Sensible: L2 Translation Assistance by Emulating the Manual Post-Editing Process

Abstract

This paper describes the Post-Editor Z system submitted to the L2 writing assistant task in SemEval-2014. The aim of task is to build a translation assistance system to translate untranslated sentence fragments. This is not unlike the task of post-editing where human translators improve machine-generated translations. Post-Editor Z emulates the manual process of post-editing by (i) crawling and extracting parallel sentences that contain the untranslated fragments from a Web-based translation memory, (ii) extracting the possible translations of the fragments indexed by the translation memory and (iii) applying simple cosine-based sentence similarity to rank possible translations for the untranslated fragment.

USAAR at SemEval-2016 Task 13: Hyponym Endocentricity

“…The Wikipedia List of Lists of Lists (LOLOL) is a crowdsourced list of lists of terms. We adapted the customized crawler 4 (Tan et al, 2014;Tan and Ordan, 2015) to crawl for tables or bullet points in the Wikipedia subpages of the LOLOL for the food domain. We started the crawl from these seed pages under the bullet point of https://en.wikipedia.org/wiki/ List of lists of lists#Food and drink.…”

SemEval 2014 Task 5 - L2 Writing Assistant

“…The two systems on the lower end of the result spectrum use different techniques altogether. The Sensible team approaches the problem by attempting to emulate the manual post-editing process human translators employ to correct MT output (Tan et al, 2014), whereas TeamZ relies on Wiktionary as the sole source (Gupta, 2014).…”