Falk Huettig

Presentations

Displaying 1 - 39 of 39
  • Favier, S., Meyer, A. S., & Huettig, F. (2018). How does literacy influence syntactic processing in spoken language?. Talk presented at Psycholinguistics in Flanders (PiF 2018). Gent, Belgium. 2018-06-04 - 2018-06-05.
  • Garrido Rodriguez, G., Huettig, F., Norcliffe, E., Brown, P., & Levinson, S. C. (2018). Participant assignment to thematic roles in Tzeltal: Eye tracking evidence from sentence comprehension in a verb-initial language. Talk presented at Architectures and Mechanisms for Language Processing (AMLaP 2018). Berlin, Germany. 2018-09-06 - 2018-09-08.
  • Huettig, F. (2018). How learning to read changes mind and brain [keynote]. Talk presented at Architectures and Mechanisms for Language Processing-Asia (AMLaP-Asia 2018). Telangana, India. 2018-02-01 - 2018-02-03.
  • Araújo, S., Huettig, F., & Meyer, A. S. (2016). What's the nature of the deficit underlying impaired naming? An eye-tracking study with dyslexic readers. Talk presented at IWORDD - International Workshop on Reading and Developmental Dyslexia. Bilbao, Spain. 2016-05-05 - 2016-05-07.

    Abstract

    Serial naming deficits have been identified as core symptoms of developmental dyslexia. A prominent hypothesis is that naming delays are due to inefficient phonological encoding, yet the exact nature of this underlying impairment remains largely underspecified. Here we used recordings of eye movements and word onset latencies to examine at what processing level the dyslexic naming deficit emerges: localized at an early stage of lexical encoding or rather later at the level of phonetic or motor planning. 23 dyslexic and 25 control adult readers were tested on a serial object naming task for 30 items and an analogous reading task, where phonological neighborhood density and word-frequency were manipulated. Results showed that both word properties influenced early stages of phonological activation (first fixation and first-pass duration) equally in both groups of participants. Moreover, in the control group any difficulty appeared to be resolved early in the reading process, while for dyslexic readers a processing disadvantage for low-frequency words and for words with sparse neighborhood also emerged in a measure that included late stages of output planning (eye-voice span). Thus, our findings suggest suboptimal phonetic and/or articulatory planning in dyslexia.
  • Eisner, F., Kumar, U., Mishra, R. K., Nand Tripathi, V., Guleria, A., Prakash Singh, J., & Huettig, F. (2016). Literacy acquisition drives hemispheric lateralization of reading. Talk presented at Architectures and Mechanisms for Language Processing (AMLaP 2016). Bilbao, Spain. 2016-09-01 - 2016-09-03.

    Abstract

    Reading functions beyond early visual precessing are known to be lateralized to the left hemisphere, but how left-lateralization arises during literacy acquisition is an open question. Bilateral processing or rightward asymmetries have previously been associated with developmental dyslexia. However, it is unclear at present to what extent this lack of left-lateralization reflects differences in reading ability. In this study, a group of illiterate adults in rural India (N=29) participated in a literacy training program over the course of six months. fMRI measures were obtained before and after training on a number of different visual stimulus categories, including written sentences, false fonts, and object categories such as houses and faces. This training group was matched on demographic and socioeconomic variables to an illiterate no-training group and to low- and highly-literate control groups, who were also scanned twice but received no training (total N=90). In a cross-sectional analysis before training, reading ability was positively correlated with increased BOLD responses in a left-lateralized network including the dorsal and ventral visual streams for text and false fonts, but not for other types of visual stimuli. A longitudinal analysis of learning effects in the training group showed that beginning readers engage bilateral networks more than proficient readers. Lateralization of BOLD responses was further examined by calculating laterality indices in specific regions. We observed training-related changes in lateralization for processing written stimuli in a number of subregions in the dorsal and ventral visual streams, as well as in the cerebellum. Together with the cross-sectional results, these data suggest a causal relationship between reading ability and the degree of hemispheric asymmetry in processing written materials.
  • Eisner, F., Kumar, U., Mishra, R. K., Nand Tripathi, V., Guleria, A., Prakash Singh, J., & Huettig, F. (2016). Literacy acquisition drives hemispheric lateralization of reading. Talk presented at the 31st International Congress of Psychology (ICP2016). Yokohoma, Japan. 2016-07-24 - 2016-07-29.

