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StockBroker (An NLP Dialog Manager) Client Dr. Wang, Researcher, Speech Recognition, IBN, Yorktown Heights, NY Developed by Arati Avhad Larry Lefever.

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Presentation on theme: "StockBroker (An NLP Dialog Manager) Client Dr. Wang, Researcher, Speech Recognition, IBN, Yorktown Heights, NY Developed by Arati Avhad Larry Lefever."— Presentation transcript:

1 StockBroker (An NLP Dialog Manager) Client Dr. Wang, Researcher, Speech Recognition, IBN, Yorktown Heights, NY Developed by Arati Avhad Larry Lefever

2 Introduction The application is essentially a “dialog manager” that supports natural language commands for buying and selling stock in corporations. Two servers are used, a "Classer" and a "Parser". These servers provide the Natural Language Processing functionality.

3 Use Cases Currently, only two "use-cases" are supported: Buy shares of a stock Sell shares of a stock - The user enters a natural-language request to buy/sell stock. Expected format (some variations allowed): “... {action}... {integer}... {shares | dollars | percentage}... {stock-symbol} - The application responds with confirmation of the requested action - The application displays the ready-message

4 Class Diagram

5

6 A Typical Dialog StockBroker: Hi, I’m your automated stockbroker StockBroker: Who are you? User: lefever StockBroker: Prove it. Tell me your password. User: password StockBroker: Hi, lefever StockBroker: How might I be of service to you? User: Buy shares StockBroker: How many shares? User: ten shares StockBroker: What fund? User: alliance global small capital a StockBroker: You just bought ten shares of alliance global small capital a User: all done StockBroker: I’ll just wait here for someone to make use of me again

7 Thank You !!!


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