support.preprocessing.oolinkage.OOLinkage:
This script compares sentences from Open Office 2010 with sentences
from Open Office 2011 (OpenOffice3) according to Levenshtein
distance.
app.autoranking.bootstrap.ExperimentConfigParser:
An extension of the ConfigParser that initializes necessary object
for annotation pipelines according to the settings specified by the
configuration files
sentence.pairwisedataset.PairwiseDataset:
Abstract class that defines the data container that stores the
entire dataset of parallel sentences, but internally this has been
re-structured so that every multiple ranking judgment (e.g.
sentence.pairwisedataset.RevertablePairwiseDataset:
Abstract class for pairwise datasets whose internal structure
allows them to be reconstructed back to multi-class sets It
pre-supposes that there are unique pairs per entry (indexable
either by judgment_id or sentence_id)
featuregenerator.wer.werfeaturegenerator.WERFeatureGenerator:
Class that provides a feature generator able to count the number of
the tokens in the given simplesentences sudo apt-get install python
all dev sudo pypi-install python-Levenshtein
dataprocessor.sax.saxps2jcml.Parallelsentence2Jcml:
This is a helper class which is meant to produce quickly an XML
file given a list of parallel sentences, without loading a new
heavy XML object into the memory
dataprocessor.input.schemabasedreader.SchemaData:
Imports and directly objectifies the XML input data, based on a
Schema description Development suspended as it was not possible to
have optional arguments