# Cross-lingual Document Classification on Reuters en -\> de (train test)

Source: [Cross-lingual Document Classification on Reuters en -\> de (train test)](<https://www.sota2.com/research/sota/cross-lingual-document-classification-on-reuters-en-de-train-test>)

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

Data updated: 2026-02-26T05:27:11.028Z

Evaluation of Cross-lingual Document Classification performance on the train/test splits of the Reuters dataset, specifically for the English to German translation task.

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 | Cross-lingual Document Classification |
| Dataset (including any stated split) | Reuters en -\> de (train test) |
| Metric | Accuracy |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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/cross-lingual-document-classification-on-reuters-en-de-train-test.md?metric=Accuracy>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| BICVM+ | 0.862 | Not recorded | 68fa61481e209131ce9f35e7 |
| BICVM | 0.837 | Not recorded | 68fa61481e209131ce9f35e7 |
| I-Matrix | 0.776 | Not recorded | 68fa61481e209131ce9f35e7 |
| MT | 0.681 | Not recorded | 68fa61481e209131ce9f35e7 |
| Glossed | 0.651 | Not recorded | 68fa61481e209131ce9f35e7 |
| Majority Class | 0.468 | Not recorded | 68fa61481e209131ce9f35e7 |

### BICVM+

Accuracy: 0.862. Result ID: 698bcc0f7a967eddb7716a9e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

[Implementation](<http://www.karlmoritz.com./>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

### BICVM

Accuracy: 0.837. Result ID: 698bcc0f7a967eddb7716a9d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

[Implementation](<http://www.karlmoritz.com./>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

### I-Matrix

Accuracy: 0.776. Result ID: 698bcc0f7a967eddb7716a9c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

### MT

Accuracy: 0.681. Result ID: 698bcc0f7a967eddb7716a9b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

### Glossed

Accuracy: 0.651. Result ID: 698bcc0f7a967eddb7716a9a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

### Majority Class

Accuracy: 0.468. Result ID: 698bcc0f7a967eddb7716a99.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61481e209131ce9f35e7.md>)

Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction.

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