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What is the Difference Between the Dictionary and Auto Text?

All users => This article presents you with an overview of both speech recognition features.

Both, the Dictionary and Auto Text feature are tools within the T-Pro speech recognition platform. They allow specific words and terms to be boosted, making it more likely that the system will recognise and transcribe them correctly.

While Auto Text works with a replacement rule, the Dictionary does not remove or substitute any other words from the system.

For the Dictionary, only the one term you want to improve recognition for needs to be provided along with a category such as people, location, medication, diagnosis, etc.

Understanding the difference of these tools which both improve vocabulary accuracy helps ensure the right approach is used.

  Dictionary Auto Text
How it works Boosts a word so the speech engine is more likely to recognise it correctly. The trigger word will be automatically replaced while the rule is active. Rules can be turned off, but use with caution.
What you provide The desired word only. 

Both the incorrect word and the replacement.
Best used when Seeing inconsistent recognition errors, or the incorrect word is one you use in other clinical contexts. There is a consistent, predictable error and you
are confident you will never need the replaced word.
Risk None. No words are removed from the system. The replaced word is permanently hidden. Use
with caution.
Example of appropriate use

A clinician frequently dictates a local ward name such as 'Brindley' but the transcript occasionally shows a different word. Adding 'Brindley' to the Dictionary increases the likelihood of it appearing correctly in the transcript.

 A clinician dictates 'CAMHS' but the transcript displays 'Cams'. They know they will never need the word 'Cams' in their clinical documents, so they create a replacement rule 'Cams' → 'CAMHS'.

Use case to compare the risk associated with Auto Text vs Dictionary:

  • If you create an Auto Text rule to correct "doubling" to "Dublin", you would never be able to dictate the phrase "the patient's heart rate is doubling" - it would always display "Dublin".
  • The Dictionary does not carry this same replacement risk, though boosting a word like "Dublin" - categorised as a place name - the chance it appearing when a similar-sounding word is said is small.

Related articles:

What are Dictionary terms for?

See how Author user can work with the Dictionary

See how administrative staff can work with the Dictionary

If you have any more queries, please do not hesitate to contact our Helpdesk or support@tpro.io​.

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