# Part-of-Speech (POS) Tagging (dev)

Source: [Part-of-Speech (POS) Tagging (dev)](<https://www.sota2.com/research/sota/part-of-speech-pos-tagging-dev>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:27:33.798Z

Evaluation of Part-of-Speech Tagging performance on the development split of the Part-of-Speech (POS) Tagging dataset, measured using Accuracy.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Part-of-Speech Tagging |
| Dataset (including any stated split) | Part-of-Speech (POS) Tagging (dev) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/part-of-speech-pos-tagging-dev.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ZEN (P) | 97.43 | Not recorded | 68fa669b1e209131cea115e1 |
| BERT (P) | 96.3 | Not recorded | 68fa669b1e209131cea115e1 |
| ZEN (R) | 96.12 | Not recorded | 68fa669b1e209131cea115e1 |
| BERT (R) | 95.72 | Not recorded | 68fa669b1e209131cea115e1 |

### ZEN (P)

Accuracy: 97.43. Result ID: 698cfc158b517eb4331e2a13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Implementation](<https://github.com/sinovation/ZEN>)

Recorded evaluation configuration: {"Initialization":"Pre-trained","Backbone Scale":"Base"}. This record does not assert independent reproduction.

### BERT (P)

Accuracy: 96.3. Result ID: 698cfc158b517eb4331e2a11.

[Reporting paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Initialization":"Pre-trained","Backbone Scale":"Base"}. This record does not assert independent reproduction.

### ZEN (R)

Accuracy: 96.12. Result ID: 698cfc158b517eb4331e2a12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Implementation](<https://github.com/sinovation/ZEN>)

Recorded evaluation configuration: {"Initialization":"Random","Backbone Scale":"Base"}. This record does not assert independent reproduction.

### BERT (R)

Accuracy: 95.72. Result ID: 698cfc158b517eb4331e2a10.

[Reporting paper](<https://www.sota2.com/research/paper/68fa669b1e209131cea115e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65c31e209131cea0c4ed.md>)

[Implementation](<https://github.com/google-research/bert>)

Recorded evaluation configuration: {"Initialization":"Random","Backbone Scale":"Base"}. This record does not assert independent reproduction.

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