Paper: Knowledge-Free Induction Of Morphology Using Latent Semantic Analysis

ACL ID W00-0712
Title Knowledge-Free Induction Of Morphology Using Latent Semantic Analysis
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2000
Authors

Morphology induction is a subproblem of important tasks like automatic learning of machine-readable dictionaries and grammar in- duction. Previous morphology induction ap- proaches have relied solely on statistics of hy- pothesized stems and affixes to choose which affixes to consider legitimate. Relying on stem- and-affix statistics rather than semantic knowl- edge leads to a number of problems, such as the inappropriate use of valid affixes ("ally" stem- ming to "all"). We introduce a semantic-based algorithm for learning morphology which only proposes affixes when the stem and stem-plus- affix are sufficiently similar semantically. We implement our approach using Latent Seman- tic Analysis and show that our semantics-only approach provides morphology induction results that rival a curre...