Inflectional learning as local optimization

Inflectional learning as local optimization Formal descriptions of inflectional systems face three interrelated problems: (1) the Meaning Assignment Problem: Which morphosyntactic feature specification should be assigned to a given affix? (2) the Imperfect Distribution Problem: To what degree can the paradigmatic distribution of an affix deviate from its morphosyntactic specification? and (3) the Subsegmentation Problem: Does a given string of segments consist of one or more affixes? What makes the analysis of complex inflectional systems potentially intractable is the accumulative effect of all three problems, which results in an unwieldy amount of analytic options. Existing approaches to these problems are either incompatible with standard analyses in theoretical morphology (e.g. Harris 1955; Goldsmith 2010) or address only a subset of these problems (e.g. Pertsova 2011). In this paper, we propose a unified approach to all three problems by outlining a learning algorithm that uses optimal patterns of paradigmatic distribution of potential affixes as the main criterion for computing morpheme meaning and subsegmentation of affix strings. The central idea is that learners apply local optimization in the sense of the Harmonic Serialism version of Optimality Theory (McCarthy 2010): Every optimization step identifies the affix with the optimal distribution in a paradigm, assigning a morpheme entry to it, and ‘freezes’ the substrings corresponding to the newly learned affix in the paradigm for further learning. Different constraint rankings result naturally in affix lexica optimized for specific theoretical approaches to morphology. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Morphology Springer Journals

Inflectional learning as local optimization

Loading next page...
 
/lp/springer_journal/inflectional-learning-as-local-optimization-PyWDZchgRx
Publisher
Springer Netherlands
Copyright
Copyright © 2017 by Springer Science+Business Media B.V.
Subject
Linguistics; Linguistics, general; Comparative Linguistics; Phonology; Sign Language
ISSN
1871-5621
eISSN
1871-5656
D.O.I.
10.1007/s11525-017-9304-0
Publisher site
See Article on Publisher Site

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

Monthly Plan

  • Read unlimited articles
  • Personalized recommendations
  • No expiration
  • Print 20 pages per month
  • 20% off on PDF purchases
  • Organize your research
  • Get updates on your journals and topic searches

$49/month

Start Free Trial

14-day Free Trial

Best Deal — 39% off

Annual Plan

  • All the features of the Professional Plan, but for 39% off!
  • Billed annually
  • No expiration
  • For the normal price of 10 articles elsewhere, you get one full year of unlimited access to articles.

$588

$360/year

billed annually
Start Free Trial

14-day Free Trial