Test diary
Test results for the morphology and lexicon files
This document documents the testing of the parser and disambiguator. Background info and test plan is found in the test plan document.What is found here is an overview of what has been tested, both vocabulary testing, testing of the disambiguator, and testing of the morphological analysis.
Test results for morphology and lexicon
Vocabualry testing
The following table records recall for word forms in various texts. Here we measure coverage of the vocabulary, by recording all word forms that are not recognised.
--------------------------------------------------- wikipedia.txt (Single Wikipedia article) Test Wftot Wf-tkn %-recall Tytot Wf-typ %-recall 090824 82 52 63.4 % 61 32 52.4 % 110101 82 63 76.8 % 61 42 68.9 % tsypanov.txt Test Wftot Wf-tkn %-recall Tytot Wf-typ %-recall 090824 2950 1577 53.4% 850 184 21.6% 090824 2950 2221 75.3% 850 276 32.5% Deleted %^Inf in xfst file kv.wikipedia.org dump (including much Russian text, and text by non-natives) Test Wftot Wf-tkn %-recall Tytot Wf-typ %-recall 090824 135743 68696 50.6% 21640 5306 24.5% 090825 135805 69575 51.2% 19980 5317 26.3% After better formatting 090827 135805 71299 52.5% 19980 5364 26.8% After palatal mark reordering ----------------------------------------------------
Explaining the table
Lower token than type percentage indicates that the parser misses common words more often than seldom ones.
Lower type than token percentage (which is the case) indicates that the parser is good at the core vocabulary, but has
Each text is given a separate section in the table, ordered chronologically, with the oldest test case (Test 1) at the bottom. The first line of each section gives the name of the file (note: the files of the test cases 2 and 3 are so changed that these two test cases are closed). Each line represents a test run. The first colum gives the test date (in the format ddmmyy), the second (WFtot) the total number of words in the file question, the third (Wf-tkn) the number of recognised word form tokens, and the percentage compared to the total. The next columns does the same for wordform types (cf. below for the commands used to calculate the numbers).
------------------------------------------------------------------------- Wftot: cat filename | preprocess | wc -l Non_recognised_wf: cat filename | preprocess | lookup -flags mbTT -utf8 bin/kom.fst \ | grep '\?' | grep -v CLB | wc -l Wf-tkn = Wftot - Non_recognised_wf %-recall = Wf-tkn * 100 / Wftot ------------------------------------------------------------------------- Tytot (Total number of wordform types): cat filename | preprocess | sort | uniq | wc -l Non_recognised_wt (Number of non-analysed wordform types: cat filename | preprocess | sort | uniq | lookup -flags mbTT -utf8 bin/kom.fst | grep '\?' | grep -v CLB | wc -l Wf-typ (Number of recognised wordform types) Wf-typ = Tytot - Non_recognised_wt %-recall = Wf-typ * 100 / Tytot -------------------------------------------------------------------------
Last modified $Date: 2008-11-05 18:52:54 +0100 (ons, 05 nov 2008) $, by $Author: boerre $