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Correct alignment example and documentation (#11491) 

* Correct example and documentation

* Added altered example.md

* Changes based on review + apply prettier

* Remote unnecessary 'the'

Co-authored-by: Madeesh Kannan <shadeMe@users.noreply.github.com>

Co-authored-by: Madeesh Kannan <shadeMe@users.noreply.github.com>
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Richard Hudson 2022-09-14 09:36:55 +02:00 committed by GitHub
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16
website/docs/api/example.md
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@ -286,10 +286,14 @@ Calculate alignment tables between two tokenizations.
### Alignment attributes {#alignment-attributes"}
| Name | Description |
| ----- | --------------------------------------------------------------------- |
| `x2y` | The `Ragged` object holding the alignment from `x` to `y`. ~~Ragged~~ |
| `y2x` | The `Ragged` object holding the alignment from `y` to `x`. ~~Ragged~~ |
Alignment attributes are managed using `AlignmentArray`, which is a
simplified version of Thinc's [Ragged](https://thinc.ai/docs/api-types#ragged)
type that only supports the `data` and `length` attributes.
| Name | Description |
| ----- | ------------------------------------------------------------------------------------- |
| `x2y` | The `AlignmentArray` object holding the alignment from `x` to `y`. ~~AlignmentArray~~ |
| `y2x` | The `AlignmentArray` object holding the alignment from `y` to `x`. ~~AlignmentArray~~ |
<Infobox title="Important note" variant="warning">
@ -309,10 +313,10 @@ tokenizations add up to the same string. For example, you'll be able to align
> spacy_tokens = ["obama", "'s", "podcast"]
> alignment = Alignment.from_strings(bert_tokens, spacy_tokens)
> a2b = alignment.x2y
> assert list(a2b.dataXd) == [0, 1, 1, 2]
> assert list(a2b.data) == [0, 1, 1, 2]
> ```
>
> If `a2b.dataXd[1] == a2b.dataXd[2] == 1`, that means that `A[1]` (`"'"`) and
> If `a2b.data[1] == a2b.data[2] == 1`, that means that `A[1]` (`"'"`) and
> `A[2]` (`"s"`) both align to `B[1]` (`"'s"`).
### Alignment.from_strings {#classmethod tag="function"}

10
website/docs/usage/linguistic-features.md
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@ -1422,9 +1422,9 @@ other_tokens = ["i", "listened", "to", "obama", "'", "s", "podcasts", "."]
spacy_tokens = ["i", "listened", "to", "obama", "'s", "podcasts", "."]
align = Alignment.from_strings(other_tokens, spacy_tokens)
print(f"a -> b, lengths: {align.x2y.lengths}") # array([1, 1, 1, 1, 1, 1, 1, 1])
print(f"a -> b, mapping: {align.x2y.dataXd}") # array([0, 1, 2, 3, 4, 4, 5, 6]) : two tokens both refer to "'s"
print(f"a -> b, mapping: {align.x2y.data}") # array([0, 1, 2, 3, 4, 4, 5, 6]) : two tokens both refer to "'s"
print(f"b -> a, lengths: {align.y2x.lengths}") # array([1, 1, 1, 1, 2, 1, 1]) : the token "'s" refers to two tokens
print(f"b -> a, mappings: {align.y2x.dataXd}") # array([0, 1, 2, 3, 4, 5, 6, 7])
print(f"b -> a, mappings: {align.y2x.data}") # array([0, 1, 2, 3, 4, 5, 6, 7])
```
Here are some insights from the alignment information generated in the example
@ -1433,10 +1433,10 @@ above:
- The one-to-one mappings for the first four tokens are identical, which means
they map to each other. This makes sense because they're also identical in the
input: `"i"`, `"listened"`, `"to"` and `"obama"`.
- The value of `x2y.dataXd[6]` is `5`, which means that `other_tokens[6]`
- The value of `x2y.data[6]` is `5`, which means that `other_tokens[6]`
(`"podcasts"`) aligns to `spacy_tokens[5]` (also `"podcasts"`).
- `x2y.dataXd[4]` and `x2y.dataXd[5]` are both `4`, which means that both tokens
4 and 5 of `other_tokens` (`"'"` and `"s"`) align to token 4 of `spacy_tokens`
- `x2y.data[4]` and `x2y.data[5]` are both `4`, which means that both tokens 4
and 5 of `other_tokens` (`"'"` and `"s"`) align to token 4 of `spacy_tokens`
(`"'s"`).
<Infobox title="Important note" variant="warning">