| other,11-1-P95-1034,ak | <term> Large-scale natural language generation </term> requires the integration of vast amounts of <term> knowledge </term> : lexical , grammatical , and conceptual . | #27961 Large-scale natural language generation requires the integration of vast amounts of knowledge : lexical, grammatical, and conceptual. | |
| other,13-2-P95-1034,ak | A <term> robust generator </term> must be able to operate well even when pieces of <term> knowledge </term> are missing . | #27983 A robust generator must be able to operate well even when pieces of knowledge are missing. | |
| other,18-6-P95-1034,ak | We also discuss how the <term> hybrid generation model </term> can be used to simplify current <term> generators </term> and enhance their <term> portability </term> , even when perfect <term> knowledge </term> is in principle obtainable . | #28048 We also discuss how the hybrid generation model can be used to simplify current generators and enhance their portability , even when perfect knowledge is in principle obtainable. | |
| other,23-6-P95-1034,ak | We also discuss how the <term> hybrid generation model </term> can be used to simplify current <term> generators </term> and enhance their <term> portability </term> , even when perfect <term> knowledge </term> is in principle obtainable . | #28053 We also discuss how the hybrid generation model can be used to simplify current generators and enhance their portability, even when perfect knowledge is in principle obtainable. |
