.18: metadata and texts come from `UD_Chinese-GSDSimp/README.md`; size is counted by streaming the `.conllu` files and checked against the release `stats.xml`. Generated by `tools/treebanks build`; do not edit by hand. Papers: [Papers: UD_Chinese-GSDSimp](https://md.mova.elamur.ai/free/en/docs/treebanks/zh/gsdsimp/papers/); seeds: `seeds/`; converter: `convert.md`.

| Field | Value |
| --- | --- |
| UD name | UD_Chinese-GSDSimp |
| Language | Chinese (`zh`) |
| Family | Sino-Tibetan |
| Treebank code | `zh_gsdsimp` |
| UD page | [universaldependencies.org/treebanks/zh gsdsimp/index.html](https://universaldependencies.org/treebanks/zh_gsdsimp/index.html) |
| License | CC BY-SA 4.0 |
| Genres | wiki |
| Text in data | yes |
| Parallel | zhgsd |
| In UD since | UD v2.5 |
| Authors | Peng Qi; Koichi Yasuoka |
| Contact | [pengqi@cs.stanford.edu](mailto:pengqi@cs.stanford.edu) |
| Development | in the UD repo (here) |

## Annotation layers

| Layer | Origin |
| --- | --- |
| Lemmas | automatic with corrections |
| UPOS | converted with corrections |
| XPOS | manual native |
| Features | automatic with corrections |
| Relations | converted from manual |

UD scale: *manual native* — annotated by hand directly in UD; *converted from manual* — converted from manual annotation in another scheme; *converted with corrections* — converted and partly corrected by hand; *automatic with corrections* — automatic, with partial manual corrections; *automatic* — automatic; *not available* — the layer is absent.

## Size

| Split | Sentences | Tokens | Words | Multiword tokens | Empty nodes |
| --- | --- | --- | --- | --- | --- |
| train | 3 997 | 98 614 | 98 614 | 0 | 0 |
| dev | 500 | 12 665 | 12 665 | 0 | 0 |
| test | 500 | 12 010 | 12 010 | 0 | 0 |
| **total** | 4 997 | 123 289 | 123 289 | 0 | 0 |

Tokens are surface tokens (Spanish `vámonos` is one), words are syntactic words (`vamos` + `nos`); multiword tokens are those split into several words; empty nodes are the `N.M` nodes of the enhanced graph.

## Summary

> Simplified Chinese Universal Dependencies dataset converted from the GSD (traditional) dataset with manual corrections.

## Introduction

> This is a simplified Chinese version of the UD Chinese GSD treebank. It is initially automatically converted into simplified Chinese with the OpenCC tool with patterns for mapping punctuation, then corrected with manual fixes.

- [← previous UD_Chinese-GSD](https://md.mova.elamur.ai/free/en/docs/treebanks/zh/gsd/)
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