dlexDB - A lexical database for the psychological and linguistic research;dlexDB - Eine lexikalische datenbank für die psychologische und linguistische forschung

Psychologische Rundschau

Volumn 62, Issue 1, 2011, Pages 10-20

  Heister, Julian ^a   Würzner, Kay Michael ^a   Bubenzer, Johannes ^a   Pohl, Edmund ^a   Hanneforth, Thomas ^a   Geyken, Alexander ^a   Kliegl, Reinhold ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

CELEX; Corpus linguistics; dlex; dlexDB; Eve movement; Lexical database; Parafovea; Reading

Indexed keywords

EID: 79251510259     PISSN: 00333042     EISSN: None     Source Type: Journal    
DOI: 10.1026/0033-3042/a000029     Document Type: Article

References (61)

1. Adelman, J. S., Brown, G. D. & Quesada, J. F. (2006). Contextual diversity not word frequency determines word naming and lexical decision times. Psychological Science, 17(9), 814-823.
2. Baayen, R. H., Piepenbrock, R. & Gulikers, L. (1995). The CELEX Lexical Database (Release 2) [CD-ROM]. Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, 1995.
3. Balota, D. A., Cortese, M. J., Sergent-Marshall, S., Spieler, D. H. & Yap, M. J. (2004). Visual word recognition of singlesyllable words, Journal of Experimental Psychology: General, 133(2), 283-316.
4. Balota, D. A., Pollatsek, A. & Rayner, K. (1985). The interaction of contextual constraints and parafoveal visual information in reading. Cognitive Psychology, 17, 364-390.
5. Balota, D. A., Yap, M. J., Cortese, M. J., Hutchison, K. A., Kessler, B., Loftis, B., Neely, J. H., Nelson, D. L., Simpson, G. B. & Treiman, R. (2007). The English Lexicon Project. Behavior Research Methods, 39, 445-459.
6. Bates, D. & Maechler, M. (2009). lme4: Linear mixed-effects models using S4 classes. R package version 0.999375-31. URL http://cran.r-project.org/ package=lme4
7. Beauvillain, C. (1996). The integration of morphological and whole-word form information during eye fixations on prefixed and suffixed words. Journal of Memory and Language, 35(6), 801-820.
8. Blair I. V., Urland, G. R. & Ma, J. E. (2002). Using internet search engines to estimate word frequency. Behavior Research Methods, Instruments, and Computers, 34(2), 286-289.
9. Bouma, G. (2003). Finite state methods for hyphenation. Natural Language Engineering, 9(1), 5-20.
10. Brants, S., Dipper, S. Eisenberg, P., Hansen-Schirra, S., König, E., Lezius, W., Rohrer, C., Smith, G. & Uszkoreit, H. (2004). TIGER: Linguistic interpretation of a German corpus. Research on Interpretation of German Language and Computation, 2(4), 597-620.
11. British National Corpus (2007). Distributed by Oxford University Computing Services on behalf of the BNC Consortium. Version 3 (BNC XML Edition). http://www.natcorp. ox.ac.uk
12. Brysbaert, M. & New, B. (2009). Moving beyond Kucera and Francis: A critical evaluation of current word frequency norms and the introduction of a new and improved word frequency measure for American English. Behavior Research Methods, Instruments and Computers, 41, 977-990.
13. Burgess, C. & Livesay, K. (1998). The effect of corpus size in predicting reaction time in a basic word recognition task: Moving on from Kucera and Francis. Behavior Research Methods, Instruments and Computers, 30, 272-277.
14. Bussmann, H. (1983). Lexikon der Sprachwissenschaft. Stuttgart: Kröner.
15. Baayen, H. R., Piepenbrock, R. & Gulikers, L. (1995). The CELEX Lexical Database (CD-ROM). Linguistic Data Consortium. University of Pennsylvania. P. A. Philadelphia.
16. Coltheart, M., Davelaar, E. J., Jonasson, J. T. & Besner, D. (1977). Access to the internal lexicon. In S. Dornic (Ed.), Attention and Performance (Vol. 6, pp. 535-555). Hillsdale: Lawrence Erlbaum Associates.
17. Engbert, R., Nuthmann, A., Richter, E. & Kliegl, R. (2005). SWIFT: A dynamical model of saccade generation during reading. Psychological Review, 112, 777-813.
18. Fallows, D. (1981). Experimental evidence for English syllabification and syllable structure. Journal of Linguistics, 17, 309-317.
