tech,7-1-P01-1056,ak Techniques for automatically training modules of a <term> natural language generator </term> have recently been proposed , but a fundamental concern is whether the <term> quality </term> of <term> utterances </term> produced with trainable components can compete with <term> hand-crafted template-based or rule-based approaches </term> .
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