Natural language with discrete speech as a mode for human-to-machine
Communications of the ACM
Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
LDC-1: a transportable, knowledge-based natural language processor for office environments
ACM Transactions on Information Systems (TOIS)
An English language question answering system for a large relational database
Communications of the ACM
Transition network grammars for natural language analysis
Communications of the ACM
Understanding Natural Language
Understanding Natural Language
Understanding Spoken Language
Toward natural language computation
Computational Linguistics
Questioning the need for parsing ill-formed inputs
Computational Linguistics
On the need for careful description of NL prototypes
Computational Linguistics
Using natural language descriptions to improve the usability of databases
ANLC '83 Proceedings of the first conference on Applied natural language processing
Developing calendar visualizers for the information visualizer
UIST '94 Proceedings of the 7th annual ACM symposium on User interface software and technology
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An imperative sentence processor that enables a user to manipulate text with connected speech and touch-graphics input is described. The processor includes capabilities to follow dialogue focus, execute a variety of imperative commands, and handle nested noun groups, pronouns, and other phenomena. A micromodel of the system, giving enough of the structure to enable the reader to observe internal mechanisms in considerable detail, is included. This processor is designed to be transportable to a number of other office automation domains such as calendar management, message-passing, and desk calculation. Various examples and statistics related to its behavior in the text manipulation application are given. The system has been implemented in PASCAL and can run on any machine that supports this language.