19. Geyken, A. (2007). The DWDS Corpus: A reference corpus for the German language of the 20th century. In C. Fellbaum (Ed.), Collocations and Idioms: Linguistic, Lexicographic, and Computational Aspects. London: Continuum Press.
20. Geyken, A. und Hanneforth, T. (2006). TAGH: A complete morphology for German based on weighted finite state automata. In Finite State Methods and Natural Language Processing (Lecture Notes in Computer Science, Vol. 4002, pp. 55-66). Berlin: Springer.
21. Griffiths, T. L., Steyvers, M. & Firl, A. (2007). Google and the mind. Psychological Science, 18, 1069-1076.
22. Henderson, J. M. & Ferreira, F. (1990). Effects of foveal processing difficulty on the perceptual span in reading: Implications for attention and eye movement control. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 417-429.
23. Heister, J., Würzner, K. M. & Kliegl, R. (2010). Differential effects of sublexical frequency measures and token frequency in reading. (Manuskript in Vorbereitung)
24. Hinrichs, E., Bartels, J., Kawata, Y., Kordoni, V. & Telljohann, H. (2000). The Tübingen treebanks for spoken German, English, and Japanese. In W. Wahlster (Ed.), Verbmobil: Foundations of Speech-to-Speech Translation. Berlin: Springer.
25. Hyönä, J. (1995). Do irregular letter combinations attract readers' attention? Evidence from fixation locations in words. Journal of Experimental Psychology: Human Perception and Performance, 21, 68-81.
26. Hyönä, J. & Bertram, R. (2004). Do frequency characteristics of non-fixated words influence the processing of non-fixated words during reading? European Journal of Cognitive Psychology, 16, 104-127.
27. Inhoff, A. W. (1989). Parafoveal processing of words and saccade computation during eye fixations in reading. Journal of Experimental Psychology: Human Perception & Performance, 15, 544-555.
28. Inhoff, A. W., Radach, R., Starr, M. & Greenberg, S. (2000). Allocation of visuo-spatial attention and saccade programming during reading. In A. Kennedy, R. Radach, D. Heller & J. Pynte (Eds.), Reading as a perceptual process (pp. 221-246). Amsterdam: Elsevier.
29. Inhoff, A. & Rayner, K. (1986). Parafoveal word processing during eye fixations in reading: Effects of word frequency. Perception & Psychophysics, 40(6) 431-439.
30. Jurish, B. (2003). Part-of-Speech tagging with finite state morphology. Poster präsentiert auf der Konferenz Collocations and Idioms: Linguistic, Computational, and Psycholinguistic Perspectives, Berlin.
31. Kennedy, A. (2000). Parafoveal processing in word recognition. The Quarterly Journal of Experimental Psychology, 53 (A), 429-455.
32. Kennedy, A. & Pynte, J. (2005). Parafoveal-on-foveal effects in normal reading. Vision Research, 45, 153-168.
33. Kennedy, A., Pynte, J. & Ducrot, S. (2002). Parafoveal-on-foveal interactions in word recognition. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 55 (A), 1307-1337.
34. Kliegl, R. (2007). Towards a perceptual-span theory of distributed processing in reading: A reply to Rayner, Pollatsek, Drieghe, Slattery und Reichle (2007). Journal of Experimental Psychology: General, 138, 530-537.
35. Kliegl, R., Grabner, E., Rolfs, M. & Engbert, R. (2004). Length, frequency, and predictability effects of words on eye movements in reading. European Journal of Cognitive Psychology, 16, 262-284.
36. Kliegl, R. & Engbert, R. (2005). Fixation durations before word skipping in reading. Psychonomic Bulletin & Review, 12, 132-138.
37. Kliegl, R., Nuthmann, A. & Engbert, R. (2006). Tracking the mind during reading: The influence of past, present, and future words on fixation durations. Journal of Experimental Psychology: General, 135, 12-35.
38. Kliegl, R., Risse, S. & Laubrock, J. (2007). Preview benefit and parafoveal-on-foveal effects from word n+2. Journal of Experimental Psychology: Human Perception and Performance, 33, 1250-1255.