    Abstract

    Reading functions beyond early visual precessing are known to be lateralized to the left hemisphere, but how left-lateralization arises during literacy acquisition is an open question. Bilateral processing or rightward asymmetries have previously been associated with developmental dyslexia. However, it is unclear at present to what extent this lack of left-lateralization reflects differences in reading ability. In this study, a group of illiterate adults in rural India (N=29) participated in a literacy training program over the course of six months. fMRI measures were obtained before and after training on a number of different visual stimulus categories, including written sentences, false fonts, and object categories such as houses and faces. This training group was matched on demographic and socioeconomic variables to an illiterate no-training group and to low- and highly-literate control groups, who were also scanned twice but received no training (total N=90). In a cross-sectional analysis before training, reading ability was positively correlated with increased BOLD responses in a left-lateralized network including the dorsal and ventral visual streams for text and false fonts, but not for other types of visual stimuli. A longitudinal analysis of learning effects in the training group showed that beginning readers engage bilateral networks more than proficient readers. Lateralization of BOLD responses was further examined by calculating laterality indices in specific regions. We observed training-related changes in lateralization for processing written stimuli in a number of subregions in the dorsal and ventral visual streams, as well as in the cerebellum. Together with the cross-sectional results, these data suggest a causal relationship between reading ability and the degree of hemispheric asymmetry in processing written materials.
  • Huettig, F. (2016). Is prediction necessary to understand language?. Talk presented at the RefNet Round Table conference. Aberdeen, Scotland. 2016-01-15 - 2016-01-16.

    Abstract

    Many psycholinguistic experiments suggest that prediction is an important characteristic of language processing. Some recent theoretical accounts in the cognitive sciences (e.g., Clark, 2013; Friston, 2010) and psycholinguistics (e.g., Dell & Chang, 2014) appear to suggest that prediction is even necessary to understand language. I will evaluate this proposal. I will first discuss several arguments that may appear to be in line with the notion that prediction is necessary for language processing. These arguments include that prediction provides a unified theoretical principle of the human mind and that it pervades cortical function. We discuss whether evidence of human abilities to detect statistical regularities is necessarily evidence for predictive processing and evaluate suggestions that prediction is necessary for language learning. Five arguments are then presented that question the claim that all language processing is predictive in nature. I point out that not all language users appear to predict language and that suboptimal input makes prediction often very challenging. Prediction, moreover, is strongly context-dependent and impeded by resource limitations. I will also argue that it may be problematic that most experimental evidence for predictive language processing comes from 'prediction-encouraging' experimental set-ups. Finally, I will discuss possible ways that may lead to a further resolution of this debate. We conclude that languages can be learned and understood in the absence of prediction. Claims that all language processing is predictive in nature are premature.
  • Huettig, F. (2016). The effect of learning to read on the neural systems for vision and language: A longitudinal approach with illiterate participants. Talk presented at the Psychology Department, University of Brussels. Brussels, Belgium. 2016-10.
  • Huettig, F., Kumar, U., Mishra, R. K., Tripathi, V., Guleria, A., Prakash Singh, J., & Eisner, F. (2016). The effect of learning to read on the neural systems for vision and language: A longitudinal approach with illiterate participants. Talk presented at the International meeting of the Psychonomic Society. Granada, Spain. 2016-05-05 - 2016-05-08.

