Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite
Table 3: QE accuracy (%) on error types related to verb tenses
['[EMPTY]', 'amount', 'B17 baseline', 'B13 winning', '⌈ basic', 'A17 RFECV', '⌉ full']
We notice that verb tenses, aspects, moods and types comprise a major error category which contains more than 2,000 samples. This enables us to look into the subcategories related to the verbs. The tense with the best performance is the future II subjunctive II with a 78% accuracy by B13. Despite its success in the broad spectrum of error categories, A17-full performs relatively poorly on verb tenses.