| 英文摘要 |
The need to study text generation is obvious. It is one of the two ways in which people communicate with one another. Thus, if we can simulate this capability computationally, we would be able to use the techniques in many applications such as (1) automatic generation of reports, manuals, and letters, (2) providing a natural language· interface from a system to its users, (3) an nature language interpreter for reading and debugging information encoded in some formal notation such as a knowledge base and a software specification. Text generation is already established as a research area within computational linguistics [Mann 1982]. It has a rather late start compared to other areas in computational lingustics. |
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