    Abstract

    How do human cultural inventions such as reading result in neural re-organization? In this first longitudinal study with young completely illiterate adult participants, we measured brain responses to speech, text, and other categories of visual stimuli with fMRI before and after a group of illiterate participants in India completed a literacy training program in which they learned to read and write Devanagari script. A literate and an illiterate no-training control group were matched to the training group in terms of socioeconomic background and were recruited from the same societal community in two villages of a rural area near Lucknow, India. This design permitted investigating effects of literacy cross-sectionally across groups before training (N=86) as well as longitudinally (training group N=25). The two analysis approaches yielded converging results: Literacy was associated with enhanced, left-lateralized responses to written text along the ventral stream (including lingual gyrus, fusiform gyrus, and parahippocampal gyrus), dorsal stream (intraparietal sulcus), and (pre-) motor systems (pre-central sulcus, supplementary motor area) and thalamus (pulvinar). Significantly reduced responses were observed bilaterally in the superior parietal lobe (precuneus) and in the right angular gyrus. These effects corroborate and extend previous findings from cross-sectional studies. However, effects of literacy were specific to written text and (to a lesser extent) to false fonts. We did not find any evidence for effects of literacy on responses in the auditory cortex in our Hindi-speaking participants. This raises questions about the extent to which phonological representations are altered by literacy acquisition.
  • Ostarek, M., & Huettig, F. (2016). Sensory representations are causally involved in cognition but only when the task requires it. Talk presented at the 3rd Attentive Listener in the Visual World (AttLis) workshop. Potsdam, Germany. 2016-05-10 - 2016-05-11.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2016). The multimodal nature of spoken word processing in the visual world: Testing the predictions of alternative models of multimodal integration. Talk presented at the 15th Neural Computation and Psychology Workshop: Contemporary Neural Network Models (NCPW15). Philadelphia, PA, USA. 2016-08-08 - 2016-08-09.
  • Speed, L., Chen, J., Huettig, F., & Majid, A. (2016). Do classifier categories affect or reflect object concepts?. Talk presented at the 38th Annual Meeting of the Cognitive Science Society (CogSci 2016). Philadelphia, PA, USA. 2016-08-10 - 2016-08-13.

    Abstract

    We conceptualize objects based on sensory and motor information gleaned from real-world experience. But to what extent is such conceptual information structured according to higher level linguistic features too? Here we investigate whether classifiers, a grammatical category, shape the conceptual representations of objects. In three experiments native Mandarin speakers (speakers of a classifier language) and native Dutch speakers (speakers of a language without classifiers) judged the similarity of a target object (presented as a word or picture) with four objects (presented as words or pictures). One object shared a classifier with the target, the other objects did not, serving as distractors. Across all experiments, participants judged the target object as more similar to the object with the shared classifier than distractor objects. This effect was seen in both Dutch and Mandarin speakers, and there was no difference between the two languages. Thus, even speakers of a non-classifier language are sensitive to object similarities underlying classifier systems, and using a classifier system does not exaggerate these similarities. This suggests that classifier systems simply reflect, rather than affect, conceptual structure.
  • Hintz, F., Meyer, A. S., & Huettig, F. (2014). Mechanisms underlying predictive language processing. Talk presented at the 56. Tagung experimentell arbeitender Psychologen [TeaP, Conference on Experimental Psychology]. Giessen, Germany. 2014-03-31 - 2014-04-02.
  • Hintz, F., Meyer, A. S., & Huettig, F. (2014). The influence of verb-specific featural restrictions, word associations, and production-based mechanisms on language-mediated anticipatory eye movements. Talk presented at the 27th annual CUNY conference on human sentence processing. Ohio State University, Columbus/Ohio (US). 2014-03-13 - 2014-03-15.
  • Huettig, F., & Guerra, E. (2014). Context-dependent mapping of linguistic and color representations challenges strong forms of embodiment. Talk presented at the 20th Architectures and Mechanisms for Language Processing Conference (AMLAP 2014). Edinburgh, UK. 2014-09-03 - 2014-09-06.

