| Literature DB >> 27148099 |
Xiao He1, Elsi Kaiser2.
Abstract
We present three self-paced reading experiments that investigate the reflexive ziji "self" in Chinese-in particular, we tested whether and how person-feature-based blocking guides comprehenders' real-time processing and final interpretation of ziji. Prior work claims that in Chinese sentences like "John thought that {I/you/Bill} did not like ZIJI," (i) the reflexive ziji can refer to the matrix subject John if the intervening subject is also a third person entity (e.g., Bill), but that (ii) an intervening first or second person pronoun blocks reference to the matrix subject, causing ziji to refer to the first or second person pronoun. However, native speakers' judgments regarding the accessibility of long-distance antecedents are rather unstable, and researchers also disagree on what the exact configurations are that allow blocking. In addition, many open questions persist regarding the real-time processing of reflexives more generally, in particular regarding the accessibility (or lack thereof) of structurally unlicensed antecedents. We conducted three self-paced reading studies where we recorded people's word-by-word reading times and also asked questions that probed their off-line interpretation of the reflexive ziji. People's answers to the off-line questions show that blocking is not absolute: Comprehenders do allow significant numbers of non-local choices in both the first and the second person blocking conditions, albeit in small numbers. At the same time, the reading time data, particularly those from Experiments 2 and 3, show that comprehenders use person feature cues to quickly filter out inaccessible long-distance referents. The difference between on-line and off-line patterns points to the possibility that the interpretation of ziji unfolds over time: it seems that initially, during real-time processing, person-feature cues weigh more heavily and constrain what antecedent candidates get considered, but that at some later point, other kinds of information are also integrated and perhaps outweigh the person-feature constraint, resulting in consideration of referents that were initially "blocked" due to the person-feature constraint. In sum, in addition to the structural constraints identified in prior work, person-featural cues also play a key role in regulating the on-line processing of reflexives in Chinese.Entities:
Keywords: Chinese; binding theory; blocking effects; reflexive pronouns; self-paced reading; sentence processing
Year: 2016 PMID: 27148099 PMCID: PMC4830837 DOI: 10.3389/fpsyg.2016.00284
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1Experiment 1 antecedent choice data.
Experiment 1: Comparing the numbers of non-local antecedent choices in the 1st-3rd, the 3rd-1st, and the 3rd-3rd Conditions (“.
| 3rd-1st vs. 1st-3rd | 3.2087 | 2.732 | <0.01* |
| 3rd-3rd vs. 1st-3rd | 3.1997 | 3.160 | <0.005* |
| 3rd-1st vs. 3rd-3rd | 0.0090 | 0.016 | 1.0000 |
Figure 2Average reading times per word in Experiment 1.
Experiment 1: Reading time results (“.
| 1 | I/Zhangsan | 14.88 | 1 | <0.001* | 0.010 | 1 | 0.91 | 0.138 | 1 | 0.71 |
| 2 | Told | 86.53 | 1 | <0.001* | 0.000 | 1 | 1.00 | 0.366 | 1 | 0.55 |
| 3 | Others | 31.29 | 1 | <0.001* | 0.028 | 1 | 0.87 | 0.272 | 1 | 0.60 |
| 4 | I/Lisi | 36.34 | 1 | <0.001* | 18.40 | 1 | <0.001* | 1.928 | 1 | 0.17 |
| 5 | thought | 6.84 | 1 | <0.010* | 43.16 | 1 | <0.001* | 0.004 | 1 | 0.95 |
| 6 | 0.56 | 1 | 0.450 | 1.571 | 1 | 0.210 | 7.379 | 1 | <0.01* | |
| 7 | next year | 6.37 | 1 | <0.050* | 3.178 | 1 | 0.075· | 6.416 | 1 | <0.05* |
| 8 | Could | 0.053 | 1 | 0.820 | 0.014 | 1 | 0.906 | 2.836 | 1 | 0.09· |
| 9 | get in | 0.065 | 1 | 0.799 | 1.152 | 1 | 0.283 | 7.656 | 1 | <0.01* |
| 10 | Good | 0.801 | 1 | 0.371 | 0.625 | 1 | 0.803 | 7.282 | 1 | <0.01* |
Experiment 1: Planned comparisons (“.
| 6 | ZIJI | 1st-3rd vs. 1st-1st | 0.1067 | 0.0381 | 2.804 | 0.0142* |
| 3rd-1st vs. 1st-1st | 0.0936 | 0.0382 | 2.451 | 0.0384* | ||
| 7 | Next year | 1st-3rd vs. 1st-1st | 0.1305 | 0.0428 | 3.052 | 0.0064* |
| 3rd-1st vs. 1st-1st | 0.1535 | 0.4293 | 3.576 | 0.0011* | ||
| 3rd-3rd vs. 1st-1st | 0.1308 | 0.0428 | 3.057 | 0.0061* | ||
| 9 | Get in | 1st-3rd vs. 1st-1st | 0.0872 | 0.0321 | 2.714 | 0.0184* |
| 10 | Good | 3rd-1st vs. 1st-1st | 0.0721 | 0.0284 | 2.539 | 0.0303* |
Figure 3Experiment 2 antecedent choice data.
Experiment 2: Comparing the numbers of non-local antecedent choices in the 2nd-3rd, the 3rd-2nd, and the 3rd-3rd Conditions (“.
| 3rd-2nd vs. 2nd-3rd | 0.1675 | 0.198 | 0.8433 |
| 3rd-3rd vs. 2nd-3rd | 1.4281 | 3.199 | <0.0100* |
| 3rd-3rd vs. 3rd-2nd | 1.8285 | 2.788 | <0.0100* |
Figure 4Experiment 2 average reading time data.
