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It's Harder to Break a Relationship When you Commit Long.

ABSTRACT: Past research has produced evidence that parsing commitments strengthen over the processing of additional linguistic elements that are consistent with the commitments and undoing strong commitments takes more time than undoing weak commitments. It remains unclear, however, whether this so-called digging-in effect is exclusively due to the length of an ambiguous region or at least partly to the extra cost of processing these additional phrases. The current study addressed this issue by testing Japanese relative clause structure, where lexical content and sentence meaning were controlled for. The results showed evidence for a digging-in effect reflecting the strengthened commitment to an incorrect analysis caused by the processing of additional adjuncts. Our study provides strong support for the dynamical, self-organizing models of sentence processing but poses a problem for other models including serial two-stage models as well as frequency-based probabilistic models such as the surprisal theory.

SUBMITTER: Arai M

PROVIDER: S-EPMC4894567 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature

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It's Harder to Break a Relationship When you Commit Long.

Arai Manabu M Nakamura Chie C

PloS one 20160606 6

Past research has produced evidence that parsing commitments strengthen over the processing of additional linguistic elements that are consistent with the commitments and undoing strong commitments takes more time than undoing weak commitments. It remains unclear, however, whether this so-called digging-in effect is exclusively due to the length of an ambiguous region or at least partly to the extra cost of processing these additional phrases. The current study addressed this issue by testing Ja ...[more]

PMID: 27271881

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Project description:Aims and objectivesImagine you're driving and you become so distracted by the radio that you miss your turn. Which is more likely to have caught your attention, a broadcast in your native tongue or one in your second language? The present study explores the effect of language proficiency on our ability to inhibit irrelevant phonological information.MethodologyParticipants were asked to identify which of two drawings changed color while ignoring irrelevant words in either their native language, English, or a less proficient language, Spanish. The drawings appeared on screen for either 200 or 2000ms prior to word-onset, which was followed 200ms later by a color-change. On critical trials, the irrelevant word shared phonological features with the label of the non-target drawing. Trials were blocked by preview time and language.Data and analysisReaction time data from 19 bilinguals were analyzed utilizing generalized linear mixed-effects models, with fixed effects of Competition (competitor vs. control), and Language (English vs. Spanish) and random effects for Subject and Item within each preview window.Findings/conclusionsNo interference was observed when participants heard their native tongue in either preview condition. However, participants in the long-preview condition were significantly slower to respond when there was phonological competition in their less proficient language, despite the fact that the task required no language processing.OriginalityPast work has indicated that languages are processed more automatically and cause greater interference as proficiency increases. We propose that though higher-proficiency languages may receive greater activation overall, lower-proficiency languages may be more likely to exogenously capture attention due to both relatively greater salience, and relatively less control.SignificanceThe present findings have implications for how we understand the dynamic relationship between language proficiency, activation, and inhibition, suggesting that the salience of the less familiar influences our ability to ignore irrelevant information.

Project description:BackgroundEase of access to health care is of great importance in any country but particularly in countries such as Niger where restricted access can put people at risk of mortality from diseases such as measles, meningitis, polio, pneumonia and malaria. This paper analyzes the physical access of populations to health facilities within Niger with an emphasis on the effect of seasonal conditions and the implications of these conditions in terms of availability of adequate health services, provision of drugs and vaccinations. The majority of the transport within Niger is pedestrian, thus the paper emphasizes access by those walking to facilities for care. Further analysis compared the change in accessibility for vehicular travel since public health workers do travel by vehicle when carrying out vaccination campaigns and related proactive health care activities.ResultsThe majority of the roads in Niger are non-paved (90%). Six districts, mainly in the region of Tahoua lack medical facilities. Patient to health facility ratios were best in Agadez with 7000 people served per health facility. During the dry season 39% of the population was within 1-hours walk to a health center, with the percentage decreasing to 24% during the wet season. Further analyses revealed that vaccination rates were strongly correlated with distance. Children living in clusters within 1-hour of a health center had 1.88 times higher odds of complete vaccination by age 1-year compared to children living in clusters further from a health center (p < 0.05). Three key geographic areas were highlighted where access to health centers took greater than 4 h walk during the wet and dry season. Access for more than 730,000 people can be improved in these areas with the addition of 17 health facilities to the current total of 504 during the dry season (260,000 during the wet season).ConclusionsThis study highlights critical areas in Niger where health services/facilities are lacking. A second finding is that population served by health facilities will be severely overestimated if assessments are solely conducted during the dry season. Mapped outputs can be used for future decision making processes and analysis.

Dataset Information

It's Harder to Break a Relationship When you Commit Long.

Publications

It's Harder to Break a Relationship When you Commit Long.

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