Microsoft Technology Licensing, LLC

Tu Huy Phan

Saliha Azzam

Nicholas Caldwell

Courtney Anne O'Keefe

Gaurav Agarwal

Nicholas Van Joseph Caldwell

Ahmed Mohamed Elbahtemy

Automatically generating a glossary of terms for a given document or group of documents is provided. A single document or a group of documents associated with a given project or event are parsed for one or more unique terms (e.g., words, acronyms, phrases, etc.). Identified terms are passed to a local or external definition source, and definitions for the one or more identified terms are retrieved. Retrieved definitions are presented to a user of the documents, and approved definitions are stored in a project store for subsequent use in association with the documents.

Automatically generating a glossary of terms for a given document or group of documents

In various embodiments, methods and systems for language scaling a natural language processing system (NLPS) are provided. A database schema of a database is accessed. The database schema includes entities that are defined in a query natural language different from an NLPS natural language upon which NLPS components are built. The entities are communicated to a machine translation service and top translations. A translated database schema model is generated based on the entities and translations. When a query associated with the query natural language and the database schema is received, a query translation is generated. The query translation comprises selectively translated portions of the query based on a selective translation mechanism that includes accessing the machine translation service to translate selected portions of the query. The selected portions are selected based on the translated database schema. The query translation is executed on the NLPS components to identify query results.

Language scaling platform for natural language processing systems

Growing community of inventors

Redmond, WA, United States of America

Tu Huy Phan