client.RemoteText

client.RemoteText(self, txt='', fn=None, server=None, **kwargs)

Duck-types prosodic.texts.texts.TextModel.

Sends text to a remote prosodic server for parsing. The interface is identical to the local TextModel: .lines, .parse(), .best_parse, etc.

Methods

Name	Description
corpora	List available corpora.
fit	Train MaxEnt weights on this text via the remote server.
load	Load saved remote parse results.
meter_defaults	Get available constraints and default meter config.
parse	Parse all lines via the remote server.
parse_lines	Parse each line individually (gets all scansions including bounded).
save	Save parse results to a directory. Loads back with RemoteText.load().

corpora

client.RemoteText.corpora()

List available corpora.

fit

client.RemoteText.fit(target_scansion='wswswswsws', zones=3, regularization=100, constraints=None, max_s=2, max_w=2, resolve_optionality=True, syntax=False)

Train MaxEnt weights on this text via the remote server.

Returns RemoteWeights with .weights dict, .accuracy, etc.

load

client.RemoteText.load(path, server=None)

Load saved remote parse results.

Args: path: directory containing remote_parse.json server: optional server for further operations (parse_lines, fit)

Returns: RemoteText with parse results pre-loaded (no server call needed)

meter_defaults

client.RemoteText.meter_defaults()

Get available constraints and default meter config.

parse

client.RemoteText.parse(**kwargs)

Parse all lines via the remote server.

parse_lines

client.RemoteText.parse_lines(**kwargs)

Parse each line individually (gets all scansions including bounded).

save

client.RemoteText.save(path)

Save parse results to a directory. Loads back with RemoteText.load().

Saves as JSON (no pandas/pyarrow required). If pandas is available, also saves a parsed.parquet compatible with TextModel.load().

Args: path: directory to save into (created if needed)

Returns: str: path to the saved directory