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Ines Montani 2019-08-06 12:13:31 +02:00
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website/docs/usage/rule-based-matching.md
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@ -157,18 +157,18 @@ The available token pattern keys are uppercase versions of the
[`Token` attributes](/api/token#attributes). The most relevant ones for [`Token` attributes](/api/token#attributes). The most relevant ones for
rule-based matching are: rule-based matching are:
| Attribute | Type |  Description | | Attribute | Type |  Description |
| -------------------------------------- | ------- | ------------------------------------------------------------------------------------------------ | | -------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------ |
| `ORTH` | unicode | The exact verbatim text of a token. | | `ORTH` | unicode | The exact verbatim text of a token. |
| `TEXT` <Tag variant="new">2.1</Tag> | unicode | The exact verbatim text of a token. | | `TEXT` <Tag variant="new">2.1</Tag> | unicode | The exact verbatim text of a token. |
| `LOWER` | unicode | The lowercase form of the token text. | | `LOWER` | unicode | The lowercase form of the token text. |
|  `LENGTH` | int | The length of the token text. | |  `LENGTH` | int | The length of the token text. |
|  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | bool | Token text consists of alphanumeric characters, ASCII characters, digits. | |  `IS_ALPHA`, `IS_ASCII`, `IS_DIGIT` | bool | Token text consists of alphanumeric characters, ASCII characters, digits. |
|  `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | bool | Token text is in lowercase, uppercase, titlecase. | |  `IS_LOWER`, `IS_UPPER`, `IS_TITLE` | bool | Token text is in lowercase, uppercase, titlecase. |
|  `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | bool | Token is punctuation, whitespace, stop word. | |  `IS_PUNCT`, `IS_SPACE`, `IS_STOP` | bool | Token is punctuation, whitespace, stop word. |
|  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | bool | Token text resembles a number, URL, email. | |  `LIKE_NUM`, `LIKE_URL`, `LIKE_EMAIL` | bool | Token text resembles a number, URL, email. |
|  `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | unicode | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. | |  `POS`, `TAG`, `DEP`, `LEMMA`, `SHAPE` | unicode | The token's simple and extended part-of-speech tag, dependency label, lemma, shape. |
| `ENT_TYPE` | unicode | The token's entity label. | | `ENT_TYPE` | unicode | The token's entity label. |
| `_` <Tag variant="new">2.1</Tag> | dict | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). | | `_` <Tag variant="new">2.1</Tag> | dict | Properties in [custom extension attributes](/usage/processing-pipelines#custom-components-attributes). |
<Infobox title="Tip: Try the interactive matcher explorer"> <Infobox title="Tip: Try the interactive matcher explorer">
@ -1140,8 +1140,9 @@ To apply this logic automatically when we process a text, we can add it to the
above logic also expects that entities are merged into single tokens. spaCy above logic also expects that entities are merged into single tokens. spaCy
ships with a handy built-in `merge_entities` that takes care of that. Instead of ships with a handy built-in `merge_entities` that takes care of that. Instead of
just printing the result, you could also write it to just printing the result, you could also write it to
[custom attributes](/usage/processing-pipelines#custom-components-attributes) on the [custom attributes](/usage/processing-pipelines#custom-components-attributes) on
entity `Span` – for example `._.orgs` or `._.prev_orgs` and `._.current_orgs`. the entity `Span` – for example `._.orgs` or `._.prev_orgs` and
`._.current_orgs`.
> #### Merging entities > #### Merging entities
> >