Auto transformation of network data models using neural machine translation

US11681880B2 · kind B2 · utility

Assignee

• Dell Products L.P. · US

Inventors

• Vinay Sawal · Fremont, US
• Brian Pierce · San Jose, US
• Geetha Sekar · San Ramon, US
• Bernard Sarpong Duffour · San Jose, US
• Eric Seifert · East Northport, US
• Srividhya Nadhadhur Murali · San Jose, US

Key dates

• Filing date: Jul 7, 2020
• Grant date: Jun 20, 2023
• Expiry date: Mar 12, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/048
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Described herein are systems and methods for neural machine translation (NMT) of languages between network operation systems. The languages may be a query language, such as a XML path, to navigate through elements and attributes in an XML document. An NMT model comprises an encoder and a decoder to implement the machine translation. The encoder encodes a source sentence as a sequence of encoder hidden states. The decoder may incorporate attention mechanism to generate a target sentence, conditioned on the encoder hidden states. The NMT model may also use a modified beam search with variable beam width and search scope for each search step to speed up search process with a balance of accuracy and processing cost. Evaluation results demonstrate that embodiments of the present disclosure may be used in a recommender system for XPath auto-generation between different network operation systems.