Building Morphological Chains for Agglutinative Languages
Table 2: Comparison of MorphoChains-R (with recursive candidate generation) with MorphoChains-O (the original MorphoChains system), Lee Segmenter, and other Morfessor members for Turkish, English and German
['[BOLD] Language', '[BOLD] Method', '[BOLD] Precision', '[BOLD] Recall', '[BOLD] F-1']
We compare the recursive MorphoChains system with the original MorphoChains system and Morfessor Baseline on also German. Morfessor Baseline outperforms two other models with a F-measure of 54%. The German results are better in the original model with a F-measure of 38%, whereas the recursive model gives 25%. This is possibly because of the morphological structure of the German language. German is not an agglutinative language and the left-recursion applied in the candidate generation will generate more erroneous candidate suffixes. This is also because of the common compounds in German language.