String Transduction with Target Language Models and Insertion Handling
Table 3: Word-level accuracy (in %) on inflection generation with 100 training instances.
['System', 'Average']
The Appendix contains the detailed results for individual languages. DTLM outperforms CLUZH on 46 of the 52 languages. Even for languages with large morphological inventories, such as Basque and Polish, with the sparse corpora that such inventories supply, we see notable gains over DTL. We also see large gains for languages such as Northern Sami and Navajo that have relatively small Wikipedias (fewer than 10,000 articles).