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We have built a free-format text parsing API, Sorting Office (https://sorting-office.openaddressesuk.org) that takes free-format addresses and turns them into well-structured addresses. It can do this because of our knowledge of how UK addresses are structured and of our knowledge of the building blocks (towns, postcodes, etc) that form UK addresses.
We know that the platform needs to support Welsh language addresses. The data model can support Welsh language addresses already.
But when we extend the thinking to services, like Sorting Office, we need to understand if or how Welsh language addresses differ.
What would be the algorithm for turning a free-format Welsh address into a structured address?
The text was updated successfully, but these errors were encountered:
Investigating in OS Open Names shows examples of the 1-1 match (this sample is from SS68.csv):
The gaps are interesting. When we implement the capability to learn new building blocks then we could help to fill in this missing information through people using the services.
Waiting to hear from others to confirm if the structure is the same and hence if 1-1 matching always works. e.g. we need to be careful of nuances such as building block 1 (road) is English but building block two (town) is Welsh.
We have built a free-format text parsing API, Sorting Office (https://sorting-office.openaddressesuk.org) that takes free-format addresses and turns them into well-structured addresses. It can do this because of our knowledge of how UK addresses are structured and of our knowledge of the building blocks (towns, postcodes, etc) that form UK addresses.
We know that the platform needs to support Welsh language addresses. The data model can support Welsh language addresses already.
But when we extend the thinking to services, like Sorting Office, we need to understand if or how Welsh language addresses differ.
What would be the algorithm for turning a free-format Welsh address into a structured address?
The text was updated successfully, but these errors were encountered: