Author:
Tamás Biró ELTE Eötvös Loránd University, Budapest

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Most linguistic theories postulate structures with covert information, not directly recoverable from utterances. Hence, learners have to interpret their data before drawing conclusions. Within the framework of Optimality Theory (OT), Tesar & Smolensky (1998) proposed Robust Interpretive Parsing (RIP), suggesting the learners rely on their still imperfect grammars to interpret the learning data. I introduce an alternative, more cautious approach, Joint Robust Interpretive Parsing (JRIP). The learner entertains a population of several grammars, which join forces to interpret the learning data. A standard metrical phonology grammar is employed to demonstrates that JRIP performs significantly better than RIP.

  • Biró, Tamás. 2003. Quadratic alignment constraints and finite state Optimality Theory. In Proceedings of the Workshop on Finite-State Methods in Natural Language Processing (FSMNLP), held within EACL-03, Budapest. 119126. ROA-600.

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  • Biró, Tamás. 2006. Finding the right words: Implementing Optimality Theory with simulated annealing. Doctoral dissertation. University of Groningen. ROA-896.

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  • Biró, Tamás, 2010. OTKit: Tools for Optimality Theory. A software package. http://www.birot.hu/OTKit/

  • Biró, Tamás. 2013. Towards a robuster interpretive parsing: Learning from overt forms in Optimality Theory. Journal of Logic, Language and Information 22. 139172.

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  • Boersma, Paul. 1997. How we learn variation, optionality, and probability. Proceedings of the Institute of Phonetic Sciences, Amsterdam (IFA) 21. 4358.

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  • Boersma, Paul. 1998. Functional Phonology: Formalizing the interactions between articulatory and perceptual drives. Doctoral dissertation. University of Amsterdam. (Published by Holland Academic Graphics, The Hague.)

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  • Boersma, Paul. 2003. Review of B. Tesar & P. Smolensky (2000): Learnability in OT. Phonology 20. 436446.

  • Boersma, Paul. 2009. Some correct error-driven versions of the Constraint Demotion algorithm. Linguistic Inquiry 40. 667686.

  • Boersma, Paul and Bruce Hayes. 2001. Empirical tests of the Gradual Learning Algorithm. Linguistic Inquiry 32. 4586.

  • Boersma, Paul and Joe Pater, 2008. Convergence properties of a gradual learning algorithm for Harmonic Grammar. ROA-970.

  • Eisner, Jason. 1997. Efficient generation in Primitive Optimality Theory. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL-1997) and 8th EACL. Madrid, 313320. Also: ROA-206.

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  • Hayes, Bruce. 1995. Metrical stress theory. Principles and case studies. Chicago: The University of Chicago Press.

  • Jäger, Gerhard. 2003. Simulating language change with functional OT. In S. Kirby (ed.) Language evolution and computation. Proceedings of the Workshop at ESSLLI, Vienna. 5261.

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  • Jarosz, Gaja. 2013. Learning with hidden structure in Optimality Theory and Harmonic Grammar: Beyond Robust Interpretive Parsing. Phonology 30. 2771.

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  • Magri, Giorgio. 2011. An online model of the acquisition of phonotactics within Optimality Theory. In L. Carlson, C. Hölscher and T. F. Shipley (eds.) Expanding the space of cognitive science: Proceedings of the 33rd Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society, 20122017.

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  • Magri, Giorgio. 2012. Convergence of error-driven ranking algorithms. Phonology 29. 213269.

  • McCarthy, John J. 2003. OT constraints are categorical. Phonology 20. 75138.

  • Niyogi, Partha. 2006. The computational nature of language learning and evolution. Cambridge, MA: MIT Press.

  • Pater, Joe. 2008. Gradual learning and convergence. Linguistic Inquiry 39. 334345.

  • Prince, Alan and Paul Smolensky. 1993. Optimality theory: Constraint interaction in generative grammar. Technical Report TR-2, Center for Cognitive Science, Rutgers University, New Brunswick, N.J. and Technical Report CU-CS-697-93, Department of Computer Science, University of Colorado, Boulder.

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  • Pulleyblank, Douglas and William J. Turkel. 2000. Learning phonology: Genetic algorithms and Yoruba tongue-root harmony. In J. Dekkers, F. van der Leeuw and J. van De Weijer (eds.) Optimality Theory: Phonology, syntax, and acquisition. Oxford: Oxford University Press. 554591.

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  • Reeves, Colin R. (ed.). 1995. Modern heuristic techniques for combinatorial problems. London: McGraw-Hill.

  • Riggle, Jason. 2004. Contenders and learning. In B. Schmeiser, V. Chand, A. Kelleher and A. Rodriguez (eds.) Proceedings of the 23rd West Coast Conference on Formal Linguistics (WCCFL 23). Somerville, MA: Cascadilla Press.

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  • Riggle, Jason, 2009. Generating contenders. Technical report, ROA-1044.

  • Samek-Lodovici, Vieri and Alan Prince, 1999. Optima. ROA-363.

  • Tesar, Bruce and Paul Smolensky. 1998. Learnability in Optimality Theory. Linguistic Inquiry 29. 229268.

  • Tesar, Bruce and Paul Smolensky. 2000. Learnability in Optimality Theory. Cambridge, MA: MIT Press.

  • Turkel, Bill, 1994. The acquisition of Optimality Theoretic systems. ROA-11.

  • Yang, Charles D. 2002. Knowledge and learning in natural language. Oxford: Oxford University Press.

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Editors

Editor-in-Chief: András Cser

Editor: György Rákosi

Review Editor: Tamás Halm

Editorial Board

  • Anne Abeillé / Université Paris Diderot
  • Željko Bošković / University of Connecticut
  • Marcel den Dikken / Eötvös Loránd University; Hungarian Research Centre for Linguistics, Budapest
  • Hans-Martin Gärtner / Hungarian Research Centre for Linguistics, Budapest
  • Elly van Gelderen / Arizona State University
  • Anders Holmberg / Newcastle University
  • Katarzyna Jaszczolt / University of Cambridge
  • Dániel Z. Kádár / Hungarian Research Centre for Linguistics, Budapest
  • István Kenesei / University of Szeged; Hungarian Research Centre for Linguistics, Budapest
  • Anikó Lipták / Leiden University
  • Katalin Mády / Hungarian Research Centre for Linguistics, Budapest
  • Gereon Müller / Leipzig University
  • Csaba Pléh / Hungarian Academy of Sciences, Central European University
  • Giampaolo Salvi / Eötvös Loránd University
  • Irina Sekerina / College of Staten Island CUNY
  • Péter Siptár / Hungarian Research Centre for Linguistics, Budapest
  • Gregory Stump / University of Kentucky
  • Peter Svenonius / University of Tromsø
  • Anne Tamm / Károli Gáspár University of the Reformed Church
  • Akira Watanabe / University of Tokyo
  • Jeroen van de Weijer / Shenzhen University

 

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2022  
Web of Science  
Total Cites
WoS
56
Journal Impact Factor 0.5
Rank by Impact Factor

Linguistics (Q4)

Impact Factor
without
Journal Self Cites
0.4
5 Year
Impact Factor
0.5
Journal Citation Indicator 0.59
Rank by Journal Citation Indicator

Language and Linguistics (Q2)
Linguistics (Q3)

Scimago  
Scimago
H-index
13
Scimago
Journal Rank
0.592
Scimago Quartile Score

Cultural Studies (Q1)
Linguistics and Language (Q1)
Literature and Literary Theory (Q1)

Scopus  
Scopus
Cite Score
1.4
Scopus
CIte Score Rank
Literature and Literary Theory 24/982 (97th PCTL)
Cultural Studies 212/1203 (82nd PCTL)
Scopus
SNIP
1.159

2021  
Web of Science  
Total Cites
WoS
63
Journal Impact Factor 0,690
Rank by Impact Factor

Linguistics 145/194

Impact Factor
without
Journal Self Cites
0,667
5 Year
Impact Factor
1,286
Journal Citation Indicator 0,67
Rank by Journal Citation Indicator

Language & Linguistics 141/370

Scimago  
Scimago
H-index
11
Scimago
Journal Rank
0,341
Scimago Quartile Score Cultural Studies (Q1)
Linguistics and Language (Q1)
Literature and Literary Theory (Q1)
Scopus  
Scopus
Cite Score
1,4
Scopus
CIte Score Rank
Literature and Literary Theory 22/934 (D1)
Cultural Studies 164/1127 (Q1)
Scopus
SNIP
1,070

2020

 

Total Cites

219

WoS

Journal
Impact Factor

0,523

Rank by

Linguistics 150/193 (Q4)

Impact Factor

 

Impact Factor

0,432

without

Journal Self Cites

5 Year

0,500

Impact Factor

Journal 

0,72

Citation Indicator

 

Rank by Journal 

Linguistics 144/259 (Q3)

Citation Indicator 

 

Citable

19

Items

Total

19

Articles

Total

0

Reviews

Scimago

10

H-index

Scimago

0,295

Journal Rank

Scimago

Cultural Studies Q1

Quartile Score

Language and Linguistics Q2

 

Linguistics and Language Q2

 

Literature and Literary Theory Q1

Scopus

72/87=0,8

Scite Score

Scopus

Literature and Literary Theory 42/825 (Q1)

Scite Score Rank

Cultural Studies 247/1037 (Q1)

Scopus

1,022

SNIP

Days from 

58

submission

to acceptance

Days from 

68

acceptance

to publication

Acceptance

51%

Rate

2019  
Total Cites
WoS
155
Impact Factor 0,222
Impact Factor
without
Journal Self Cites
0,156
5 Year
Impact Factor
0,322
Immediacy
Index
0,870
Citable
Items
23
Total
Articles
23
Total
Reviews
0
Cited
Half-Life
11,2
Citing
Half-Life
16,6
Eigenfactor
Score
0,00006
Article Influence
Score
0,056
% Articles
in
Citable Items
100,00
Normalized
Eigenfactor
0,00780
Average
IF
Percentile
9,358
Scimago
H-index
9
Scimago
Journal Rank
0,281
Scopus
Scite Score
53/85=0,6
Scopus
Scite Score Rank
Cultural Studies 293/1002 (Q2)
Literature and Literary Theory 60/823(Q1)
Scopus
SNIP
0,768
Acceptance
Rate
25%

 

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Acta Linguistica Academica
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