39. Kucera, H. & Francis, W. N. (1967). Computational analysis of presentday American English. Providence, RI: Brown University Press.
40. Lima, S. D. & Inhoff, A. W. (1985). Lexical access during eye fixations in reading: Effects of word initial letter sequence. Journal of Experimental Psychology: Human Perception and Performance, 11, 272-285.
41. Lüdeling, A., Evert, S. & Baroni, M. (2007). Using web data for linguistic purposes. In M. Hundt, N. Nesselhauf & C. Biewer (Eds.), Corpus Linguistics and the Web, of Language and Computers (Studies in Practical Linguistics, Vol. 59, pp. 7-24). Amsterdam: Rodopi.
42. McConkie, G. W. & Rayner, K. (1975). The span of the effective stimulus in during a fixation in reading. Perception & Psychophysics, 17, 578-586.
43. Murray, W. S. & Forster, K. I. (2004). Serial mechanisms in lexical access: The rank hypothesis. Psychological Review, 111, 721-756.
44. Novick, L. R. & Sherman, S. J. (2004). Type-based bigram frequencies for five-letter words. Behavior Research Methods, Instruments, and Computers, 36(3), 397-401.
45. Pynte, J., Kennedy, A. & Ducrot, S. (2004). The influence of parafoveal typographical errors on eye movements in reading. European Journal of Cognitive Psychology, 16, 178-202.
46. R Development Core Team (2009). R: A language and environment for statistical computing. (version 2.9.0). [Software]. Vienna, Austria: R Foundation for Statistical Computing. http://www.r-project.org.
47. Rabiner, L. R. (1989). A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, 77(2), 257-286.
48. Rayner, K. (1975). Eye movements and the perceptual span in reading. Cognitive Psychology, 7, 65-81.
49. Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124, 372-422.
50. Rayner, K. & Duffy, S. A. (1986). Lexical complexity and fixation times in reading: Effects of word frequency, verb complexity, and lexical ambiguity. Memory and Cognition, 14(3), 191-201.
51. Rayner, K., McConkie, G. W. & Zola, D. (1980). Integrating information across eye movements. Cognitive Psychology, 12(2), 206-26.
52. Rayner, K., Pollatsek, A., Drieghe, D., Slattery, T. & Reichle, E. D. (2007) Tracking the mind during reading via eye movements: Comments on Kliegl, Nuthmann and Engbert (2006). Journal of Experimental Psychology, General, 136(3), 520-529.
53. Rayner, K., White, S. J., Kambe, G., Miller, B. & Liversedge, S. P. (2003). On the processing of meaning from parafoveal vision during eye fixations in reading. In J. Hyönä, R. Radach & H. Deubel (Eds.), The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research (pp. 213-234). Amsterdam: Elsevier.
54. Rayner, K., Well A. D., Pollatsek A. & Bertera, J. H. (1982). The availability of useful information to the right of fixation in reading. Perception & Psychophysics, 31(6), 537-50.
55. Schiller A., Teufel, S., Thielen, C. & Stöckert, C. (1999). Guidelines für das Taggen deutscher Textkorpora mit STTS. Technical Report, IMS-CL, University Stuttgart. http://www.ims.uni-stuttgart.de/projekte/corplex/ TagSets/stts-table. html
56. Schroyens, W., Vitu, F., Brysbaert, M. & d'Ydewalle, G. (1999). Eye movement control during reading: foveal load and parafoveal processing. Quarterly Journal Experimental Psychology A., 52(4), 1021-46.
57. Skut, W., Krenn, B., Brants, T. & Uszkoreit, H. (1997). An annotation scheme for free word order languages. In Proceedings of ANLP-97. Washington, DC.
58. Starr, M. & Rayner, K. (2001). Eye movements during reading: some current controversies. Trends in Cognitive Science, 30, 147-157.
59. Wickham, H. (2009). ggplot2: elegant graphics for data analysis. [Software] R package version 0.8.1. http://had.co.nz/ggplot2/
60. White, S. J. & Liversedge, S. P. (2004). Orthographic familiarity influences initial eye fixation positions in reading. European Journal of Cognitive Psychology, 16, 52-78.
61. Yarkoni, T., Balota, D. A. & Yap, M. J. (2008). Beyond Coltheart's N: A new measure of orthographic similarity. Psychonomic Bulletin & Review, 15, 971-97.