Natural Language Processing
What happens to two spaces?
BOTIE
Examples, experiments and workspace controls
Connect a tool's inputs to see what it produces. You can try a branch before connecting it to Result.
Try your own inputs
Use a copy of the example to try your own data. Keep the problem's assumptions in mind, and predict the effect of a change before checking the output. You can also add another branch to compare two ways of doing the calculation.
Context for this challenge
Build a word counter that treats repeated spaces and tabs as separators. Empty pieces should not become words.
Botie's document counter should count words without inventing extra ones whenever a writer inserts repeated spaces or a tab.
Split on whitespace using the word tool, then count the resulting pieces.
Examples and results
- Message
cat dog
- Required result
2
- Message
red blue green
- Required result
3
Try a fresh construction
This clears this draft, including its undo history. Earlier successful attempts stay recorded. Build again without opening hints to record an independent attempt.
Stuck? Inspect a worked construction
The tools below form one possible solution. You can assemble it, follow its signals, and undo that change to return to your own construction.
Assumptions and test precision
This is a small construction problem. The lesson explains the assumptions and the parts of the full method that this example leaves out. Numerical tests allow a difference of 0.001. Lists and structures must also have the right shape.
Whitespace changes, punctuation stays inside a piece
This check uses the pieces from “Count nonempty whitespace-delimited words”.
BOTIE
- Message
red blue green,green
Use a number, text, or an array matching the requested result. For a matrix, put each row in brackets. Saving your prediction runs your current construction on these inputs and checks the earlier examples too.
Build a construction in the workspace above first. This case will test those pieces.
Could you reconstruct the exact original spacing from the resulting words?
A preprocessing choice that is suitable for counting may discard information needed for reconstruction.
This is a small construction problem. The lesson explains the assumptions and the parts of the full method that this example leaves out.
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