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Natural language generation
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==Example== The ''Pollen Forecast for Scotland'' system<ref>R Turner, S Sripada, E Reiter, I Davy (2006). [http://www.aclweb.org/anthology/E06-2020 Generating Spatio-Temporal Descriptions in Pollen Forecasts.] ''Proceedings of EACL06''</ref> is a simple example of a simple NLG system that could essentially be based on a template. This system takes as input six numbers, which give predicted pollen levels in different parts of Scotland. From these numbers, the system generates a short textual summary of pollen levels as its output. For example, using the historical data for July 1, 2005, the software produces: <blockquote> Grass pollen levels for Friday have increased from the moderate to high levels of yesterday with values of around 6 to 7 across most parts of the country. However, in Northern areas, pollen levels will be moderate with values of 4. </blockquote> In contrast, the actual forecast (written by a human meteorologist) from this data was: <blockquote> Pollen counts are expected to remain high at level 6 over most of Scotland, and even level 7 in the south east. The only relief is in the Northern Isles and far northeast of mainland Scotland with medium levels of pollen count. </blockquote> Comparing these two illustrates some of the choices that NLG systems must make; these are further discussed below.
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