Unlike some fields in machine learning, machine translation still requires large sets of training data. The solution? Creating more data when none (or not enough) exists.
The post Working Around Machine Translation’s Need for Large-Scale Training Data appeared first on Slator .
For more information, please visit
https://slator.com/working-around-machin[...]for-large-scale-training-data/
Apple, FBI and encryption – four issues enterprises should care about - Diginomica views: 1762
SatoshiLabs partners with Tech Bureau to promote TREZOR bitcoin hardware wallet in Japan - EconoTimes views: 1706
Apple, FBI and encryption – four issues enterprises should care about - Diginomica views: 1695