We present a probabilistic bilingual capitalization model for capitalizing machine translation outputs using conditional random fields. Experiments carried out on three language pairs and a variety of experiment conditions show that our model significantly outperforms a strong monolingual capitalization model baseline, especially when working with small datasets and/or European language pairs.
Other related work includes a bilingual capitalization model for capitalizing machine translation (MT) outputs using conditional random fields (CRFs) reported by REF .
Capitalizing Machine Translation
Human Language Technology Conference And Meeting Of The North American Association For Computational Linguistics
Computer Science