Speakers optimize information density through syntactic reduction

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 849-856

  Levy, Roger ^a   Jaeger, T Florian ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL VARIABLE; INFORMATION DENSITY;

INFORMATION THEORY; OPTIMIZATION; REGRESSION ANALYSIS;

SYNTACTICS;

EID: 56549096917     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Arnold, J. E., Wasow, T., Asudeh, A., and Alrenga, P. (2004). Avoiding attachment ambiguities: The role of constituent ordering. Journal of Memory and Language, 51:55-70.
2. Aylett, M. (2000). Stochastic Suprasegmentals: Relationships between Redundancy, Prosodic Structure and Care of Articulation in Spontaneous Speech. PhD thesis, University of Edinburgh.
3. Aylett, M. and Turk, A. (2004). The Smooth Signal Redundancy Hypothesis: A functional explanation for relationships between redundancy, prosodic prominence, and duration in spontaneous speech. Language and Speech, 47(1):31-56.
4. Bell, A., Jurafsky, D., Fosler-Lussier, E., Girand, C., Gregory,M., and Gildea, D. (2003). Effects of disfluencies, predictability, and utterance position on word form variation in English conversation. Journal of the Acoustical Society of America, 113(2):1001-1024.
5. Berger, A. L., Pietra, S. A. D., and Pietra, V. J. D. (1996). A Maximum Entropy approach to natural language processing. Computational Linguistics, 22(1):39-71.
6. Collins, M. (2003). Head-driven statistical models for natural language parsing. Computational Linguistics, 29:589-637.
7. Della Pietra, S., Della Pietra, V., and Lafferty, J. (1997). Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4):380-393.
8. Genzel, D. and Charniak, E. (2002). Entropy rate constancy in text. In Proceedings of ACL.
9. Hale, J. (2001). A probabilistic Earley parser as a psycholinguistic model. In Proceedings of NAACL, volume 2, pages 159-166.
10. Jaeger, T. F. (2005). Optional that indicates production difficulty: evidence from disfluencies. In Proceedings of Disfluency in Spontaneous Speech Workshop.
11. Jaeger, T. F. (2006). Redundancy and Syntactic Reduction in Spontaneous Speech. PhD thesis, Stanford University, Stanford, CA.
12. Keller, F. (2004). The entropy rate principle as a predictor of processing effort: An evaluation against eyetracking data. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 317-324, Barcelona.
13. Levy, R. (2005). Probabilistic Models of Word Order and Syntactic Discontinuity. PhD thesis, Stanford University.
14. Levy, R. (2006). Expectation-based syntactic comprehension. Ms., University of Edinburgh.
15. Roark, B. (2001). Probabilistic top-down parsing and language modeling. Computational Linguistics, 27(2):249-276.
16. Roland, D., Elman, J. L., and Ferreira, V. S. (2006). Why is that? Structural prediction and ambiguity resolution in a very large corpus of English sentences. Cognition, 98:245-272.
17. Wasow, T., Jaeger, T. F., and Orr, D. (in press). Lexical variation in relativizer frequency. In Wiese, H. and Simon, H., editors, Proceedings of the Workshop on Expecting the unexpected: Exceptions in Grammar at the 27th Annual Meeting of the German Linguistic Association, University of Cologne, Germany. DGfS.