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The '''NER model''' is a method for determining the [[accuracy]] of live [[Subtitle (captioning)|subtitles]] in [[television]] broadcasts and events that are produced using speech recognition. The three letters stand for '''n'''umber, '''e'''dition error and '''r'''ecognition error. It is an alternative to the [[Word error rate|WER model]] ('''W'''ord '''E'''rror '''R'''ate) used in several countries.<br />
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The model contains a [[formula]] to determine the quality of live subtitles: a NER value of 100 indicates that the content was subtitled entirely correctly. This overall [[score]] is calculated as follows: Firstly, the number of edit and recognition errors is deducted from the total number of words in the live subtitles. This number is then divided by the total number of words in the live subtitles and finally multiplied by one hundred.<br />
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:<math>NER value=\frac{N - E - R}{N} * 100</math>.<br />
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The acronyms stand for the following:<br />
* ''N'' (number) = total number of words in the live subtitles<br />
* ''E'' (Edition error) = edition error<br />
* ''R'' (Recognition error) = recognition error<br />
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This measurement process is already used for public television broadcasts in several European countries like [[Italy]] and [[Switzerland]]. Other countries and authorities like [[Ofcom|British Ofcom]] have already expressed an interest.<br />
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By way of contrast, the WER model is static, since it simply measures the textual discrepancy between that which was written and spoken.<br />
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== See also ==<br />
* [[Word error rate]]<br />
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== References ==<br />
* Pablo Romero-Fresco: Subtitling through Speech Recognition: Respeaking. Manchester: St. Jerome 2011, ISBN 9781905763283<br />
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== External links ==<br />
* [http://www.itu.int/dms_pub/itu-t/oth/06/5B/T065B0000090031PPTE.ppt], presentation of the NER model at the International Telecommunications Union - Geneva, November 25, 2011<br />
* [http://stakeholders.ofcom.org.uk/binaries/consultations/subtitling/summary/subtitling.pdf], British Ofcom - The quality of live subtitling, May 2013<br />
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[[Category:Speech recognition]]</div>en>Policron