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Eckhard Bick - VISL

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ambiguous words), moving them to "lower" ambiguity groups. At the same time, there<br />

was nearly no effect on the very highly ambiguous word forms.<br />

When judging the changes in the table below, one has to consider, however, that<br />

even the original percentages were arrived at by some degree of local disambiguation,<br />

in that my parsing program from the beginning has had successive level analysis for<br />

suffixes, so the changes involve only prefixed readings being rated against each other,<br />

and prefixed readings of low complexity substituting high complexity suffixation<br />

readings. The overall effect of local disambiguation may be even more visible when<br />

compared to an analysis technique with no "depth control" whatsoever.<br />

(1) Effects of local disambiguation by minimum derivation selection<br />

("Karlsson’s law"), data from the RNP literature corpus analysis<br />

number of<br />

readings<br />

number of word forms % of all word forms cumulative %<br />

without with local without with local without with local<br />

disambig.<br />

disambig.<br />

disambig.<br />

0 479 480 0.4 0.4 0.4 0.4<br />

1 62527 62847 47.4 47.6 47.7 48.0<br />

2 30860 34303 23.4 26.0 71.1 74.0<br />

3 15075 16159 11.4 12.2 82.5 86.2<br />

4 17126 12945 13.0 9.8 95.5 96.0<br />

5 4209 4564 3.2 2.7 98.7 98.7<br />

6 1437 1418 1.1 1.1 99.8 99.8<br />

7 159 159 0.1 0.1 99.9 99.9<br />

8 79 78 0.1 0.1 100.0 100.0<br />

9 1 1 - - - -<br />

10 15 15 - - - -<br />

11 15 14 - - - -<br />

total 131981 131981 100.0 100.0 100.0 100.0<br />

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