    Abstract

    A central claim of embodied theories of cognition is that sensory representations are
    routinely activated and influence language processing even in the absence of relevant
    sensory input (cf. Pulvermüller, 2005; Wassenburg & Zwaan, 2010). We tested the influence
    of color representations during language processing in three visual world eye tracking
    experiments. The method is particularly well suited to investigate this issue because the
    availability of relevant visual input can be manipulated.
    We made use of the phenomena that when participants hear a word that refers to a
    visual object or printed word they quickly direct their eye gaze to objects or printed words
    which are similar (e.g. semantically or visually) to the heard word. We used a look and listen
    task which previously has been shown to be sensitive to such relationships between spoken
    words and visual items. In Experiment 1, on experimental trials, participants listened to
    sentences containing a critical target word associated with a prototypical color (e.g.
    '...spinach...') as they inspected a visual display with four words printed in black font. One of
    the four printed words was associated with the same prototypical color (e.g. green) as the
    spoken target word (e.g. FROG). On experimental trials, the spoken target word did not have
    a printed word counterpart (SPINACH was not present in the display). In filler trials (70% of
    trials) the target was present in the display and attracted significantly more overt attention
    than the unrelated distractors. In experimental trials color competitors were not looked at
    more than the distractors. In Experiment 2 the printed words were replaced with line
    drawings of the objects. In order to direct the attentional focus of our participants toward
    color features we used a within-participants counter-balanced design and alternated color
    and greyscale trials randomly throughout the experiment. Therefore, on one trial our
    participants heard a word such as 'spinach' and saw a frog (colored in green) in the visual
    display. On the next trial however they saw a banana (in greyscale) on hearing 'canary'
    (bananas and canaries are typically yellow), etc. The presence (or absence) of color was
    thus a salient property of the experiment. Participants looked more at color competitors than
    unrelated distractors on hearing the target word in the color trials but not in the greyscale
    trials, i.e. on hearing 'spinach' they looked at the green frog but not the greyscale frog.
    Experiment 3 was identical to Experiment 2, except that the visual display was removed at
    the sentence onset, after a longer preview. This experiment examined whether the continued
    presence of color in the immediate visual environment was necessary for the observation of
    color-mediated eye movements. Eye movements directed towards the now blank screen
    were recorded as the sentence unfolded (cf. Spivey & Geng, 2001). In the filler trials,
    participants looked significantly more at the locations where the targets, rather than the
    distractors, had been previously presented as the target words acoustically unfolded. In the
    experimental trials, the locations where the color competitors had previously been presented
    did not attract increased attention (neither in color nor greyscale trials).
    These data demonstrate that language-mediated eye movements are only influenced
    by color relations between spoken words and visually displayed items if color is present in the immediate visual environment. We conclude that color representations are unlikely to be
    routinely activated in language processing. Our findings provide strong constraints for
    embodied theories of cognition which assume that sensory representations influence language processing even in the absence of relevant sensory input. These results fit best with the notion that the main role of sensory representations in language processing is a different one, namely to contextualize language in the immediate environment, connecting language to the here and now.
  • Huettig, F. (2015). Does prediction in language comprehension involve language production?. Talk presented at the Comprehension=Production? workshop. Nijmegen, the Netherlands. 2015-03-26 - 2015-03-28.

