# Cross-lingual Document Classification on Reuters de -\> en Source: [Cross-lingual Document Classification on Reuters de -\> en]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:21.593Z Evaluation of Cross-lingual Document Classification performance on the Reuters dataset, specifically for the German to English direction, measured by 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 | Cross-lingual Document Classification | | Dataset (including any stated split) | Reuters de -\> en | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 13 of 13 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | BICVM+ | 76.9 | Not recorded | 68fa61481e209131ce9f35e7 | | BilBOWA | 75 | Not recorded | 68fa62491e209131ce9f89b7 | | Bilingual Auto-encoders (BAEs) | 72.8 | Not recorded | 68fa62491e209131ce9f89b7 | | BICVM | 71.4 | Not recorded | 68fa61481e209131ce9f35e7 | | BiCVM | 71.4 | Not recorded | 68fa62491e209131ce9f89b7 | | I-Matrix | 71.1 | Not recorded | 68fa61481e209131ce9f35e7 | | Klementiev et al. | 71.1 | Not recorded | 68fa62491e209131ce9f89b7 | | Glossed | 68.6 | Not recorded | 68fa61481e209131ce9f35e7 | | Glossed Baseline | 68.6 | Not recorded | 68fa62491e209131ce9f89b7 | | MT | 67.4 | Not recorded | 68fa61481e209131ce9f35e7 | | MT Baseline | 67.4 | Not recorded | 68fa62491e209131ce9f89b7 | | Majority Class | 46.8 | Not recorded | 68fa61481e209131ce9f35e7 | | Majority Baseline | 46.8 | Not recorded | 68fa62491e209131ce9f89b7 | ### BICVM+ Accuracy: 76.9. Result ID: 698bcc0f7a967eddb7716aa4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### BilBOWA Accuracy: 75. Result ID: 698c68a937894ef7d9ce2ed0. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training Time (min)":"6","Embedding Dimension":"40"}. This record does not assert independent reproduction. ### Bilingual Auto-encoders (BAEs) Accuracy: 72.8. Result ID: 698c68a937894ef7d9ce2ece. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training Time (min)":"4,800","Embedding Dimension":"40"}. This record does not assert independent reproduction. ### BICVM Accuracy: 71.4. Result ID: 698bcc0f7a967eddb7716aa3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### BiCVM Accuracy: 71.4. Result ID: 698c68a937894ef7d9ce2ecf. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training Time (min)":"15","Embedding Dimension":"40"}. This record does not assert independent reproduction. ### I-Matrix Accuracy: 71.1. Result ID: 698bcc0f7a967eddb7716aa2. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### Klementiev et al. Accuracy: 71.1. Result ID: 698c68a937894ef7d9ce2ecd. [Reporting paper]() Recorded evaluation configuration: {"Training Time (min)":"14,400","Embedding Dimension":"40"}. This record does not assert independent reproduction. ### Glossed Accuracy: 68.6. Result ID: 698bcc0f7a967eddb7716aa0. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### Glossed Baseline Accuracy: 68.6. Result ID: 698c68a937894ef7d9ce2ecb. [Reporting paper]() Recorded evaluation configuration: {"Embedding Dimension":"40"}. This record does not assert independent reproduction. ### MT Accuracy: 67.4. Result ID: 698bcc0f7a967eddb7716aa1. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### MT Baseline Accuracy: 67.4. Result ID: 698c68a937894ef7d9ce2ecc. [Reporting paper]() Recorded evaluation configuration: {"Embedding Dimension":"40"}. This record does not assert independent reproduction. ### Majority Class Accuracy: 46.8. Result ID: 698bcc0f7a967eddb7716a9f. [Reporting paper]() Recorded evaluation configuration: {"Number of labeled examples":"1000","Classifier":"Averaged perceptron"}. This record does not assert independent reproduction. ### Majority Baseline Accuracy: 46.8. Result ID: 698c68a937894ef7d9ce2eca. [Reporting paper]() Recorded evaluation configuration: {"Embedding Dimension":"40"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.