Wednesday, February 24, 2016Saarbrücken, Germany
In his recent post, Common Sense Advisory (CSA Research) analyst Arle Lommel stresses that “the path to statistical MT success is paved with big data”. Organisations wanting to develop good machine translation (MT) engines hence need to collect enough language resources to train their systems. According to CSA Research, two general approaches can be used for collecting such data: Harvesting open data sources and mining one’s own translations.
