scholarly journals Effects of adult aging on letter position coding in reading: Evidence from eye movements.

2019 ◽  
Vol 34 (4) ◽  
pp. 598-612 ◽  
Author(s):  
Kayleigh L. Warrington ◽  
Victoria A. McGowan ◽  
Kevin B. Paterson ◽  
Sarah J. White
Keyword(s):  
Eye Movements ◽  
Letter Position ◽  
Letter Position Coding ◽  
Position Coding ◽  
Adult Aging

EXPRESS: The letter position coding mechanism of second language words during sentence reading: Evidence from eye movements

2021 ◽  
pp. 174702182110645
Author(s):  
Fengjiao Cong ◽  
Baoguo Chen
Keyword(s):  
Second Language ◽  
Word Recognition ◽  
Eye Movement ◽  
Movement Control ◽  
Letter Position ◽  
L2 Reading ◽  
Position Information ◽  
Sentence Reading ◽  
Letter Position Coding ◽  
Position Coding

We conducted three eye movement experiments to investigate the mechanism for coding letter positions in a person’s second language during sentence reading; we also examined the role of morphology in this process with more rigorous manipulation. Given that readers not only obtain information from currently fixated words (i.e., the foveal area) but also from upcoming words (i.e., the parafoveal area) to guide their reading, we examined both when the targets were fixated (Exp. 1) and when the targets were seen parafoveally (Exp. 2 and Exp. 3). First, we found the classic transposed letter (TL) effect in Exp. 1, but not in Exp. 2 or Exp. 3. This implies that flexible letter position coding exists during sentence reading. However, this was limited to words located in the foveal area, suggesting that L2 readers whose L2 proficiency is not as high as skilled native readers are not able to extract and utilize the parafoveal letter identity and position information of a word, whether the word length is long (Exp. 2) or short (Exp. 3). Second, we found morphological information to influence the magnitude of the TL effect in Exp. 1. These results provide new eye movement evidence for the flexibility of L2 letter position coding during sentence reading, as well as the interactions between the different internal representations of words in this process. Altogether, this is helpful for understanding L2 sentence reading and visual word recognition. Thus, future L2 reading frameworks should integrate word recognition and eye movement control models.

scholarly journals Parafoveal letter-position coding in reading

2018 ◽  
Vol 46 (4) ◽  
pp. 589-599 ◽  
Author(s):  
Joshua Snell ◽  
Daisy Bertrand ◽  
Jonathan Grainger
Keyword(s):  
Letter Position ◽  
Letter Position Coding ◽  
Position Coding

How is letter position coding attained in scripts with position-dependent allography?

2014 ◽  
Vol 21 (6) ◽  
pp. 1600-1606 ◽  
Author(s):  
Mahire Yakup ◽  
Wayit Abliz ◽  
Joan Sereno ◽  
Manuel Perea
Keyword(s):  
Letter Position ◽  
Letter Position Coding ◽  
Position Coding

Graded Effects of Number of Inserted Letters in Superset Priming

2008 ◽  
Vol 55 (1) ◽  
pp. 54-63 ◽  
Author(s):  
Marijke Welvaert ◽  
Fernand Farioli ◽  
Jonathan Grainger
Keyword(s):  
Target Word ◽  
Word Length ◽  
Meta Analysis ◽  
Letter Position ◽  
Masked Priming ◽  
Processing Cost ◽  
Letter Position Coding ◽  
Position Coding ◽  
Prime Condition

Abstract. Three masked priming experiments investigated the effects of target word length and number of inserted letters on superset priming, where irrelevant letters are added to targets to form prime stimuli (e.g., tanble-table). Effects of one, two, three, and four-letter insertions were measured relative to an unrelated prime condition, the identity prime condition, and a condition where the order of letters of the superset primes was reversed. Superset primes facilitated performance compared with unrelated primes and reversed primes, and the overall pattern showed a small cost of letter insertion that was independent of target word length and that increased linearly as a function of the number of inserted letters. A meta-analysis incorporating data from the present study and two other studies investigating superset priming, showed an average estimated processing cost of 11 ms per letter insertion. Models of letter position coding are examined in the light of this result.

scholarly journals Letter-position coding in random consonant arrays

1995 ◽  
Vol 57 (6) ◽  
pp. 875-890 ◽  
Author(s):  
Francesca Peressotti ◽  
Jonathan Grainger
Keyword(s):  
Letter Position ◽  
Letter Position Coding ◽  
Position Coding
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