Papers with WMT 2020 shared task
Data Filtering using Cross-Lingual Word Embeddings (2021.naacl-main)
Copied to clipboard
| Challenge: | varying task definitions and data conditions make it difficult to draw a meaningful comparison. |
| Approach: | They propose to use language identification to perform data filtering on MT data based on cross-lingual word embeddings to identify weaknesses in language identification tool. |
| Outcome: | The proposed methods perform well on three real-life, high resource MT tasks while performing weakly within more realistic task conditions. |
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation (2021.tacl-1)
Copied to clipboard
| Challenge: | a large study of machine translation systems shows poor evaluation procedures can lead to erroneous conclusions. |
| Approach: | They propose an evaluation methodology grounded in explicit error analysis based on the Multidimensional Quality Metrics framework. |
| Outcome: | The proposed evaluation methodology outperforms crowd workers in two languages . it shows that human-based metrics outperformed crowd workers . |