Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair

arXiv:2404.12299v1 Announce Type: cross
Abstract: In Simultaneous Machine Translation (SiMT) systems, training with a simultaneous interpretation (SI) corpus is an effective method for achieving high-quality yet low-latency systems. However, it is very challenging to curate such a corpus due to limitations in the abilities of annotators, and hence, existing SI corpora are limited. Therefore, we propose a method to convert existing speech translation corpora into interpretation-style data, maintaining the original word order and preserving the entire source content using Large …

arxiv construction cs.ai cs.cl cs.lg cs.sd eess.as interpretation language language models large language large language models type