Experiment 2: Reading time results (“.
| 1 | You/Zhangsan | 19.38 | 1 | <0.001* | 1.122 | 1 | 0.270 | 0.496 | 1 | 0.481 |
| 2 | Told | 70.76 | 1 | <0.001* | 0.245 | 1 | 0.621 | 0.860 | 1 | 0.354 |
| 3 | Others | 20.52 | 1 | <0.001* | 0.004 | 1 | 0.951 | 0.626 | 1 | 0.429 |
| 4 | you/Lisi | 26.18 | 1 | <0.001* | 24.74 | 1 | <0.001* | 10.43 | 1 | <0.001* |
| 5 | thought | 20.72 | 1 | <0.010* | 10.82 | 1 | <0.010* | 0.054 | 1 | 0.817 |
| 6 | 0.938 | 1 | 0.333 | 8.932 | 1 | <0.010* | 0.635 | 1 | 0.425 | |
| 7 | next year | 0.660 | 1 | 0.417 | 0.363 | 1 | 0.547 | 5.483 | 1 | <0.050* |
| 8 | Could | 0.023 | 1 | 0.374 | 0.791 | 1 | 0.374 | 0.100 | 1 | 0.752 |
| 9 | get in | 1.351 | 1 | 0.574 | 0.316 | 1 | 0.574 | 1.957 | 1 | 0.162 |
| 10 | Good | 2.722 | 1 | 0.099· | 0.851 | 1 | 0.447 | 0.851 | 1 | 0.356 |
Target stimuli from Experiments 1 and 2.
| wo/Zhangsan | gaosu “told” | bieren “others” | I/Lisi | juede “thought” | ziji | mingnian keyikaojin hao daxue“next-year couldget-in goodcollege” |
| ni/Zhangsan “you/Zhangsan” | you/Lisi |
Exp 1: “{I/Zhangsan} told others that {I/Lisi} thought ZIJI could get into a good college next year.”
Exp 2: “{You/Zhangsan} told others that {you/Lisi} thought ZIJI could get into a good college next year.”
Sentence structure for target items and sample target sentences in Experiment 3.
| ting “hear” | bieren “others” | shuo “say” | keyi “can” | BA | de chengji rang bieren kan | ||||
| “DE grade let others see” | |||||||||
1st-1st: “I heard others say I could give ZIJI's score to others to look at.”
1st-3rd: “ heard others say Lisi could give ZIJI's score to others to look at.”
3rd-1st: “Zhangsan heard others say I could give ZIJI's score to others to look at.”
2nd-2nd: “You heard others say you could give ZIJI's score to others to look at.”
2nd-3rd: “You heard others say Lisi could give ZIJI's score to others to look at.”
3rd-2nd: “Zhangsan heard others say you could give ZIJI's score to others to look at.”
Figure 5Experiment 3 antecedent choice data.
Experiment 3: Planned comparisons for antecedent choice data (“.
| 3rd-1st vs. 1st-3rd | 2.0751 | 2.975 | 0.0107* |
| 3rd-2st vs. 2nd-3rd | 2.4489 | 4.618 | <0.001* |
| 3rd-1st vs. 3rd-2nd | −1.2112 | −3.604 | 0.0012* |
| 1st-3rd vs. 2nd-3rd | −0.8374 | −1.051 | 0.6672 |
Figure 6Reading times for conditions with the first person pronoun in Experiment 3.
Figure 7Reading times for conditions with the second person pronoun in Experiment 3.
Experiment 2: Reading time results (“.
| 1 | I/You/Zhangsan | 13.71 | 2 | <0.010* | 1.136 | 1 | 0.287 | 1.419 | 2 | 0.492 |
| 2 | Heard | 81.29 | 2 | <0.001* | 1.908 | 1 | 0.167 | 1.844 | 2 | 0.398 |
| 3 | Others | 45.42 | 2 | <0.001* | 0.367 | 1 | 0.545 | 0.043 | 2 | 0.979 |
| 4 | Say | 36.12 | 2 | <0.001* | 0.010 | 1 | 0.921 | 2.916 | 2 | 0.233 |
| 5 | I/you/Lisi | 30.43 | 2 | <0.001* | 3.275 | 1 | 0.070. | 1.300 | 2 | 0.522 |
| 6 | Could | 30.63 | 2 | <0.001* | 0.605 | 1 | 0.825 | 0.605 | 2 | 0.739 |
| 7 | BA | 16.31 | 2 | <0.001* | 0.775 | 1 | 0.379 | 3.772 | 2 | 0.152 |
| 8 | 3.801 | 2 | 0.150 | 0.000 | 1 | 0.995 | 3.602 | 2 | 0.165 | |
| 9 | DE | 4.951 | 2 | 0.084. | 2.951 | 1 | 0.086 | 1.276 | 2 | 0.528 |
| 10 | Exam | 5.937 | 2 | 0.051. | 0.006 | 1 | 0.940 | 1.685 | 2 | 0.431 |
| 11 | Let | 0.189 | 2 | 0.910 | 0.761 | 1 | 0.383 | 3.633 | 2 | 0.393 |
| 12 | People | 1.248 | 2 | 0.546 | 3.917 | 1 | 0.048 | 8.371 | 2 | 0.015* |