Improving Chinese to English Machine Translated Messages through Automatic Post-Editing
Connor Freitas · Western CEDAR (Western Washington University) · 2017
Chinese second language learners of English often use Machine Translators (MT) to translate personal and professional messages from their first language to English. MT’s are not perfect and often create messages lacking in coherence. Through Automatic Post-Editing (APE) we hope to develop a tool that will automatically make corrections to the output of the MT in order to make the message more coherent, increasing confidence that the user has in their message. This will allow the users to feel more confident about their personal and professional writing.