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Semantic Language Prediction Models

Technology Benefits

- Achieve significantly better translation quality measured by the BLEU score- Improves readability of the translation

Technology Application

- Machine translation- Speech recognition programs/applications - Information retrieval

Detailed Technology Description

None

Supplementary Information

Inventor: Wang, Shaojun | Tan, Ming
Priority Number: US20130325436A1
IPC Current: G06F001727 | G10L001518
US Class: 704009 | 704E15018
Assignee Applicant: Wright State University,Dayton
Title: Large Scale Distributed Syntactic, Semantic and Lexical Language Models
Usefulness: Large Scale Distributed Syntactic, Semantic and Lexical Language Models
Novelty: Composite language models for machine translation, speech recognition and information retrieval, has composite word predictor to predict next word, and approximate expectation-maximization and follow-up expectation-maximization algorithm

Industry

ICT/Telecom

Sub Group

Software/Application

Country/Region

USA

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