elbbarcs 0.0.2

A library and tool for estimating scrabble letter distributions from corpora

elbbarcs

Find Scrabble™ letter distributions for a corpus.

Usage

Library

from elbbarcs import Estimator

e = Estimator()				# Create a new Estimator object
s = e.estimate('english.txt')		# Estimate the scores for the corpus
e.table(s) 				# Print out a table

from elbbarcs import Estimator

e = Estimator(digraphs="ch c'h zh")	# Create a new Estimator object
s = e.estimate('brezhoneg.txt')		# Estimate the scores for the corpus
e.table(s) 				# Print out a table

The constructor takes the following arguments:

• digraphs: A string containing the space-separated digraphs in the language
• tiles: The number of tiles
• buckets: The number of buckets

Command line program

The library functionality is also exposed via the elbbarcs command-line utility.

$ elbbarcs brezhoneg.txt --digraph "ch zh c'h"
              ×1            ×2   ×3      ×4   ×5   ×6      ×7   ×12   ×14
0                      [blank]                                           
1                                              I    T   N O R     A     E
2                            G    S   D L U                              
3              H   B K M P V Z                                           
4   C'H W ZH Ñ Ù                                                         
5              F                                                         
6         C CH J                                                         
7              Y                                                         
9              É                            

This table indicates that for Breton, there should be 2 tiles for K, which will have a score of 3.

History

This library was developed by Daniel Swanson at the request of Francis Tyers for calculating the number of scrabble letters needed and their distribution for a given language. The objective was to make a scrabble set for San Mateo Huave from combinations of other scrabble sets.

In the end it required one set of each of English, Spanish and German to create the set for Huave.