Carnegie Mellon University
Browse

Unsupervised Induction of Natural Language Morphology Inflection Classes

Download (99.64 kB)
journal contribution
posted on 2009-12-01, 00:00 authored by Christian Monson, Alon LavieAlon Lavie, Jaime G. Carbonell, Lorraine LevinLorraine Levin
We propose a novel language-independent framework for inducing a collection of morphological inflection classes from a monolingual corpus of full form words. Our approach involves two main stages. In the first stage, we generate a large data structure of candidate inflection classes and their interrelationships. In the second stage, search and filtering techniques are applied to this data structure, to identify a select collection of "true" inflection classes of the language. We describe the basic methodology involved in both stages of our approach and present an evaluation of our baseline techniques applied to induction of major inflection classes of Spanish. The preliminary results on an initial training corpus already surpass an F1 of 0.5 against ideal Spanish inflectional morphology classes.

History

Publisher Statement

All Rights Reserved

Date

2009-12-01

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC