| 摘要 |
Computer understanding and generation of computer instructions from natural language dialog utilizes using processes and data structures that map natural language utterances to computer program modules. A series of dictionaries, including a subject area dictionary, a program module subdictionary, an argument subdictionary and a value subdictionary are built and used by a computer instruction generator program to map natural language utterances to computer instructions. Selection of appropriate computer program modules is performed using matching algorithms and is enhanced using historically successful probability-based data.
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