segram.nlp.backend.rulebased.lang.en.grammar.phrases module

class segram.nlp.backend.rulebased.lang.en.grammar.phrases.RulebasedEnglishPhrase(*args: Any, **kwds: Any)

Bases: RulebasedEnglishGrammar, EnglishPhrase, PhraseNLP

Rule-based English spacy phrase.

All grammar classes must be defined as slots classes. This is necessary for ensuring low-memory footprint and better computational efficiency. Even classes with no new slots need to declare __slots__ = (). This requirement is checked during class construction. Other class-specific requirements of this sort as well as their related validation checks may be implemented on specialized grammar classes using the standard __init_subclass__ interface. This allows abstract base classes further down the inheritance chain to check for more complex requirements as well as apply dynamic class customizations.

class segram.nlp.backend.rulebased.lang.en.grammar.phrases.RulebasedEnglishVerbPhrase(*args: Any, **kwds: Any)

Bases: RulebasedEnglishPhrase, EnglishVerbPhrase

Rule-based English spacy verb phrase.

All grammar classes must be defined as slots classes. This is necessary for ensuring low-memory footprint and better computational efficiency. Even classes with no new slots need to declare __slots__ = (). This requirement is checked during class construction. Other class-specific requirements of this sort as well as their related validation checks may be implemented on specialized grammar classes using the standard __init_subclass__ interface. This allows abstract base classes further down the inheritance chain to check for more complex requirements as well as apply dynamic class customizations.

class segram.nlp.backend.rulebased.lang.en.grammar.phrases.RulebasedEnglishNounPhrase(*args: Any, **kwds: Any)

Bases: RulebasedEnglishPhrase, EnglishNounPhrase

Rule-based English spacy noun phrase.

All grammar classes must be defined as slots classes. This is necessary for ensuring low-memory footprint and better computational efficiency. Even classes with no new slots need to declare __slots__ = (). This requirement is checked during class construction. Other class-specific requirements of this sort as well as their related validation checks may be implemented on specialized grammar classes using the standard __init_subclass__ interface. This allows abstract base classes further down the inheritance chain to check for more complex requirements as well as apply dynamic class customizations.

class segram.nlp.backend.rulebased.lang.en.grammar.phrases.RulebasedEnglishDescPhrase(*args: Any, **kwds: Any)

Bases: RulebasedEnglishPhrase, EnglishDescPhrase

Rule-based English spacy desc phrase.

All grammar classes must be defined as slots classes. This is necessary for ensuring low-memory footprint and better computational efficiency. Even classes with no new slots need to declare __slots__ = (). This requirement is checked during class construction. Other class-specific requirements of this sort as well as their related validation checks may be implemented on specialized grammar classes using the standard __init_subclass__ interface. This allows abstract base classes further down the inheritance chain to check for more complex requirements as well as apply dynamic class customizations.

class segram.nlp.backend.rulebased.lang.en.grammar.phrases.RulebasedEnglishPrepPhrase(*args: Any, **kwds: Any)

Bases: RulebasedEnglishPhrase, EnglishPrepPhrase

Rule-based English spacy prep phrase.

All grammar classes must be defined as slots classes. This is necessary for ensuring low-memory footprint and better computational efficiency. Even classes with no new slots need to declare __slots__ = (). This requirement is checked during class construction. Other class-specific requirements of this sort as well as their related validation checks may be implemented on specialized grammar classes using the standard __init_subclass__ interface. This allows abstract base classes further down the inheritance chain to check for more complex requirements as well as apply dynamic class customizations.