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.

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Don jih daan bijre
Test    Wftot Wf-tkn %-recall   Tytot  Wf-typ  %-recall
090902  80546  68386   84.9 %   11430    6328   55.4 %

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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).

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Wftot:
cat filename | preprocess | wc -l

Non_recognised_wf:
cat filename | preprocess | lookup -flags mbTT -utf8 bin/sma.fst
 | grep '\?' | grep -v CLB | wc -l

Wf-tkn = Wftot - Non_recognised_wf

%-recall = Wf-tkn * 100 / Wftot
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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/sma.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
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