    Abstract

    The notion that predicting upcoming linguistic information in language comprehension makes use of the production system has recently received much attention (e.g., Chang et al., 2006; Dell & Chang, 2014; Federmeier, 2007; Pickering & Garrod, 2007, 2013; Van Berkum et al., 2005). So far there has been little experimental evidence for a relation between prediction and production. I will discuss the results of several recent eye-tracking experiments with toddlers (Mani & Huettig, 2012) and adults (Rommers et al. submitted, Hintz et al., in prep.) which provide some support for the view that production abilities are linked to language-mediated anticipatory eye movements. These data however also indicate that production-based prediction is situation-dependent and only one of many mechanisms supporting prediction. Taken together, these results suggest that multiple-mechanism accounts are required to provide a complete picture of anticipatory language processing.
  • Huettig, F. (2014). How embodied is language processing?. Talk presented at the 2nd Attentive Listener in the Visual World workshop. Hyderabad, India. 2014-11-03 - 2014-11-05.
  • Huettig, F. (2014). How literacy acquisition affects the illiterate mind. Talk presented at the Low Educated Second Language and Literacy Acquisition (LESLLA). Nijmegen, Netherlands. 2014-08-28 - 2014-08-30.
  • Huettig, F. (2014). Literacy influences on predictive language processing and visual search. Talk presented at the Priming across Modalities: The Influence of Orthography on Sign and Spoken Language Processing workshop. Haifa, Israel. 2014-04.
  • Huettig, F. (2014). The context-dependent influence of colour representations during language-vision interactions constrains theories of conceptual processing. Talk presented at the Color in Concepts workshop. Düsseldorf, Germany. 2014-06-02 - 2014-06-03.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2014). A comprehensive model of spoken word recognition must be multimodal: Evidence from studies of language mediated visual attention. Talk presented at the 36th Annual Conference of the Cognitive Science Society [CogSci 2014]. Quebec, Canada. 2014-07-23 - 2014-07-26.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2014). Examining strains and symptoms of the ‘Literacy Virus’: The effects of orthographic transparency on phonological processing in a connectionist model of reading. Talk presented at the 36th Annual Conference of the Cognitive Science Society [CogSci 2014]. Quebec, Canada. 2014-07-23 - 2014-07-26.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2014). Examining the effects of orthographic transparency on phonological and semantic processing within a connectionist implementation of the triangle model of reading. Talk presented at the 14th Neural Computation and Psychology Workshop [NCPW 14]. Lancaster, U.K. 2014-08-21 - 2014-08-23.
  • Huettig, F. (2013). Anticipatory eye movements and predictive language processing. Talk presented at the ZiF research group on "Competition and Priority Control in Mind and Brain. Bielefeld, Germany. 2013-07.
  • Huettig, F., Mishra, R. K., Kumar, U., Singh, J. P., Guleria, A., & Tripathi, V. (2013). Phonemic and syllabic awareness of adult literates and illiterates in an Indian alphasyllabic language. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2013]. Vienna, Austria. 2013-03-24 - 2013-03-27.
  • Huettig, F., Mani, N., Mishra, R. K., & Brouwer, S. (2013). Reading ability predicts anticipatory language processing in children, low literate adults, and adults with dyslexia. Talk presented at the 11th International Symposium of Psycholinguistics. Tenerife, Spain. 2013-03-20 - 2013-03-23.
  • Huettig, F., Mani, N., Mishra, R. K., & Brouwer, S. (2013). Reading ability predicts anticipatory language processing in children, low literate adults, and adults with dyslexia. Talk presented at the 54th Annual Meeting of the Psychonomic Society. Toronto, Canada. 2013-11-14 - 2013-11-17.
  • Janse, E., Huettig, F., & Jesse, A. (2013). Working memory modulates the immediate use of context for recognizing words in sentences. Talk presented at the 5th Workshop on Speech in Noise: Intelligibility and Quality. Vitoria, Spain. 2013-01-10 - 2013-01-11.
  • Mani, N., & Huettig, F. (2013). Reading ability predicts anticipatory language processing in 8 year olds. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2013]. Vienna, Austria. 2013-03-24 - 2013-03-27.
  • Rommers, J., Meyer, A. S., Piai, V., & Huettig, F. (2013). Constraining the involvement of language production in comprehension: A comparison of object naming and object viewing in sentence context. Talk presented at the 19th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2013]. Marseille, France. 2013-09-02 - 2013-09-04.
  • Rommers, J., Meyer, A. S., Praamstra, P., & Huettig, F. (2013). Anticipating references to objects during sentence comprehension. Talk presented at the Experimental Psychology Society meeting (EPS). Bangor, UK. 2013-07-03 - 2013-07-05.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2013). Modelling the effect of literacy on multimodal interactions during spoken language processing in the visual world. Talk presented at Tagung experimentell arbeitender Psychologen. [TEAP 2013]. Vienna, Austria. 2013-03-24 - 2013-03-27.

