Abstract
Table 6.1: Overview of the corpora used in experiments.
['[BOLD] Name', '[BOLD] Text Length', '[BOLD] Vocabulary Size']
This is supposed to provide a better picture of how well models generalize to yet unseen data and avoid over-training. In the following plots, I use short names to identify the various combinations of algorithms, parameters and corpora. I use the following convention for naming experiment runs: [algorithm_name].[value of C parameter]. By BROWN_NW, I mean the version of Brown clustering that does not use any window but, instead, makes decisions over the entire vocabulary. This is the first algorithm proposed by \citetbrown1992class.