A confidence scoring system can include a model trained using features extracted from
translations that have received user translation ratings. The features can include, eg …

Abstract Systems, methods, and non-transitory computer readable media can generate a
plurality of language clusters based on one or more of: language similarity between …

Technology is disclosed to select a preferred machine translation from multiple machine
translations of a content item, each machine translation from the multiple machine …

Technology is disclosed for creating and tuning classifiers for language dialects and for
generating dialect-specific language modules. A computing device can receive an initial …

Technology is disclosed for mining training data to create machine translation engines.
Training data can be mined as translation pairs from single content items that contain …

Technology is disclosed for snippet pre-translation and dynamic selection of translation
systems. Pre-translation uses snippet attributes such as characteristics of a snippet author …

US9805029B2 - Predicting future translations - Google Patents US9805029B2 - Predicting
future translations - Google Patents Predicting future translations Download PDF Info Publication …

In one embodiment, a method selects a set of accounts related to a video using a first
classifier that is trained to identify the set of accounts from a plurality of accounts and selects …

Abstract Systems, technologies and techniques for generating a customized classification
model are disclosed. The system and technologies, such as THOMSON REUTERS SELF …

Technology for media item and user language classification is disclosed. Media item
classification may use models for associating language identifiers or probability distributions …