    Abstract

    Recent empirical evidence suggests that language-mediated eye gaze around the visual world varies across individuals and is partly determined by their level of formal literacy training. Huettig, Singh & Mishra (2011) showed that unlike high-literate individuals, whose eye gaze was closely time locked to phonological overlap between a spoken target word and items presented in a visual display, low-literate individuals eye gaze was not tightly locked to phonological overlap in the speech signal but instead strongly influenced by semantic relationships between items. Our present study tests the hypothesis that this behaviour is an emergent property of an increased ability to extract phonological structure from the speech signal, as in the case of high-literates, with low-literates more reliant on syllabic structure. This hypothesis was tested using an emergent connectionist model, based on the Hub-and-spoke models of semantic processing (Dilkina et al, 2008), that integrates linguistic information extracted from the speech signal with visual and semantic information within a central resource. We demonstrate that contrasts in fixation behaviour similar to those observed between high and low literates emerge when the model is trained on either a speech signal segmented by phoneme (i.e. high-literates) or by syllable (i.e. low-literates).
  • Smith, A. C., Monaghan, P., & Huettig, F. (2013). Phonological grain size and general processing speed modulates language mediated visual attention – Evidence from a connectionist model. Talk presented at The 19th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2013]. Marseille, France. 2013-09-02 - 2013-09-04.
  • Smith, A. C., Monaghan, P., & Huettig, F. (2013). Putting rhyme in context: Visual and semantic competition eliminates phonological rhyme effects in language-mediated eye gaze. Talk presented at The 18th Conference of the European Society for Cognitive Psychology [ESCOP 2013]. Budapest, Hungary. 2013-08-29 - 2013-09-01.
  • Huettig, F., & McQueen, J. M. (2009). AM radio noise changes the dynamics of spoken word recognition. Talk presented at 15th Annual Conference on Architectures and Mechanisms for Language Processing (AMLaP 2009). Barcelona, Spain. 2009-09-09.

