Media.Player

Semantic Language Prediction Models

技術優勢

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

技術應用

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

詳細技術說明

None

*Abstract

The inventors have created an algorithm which builds powerful language models to capture and predict natural language. The invention has a variety of real world applications involving machine translation, speech recognition software and information/ database retrieval systems. The improvements provided by the invention are done without sacrificing strong assumptions or intractable model assumptions. A working language model is available via the Ohio Supercomputer Center.

*Principal Investigation

Name: Ming Tan

Department:

Name: Shaojun Wang

Department:

附加資料

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

主要類別

信息和通信技術/電信

細分類別

軟件/應用

國家/地區

美國