SyntaxCoordinationExtractor#

Defined in: voxatlas.features.syntax.clause_structure.coordination

class voxatlas.features.syntax.clause_structure.coordination.SyntaxCoordinationExtractor[source]#

Bases: BaseExtractor

Extract the syntax.clause_structure.coordination feature within the VoxAtlas pipeline.

This public extractor defines the reusable API for computing syntax.clause_structure.coordination from VoxAtlas structured inputs. It consumes token units and produces values aligned to token units, making the extractor a stable pipeline node that can be cited independently of the surrounding execution machinery.

Algorithm#

The extractor derives syntactic descriptors from dependency annotations aligned to tokens or sentences.

  1. Dependency retrieval The required dependency table is loaded from the feature store.

  2. Structural computation The implementation applies relation labeling, clause grouping, or sentence-level aggregation depending on the extractor.

  3. Packaging Results are aligned to token units and returned for later discourse-level summaries.

Notes

This extractor declares the upstream dependencies [‘syntax.dependencies’] and is executed only after those features are available in the pipeline feature store.

Examples

>>> import pandas as pd
>>> from voxatlas.features.feature_input import FeatureInput
>>> from voxatlas.features.feature_output import TableFeatureOutput
>>> from voxatlas.features.syntax.clause_structure.coordination import SyntaxCoordinationExtractor
>>> from voxatlas.pipeline.feature_store import FeatureStore
>>> deps = pd.DataFrame({"id": [1, 2], "deprel": ["conj", "root"]})
>>> store = FeatureStore()
>>> store.add("syntax.dependencies", TableFeatureOutput(feature="syntax.dependencies", unit="token", values=deps))
>>> out = SyntaxCoordinationExtractor().compute(FeatureInput(audio=None, units=None, context={"feature_store": store}), {})
>>> out.values.to_dict()
{1: 1, 2: 0}
name: str = 'syntax.clause_structure.coordination'#
input_units: str | None = 'token'#
output_units: str | None = 'token'#
dependencies: list[str] = ['syntax.dependencies']#
default_config: dict = {}#
compute(feature_input, params)[source]#

Compute the extractor output for a single pipeline invocation.

This method is the reusable execution entry point for the extractor. It receives the standard FeatureInput bundle, applies the configured algorithm, and returns feature values aligned to the extractor output units for storage in the pipeline feature store.

Parameters:

  • feature_input (object) – Structured extractor input bundling audio, hierarchical units, and execution context for this feature computation.

  • params (object) – Resolved feature configuration for this invocation. Keys are feature-specific and merged from defaults and pipeline settings.

Returns:

Structured output aligned to the token unit level when applicable.

Return type:

FeatureOutput

Examples

>>> import pandas as pd
>>> from voxatlas.features.feature_input import FeatureInput
>>> from voxatlas.features.feature_output import TableFeatureOutput
>>> from voxatlas.features.syntax.clause_structure.coordination import SyntaxCoordinationExtractor
>>> from voxatlas.pipeline.feature_store import FeatureStore
>>> deps = pd.DataFrame({"id": [1], "deprel": ["root"]})
>>> store = FeatureStore()
>>> store.add("syntax.dependencies", TableFeatureOutput(feature="syntax.dependencies", unit="token", values=deps))
>>> result = SyntaxCoordinationExtractor().compute(FeatureInput(audio=None, units=None, context={"feature_store": store}), {})
>>> result.unit
'token'