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155 lines
4.0 KiB
Markdown
155 lines
4.0 KiB
Markdown
---
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title: MorphAnalysis
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tag: class
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source: spacy/tokens/morphanalysis.pyx
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---
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Stores a single morphological analysis.
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## MorphAnalysis.\_\_init\_\_ {#init tag="method"}
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Initialize a MorphAnalysis object from a UD FEATS string or a dictionary of
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morphological features.
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> #### Example
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>
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> ```python
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> from spacy.tokens import MorphAnalysis
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>
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> feats = "Feat1=Val1|Feat2=Val2"
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> m = MorphAnalysis(nlp.vocab, feats)
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> ```
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| Name | Type | Description |
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| ----------- | ------------------ | ----------------------------- |
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| `vocab` | `Vocab` | The vocab. |
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| `features` | `Union[Dict, str]` | The morphological features. |
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| **RETURNS** | `MorphAnalysis` | The newly constructed object. |
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## MorphAnalysis.\_\_contains\_\_ {#contains tag="method"}
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Whether a feature/value pair is in the analysis.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1,Val2|Feat2=Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> assert "Feat1=Val1" in morph
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> ```
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| Name | Type | Description |
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| ----------- | ----- | ------------------------------------- |
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| **RETURNS** | `str` | A feature/value pair in the analysis. |
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## MorphAnalysis.\_\_iter\_\_ {#iter tag="method"}
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Iterate over the feature/value pairs in the analysis.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1|Feat2=Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> for feat in morph:
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> print(feat)
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> ```
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| Name | Type | Description |
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| ---------- | ----- | ------------------------------------- |
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| **YIELDS** | `str` | A feature/value pair in the analysis. |
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## MorphAnalysis.\_\_len\_\_ {#len tag="method"}
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Returns the number of features in the analysis.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1,Val2|Feat2=Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> assert len(morph) == 3
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> ```
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| Name | Type | Description |
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| ----------- | ----- | --------------------------------------- |
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| **RETURNS** | `int` | The number of features in the analysis. |
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## MorphAnalysis.\_\_str\_\_ {#str tag="method"}
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Returns the morphological analysis in the UD FEATS string format.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1,Val2|Feat2=Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> assert str(morph) == feats
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> ```
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| Name | Type | Description |
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| ----------- | ----- | ---------------------------------|
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| **RETURNS** | `str` | The analysis in UD FEATS format. |
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## MorphAnalysis.get {#get tag="method"}
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Retrieve a feature by field.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1,Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> assert morph.get("Feat1") == ['Feat1=Val1', 'Feat1=Val2']
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> ```
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| Name | Type | Description |
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| ----------- | ------ | ----------------------------------- |
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| `field` | `str` | The field to retrieve. |
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| **RETURNS** | `list` | A list of the individual features. |
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## MorphAnalysis.to_dict {#to_dict tag="method"}
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Produce a dict representation of the analysis, in the same format as the tag
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map.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1,Val2|Feat2=Val2"
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> morph = MorphAnalysis(nlp.vocab, feats)
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> assert morph.to_dict() == {'Feat1': 'Val1,Val2', 'Feat2': 'Val2'}
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> ```
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| Name | Type | Description |
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| ----------- | ------ | -----------------------------------------|
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| **RETURNS** | `dict` | The dict representation of the analysis. |
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## MorphAnalysis.from_id {#from_id tag="classmethod"}
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Create a morphological analysis from a given hash ID.
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> #### Example
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>
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> ```python
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> feats = "Feat1=Val1|Feat2=Val2"
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> hash = nlp.vocab.strings[feats]
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> morph = MorphAnalysis.from_id(nlp.vocab, hash)
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> assert str(morph) == feats
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> ```
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| Name | Type | Description |
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| ------- | ------- | -------------------------------- |
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| `vocab` | `Vocab` | The vocab. |
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| `key` | `int` | The hash of the features string. |
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