    Abstract

    Language processing does not take place in isolation from the sensory environment. Listeners are able to recognise spoken words in many different situations, ranging from carefully articulated and noise-free laboratory speech, through casual conversational speech in a quiet room, to degraded conversational speech in a busy train-station. For listeners to be able to recognize speech optimally in each of these listening situations, they must be able to adapt to the constraints of each situation. We investigated this flexibility by comparing the dynamics of the spoken-word recognition process in clear speech and speech disrupted by radio noise. In Experiment 1, Dutch participants listened to clearly articulated spoken Dutch sentences which each included a critical word while their eye movements to four visual objects presented on a computer screen were measured. There were two critical conditions. In the first, the objects included a cohort competitor (e.g., parachute, “parachute”) with the same onset as the critical spoken word (e.g., paraplu, “umbrella”) and three unrelated distractors. In the second condition, a rhyme competitor (e.g., hamer, “hammer”) of the critical word (e.g., kamer, “room”) was present in the display, again with three distractors. To maximize competitor effects pictures of the critical words themselves were not present in the displays on the experimental trials (e.g.,there was no umbrella in the display with the 'paraplu' sentence) and a passive listening task was used (Huettig McQueen, 2007). Experiment 2 was identical to Experiment 1 except that phonemes in the spoken sentences were replaced with radio-signal noises (as in AM radio listening conditions). In each sentence, two,three or four phonemes were replaced with noises. The sentential position of these replacements was unpredictable, but the adjustments were always made to onset phonemes. The critical words (and the immediately surrounding words) were not changed. The question was whether listeners could learn that, under these circumstances, onset information is less reliable. We predicted that participants would look less at the cohort competitors (the initial match to the competitor is less good) and more at the rhyme competitors (the initial mismatch is less bad). We observed a significant experiment by competitor type interaction. In Experiment 1 participants fixated both kinds competitors more than unrelated distractors, but there were more and earlier looks to cohort competitors than to rhyme competitors (Allopenna et al., 1998). In Experiment 2 participants still fixated cohort competitors more than rhyme competitors but the early cohort effect was reduced and the rhyme effect was stronger and occurred earlier. These results suggest that AM radio noise changes the dynamics of spoken word recognition. The well-attested finding of stronger reliance on word onset overlap in speech recognition appears to be due in part to the use of clear speech in most experiments. When onset information becomes less reliable, listeners appear to depend on it less. A core feature of the speech-recognition system thus appears to be its flexibility. Listeners are able to adjust the perceptual weight they assign to different parts of incoming spoken language.
  • Huettig, F. (2009). Language-mediated visual search. Talk presented at Invited talk at VU Amsterdam. Amsterdam.
  • Huettig, F. (2009). On the use of distributional models of semantic space to investigate human cognition. Talk presented at Distributional Semantics beyond Concrete Concepts (Workshop at Annual Meeting of the Cognitive Science Society (CogSci 2009). Amsterdam, The Netherlands. 2009-07-29 - 2009-01-08.
  • Huettig, F. (2009). The role of colour during language-vision interactions. Talk presented at International Conference on Language-Cognition Interface 2009. Allahabad, India. 2009-12-06 - 2009-12-09.
  • Huettig, F., Chen, J., Bowerman, M., & Majid, A. (2008). Linguistic relativity: Evidence from Mandarin speakers’ eye-movements. Talk presented at 14th Annual Conference on the Architectures and Mechanisms for Language Processing [AMLaP 2008]. Cambridge, UK. 2008-09-04 - 2008-09-06.

    Abstract

    If a Mandarin speaker had walked past two rivers and wished to describe how many he had seen, he would have to say “two tiao river”, where tiao designates long, rope-like objects such as rivers, snakes and legs. Tiao is one of several hundred classifiers – a grammatical category in Mandarin. In two eye-tracking studies we presented Mandarin speakers with simple Mandarin sentences through headphones while monitoring their eye-movements to objects presented on a computer monitor. The crucial question is what participants look at while listening to a pre-specified target noun. If classifier categories influence general conceptual processing then on hearing the target noun participants should look at objects that are also members of the same classifier category – even when the classifier is not explicitly present. For example, on hearing scissors, Mandarin speakers should look more at a picture of a chair than at an unrelated object because scissors and chair share the classifier ba. This would be consistent with a Strong Whorfian position, according to which language is a major determinant in shaping conceptual thought (Sapir, 1921; Whorf, 1956). A weaker influence of language-on-thought could be predicted, where language shapes cognitive processing, but only when the language-specific category is actively being processed (Slobin, 1996). According to this account, eye-movements are not necessarily drawn to chair when a participant hears scissors, but they would be on hearing ba scissors. This is because hearing ba activates the linguistic category that both scissors and chair belong to. A third logical possibility is that classifiers are purely formal markers (cf. Greenberg, 1972; Lehman, 1979) that do not influence attentional processing even when they are explicitly present. The data showed that when participants heard a spoken word from the same classifier category as a visually depicted object (e.g. scissors-chair), but the classifier was not explicitly presented in the speech, overt attention to classifier-match objects (e.g. chair) and distractor objects did not differ (Experiment 1). But when the classifier was explicitly presented (e.g. ba, Experiment 2), participants shifted overt attention significantly more to classifier-match objects (e.g. chair) than to distractors. These data are incompatible with the Strong Whorfian hypothesis. Instead the findings support the Weak Whorfian hypothesis that linguistic distinctions force attention to properties of the world but only during active linguistic processing of that distinction (cf. Slobin, 1996).

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