Makoto Morishita

Domain Adaptation of Machine Translation with Crowdworkers

2022 · arXiv (Cornell University)

Although a machine translation model trained with a large in-domain parallel corpus achieves remarkable results, it still works poorly when no in-domain data are available. This situation restricts the applicability of machine translation when the …

Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs

2024

In recent years, neural machine translation (NMT) has been widely used in everyday life.However, the current NMT lacks a mechanism to adjust the difficulty level of translations to match the user's language level.Additionally, due to …