Abstract: Automatic post-editing of machine translated content is disclosed herein. An example method includes receiving a source document for translation, calculating semantic signatures of text chunks within the source document using an artificial intelligence (AI) model, matching the semantic signatures against a repository of previous translations, and displaying a document-based visualization that includes both semantic and exact matches found in the repository of previous translations.

Abstract: A method and system for providing a translation decision assistant are provided. In an exemplary method, a document is processed to determine a job value and document insights. A machine learning aggregation process extracts resources including people, machine translation engines, terminology, and workflows. The machine learning aggregation process from prior training selects resources from various evaluations. A constraint filter processes the resources with external constraints including hard constraints and soft constraints. The constraint filter outputs ranked resources by cost, quality, and time. A decision filter step selects the best resources from the constraint filter outputs based on the job value and time, cost, and quality criteria and presents to a user or allows Translation Management System to make automated allocation and routing decisions.

Abstract: A computer implemented method of and system for evaluating translations using a trained neural network. The inputs to the neural network for training and evaluating translations include a source content, translated content, source and target language identifier. Additional inputs for neural network training and evaluating translations can include translation origin before adaptation identifiers, file types, translator identifiers, customer identifiers, and content domain identifiers. The neural network outputs an indication that the translation is either correct or incorrect. Corrections by a reviewer or translator can be used in feedback for further training of the evaluation neural network.

Abstract: Translation review workflow systems and methods are disclosed herein. Some embodiments include a web content management system having a translation preview agent, the web content management system managing web content for publishing, a translation system that manages translation content of the web content, and a translation preview service that generates a translation preview of the web content with the translated content that is embedded within the web content to maintain context for a translator.