Word Reconition Problem

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    The term "sight words" has two somewhat related but different meanings in reading instruction:

    the many common words in English that do not conform to rules of Word Analysis or phonetic decodingwords

    like said, would, night, was, were, etc. (Some people refer to these words as "non-phonetic.")

    any words a reader can recognize instantly without sounding them out.

    For the sake of clarity, ASRP uses the term sight words in the first sense onlythe common words that do not

    conform to rules of Word Analysis. The second meaningany words a reader can recognize instantlyASRP

    includes in the category of Word Recognition.

    With any learner scoring below GE 4 in Word Recognition, it is a good idea to assess her/his knowledge of the most

    common sight words. Two lists you can use to assess sight word knowledge can be downloaded free on this Web

    site:Dolch Basic Wordsand theFry Instant Words.(The Fry list is based on word frequency in written English, so it

    includes some common words that are easily decodable such as did.)

    Methods for teaching sight words as whole units vary. It all boils down to using as many modalities as necessary to

    help learners remember the forms and recognize these words instantaneously. Flash cards or other ways to have

    repeated visual exposure to the word, writing the word, using a finger to trace the letter sequence, and visualizing the

    word are some strategies for learning the words. Saying the word while looking, tracing, or visualizing brings in

    another sensehearingto help impress the word in memory. Again, repetition is the key to acquiring mastery and

    automaticity with sight words.Approaches to instruction

    Sight word teaching techniques should not be used as a substitute for teaching Word Analysis skills. Because most

    adult poor readers have difficulty with Word Analysis skills, they tend to use a sight word approach on unfamiliar

    words, when they should attempt to decode them. They substitute a word they know well for a new word that

    somewhat resembles it, e.g., carrot for carriage. The result is guessing, self-corrections, and misreading.RR

    Non-native Speakers of English (NNSE) in Beginning and Intermediate Level ABE classes who already read an

    alphabetic language proficiently can usually transfer what they know about decoding from their native language to

    English. However, like native English speakers, they will need direct instruction with the many English sight words

    that are not phonetically regular (e.g., would) as well as the letter combinations that can be pronounced in various

    ways (e.g., -oughin rough, bough,and thought ).

    To find out more aboutWord Recognition- (700k)

    back to top

    http://lincs.ed.gov/readingprofiles/MC_Word_Recognition.htm

    http://www.readingrockets.org/article/6316/

    Stories from the Documentary:

    Nathan V. Lauren Sarah Lee Adam

    Nathan S.

    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    READING:Basics| Difficulties|Respon

    ses

    Difficulties with Reading

    What mystifies many parents is where and whythe reading process breaks down. Although,

    problems may occur in any area, decoding,

    comprehension, or retention, the root of most

    reading problems, in the view of many experts,

    is decoding.

    Reading Facts

    o Roughly 85% of children diagnosedwith learning difficulties have a primaryproblem with reading and relatedlanguage skills.

    o Reading difficulties areneurodevelopmental in nature.

    o Neurodevelopmental problems don't goaway, but they do not mean that astudent (or an adult) cannot learn or

    progress in school and life.o Most children with reading difficulties

    can be taught reading and strategiesfor success in school.

    o When children's reading problems areidentified early, they are more likely tolearn strategies that will raise theirreading to grade level.

    Decoding DifficultiesDecoding is the process by which a word is

    broken into individual phonemes and recognized

    based on those phonemes. For instance,

    proficient decoders separate the sounds "buh,"

    "aah," and "guh" in the word "bag." Someone

    who has difficulty decoding, and thus difficulty

    reading easily, may not hear and differentiate

    these phonemes. "Buh," "aah," and "guh" might

    be meaningless to them in relation to the word

    "bag" on the page.

    Experts have no one explanation for thisphenomenon. In some cases, it may reflect that

    some people simply require more time to

    separate sounds -- time that isn't there.

    Signs of decoding difficulty:

    o trouble sounding out words andrecognizing words out of context

    o confusion between letters and the

    UP CLOSE:

    Dyslexia

    Problems with phonemes

    Contrary to popular

    misconception, dyslexia is not

    characterized by letter or word

    reversal. In fact, dyslexia is a

    language-processing difficulty

    caused by the inability to break

    words into phonemes. Experts

    estimate that dyslexia, the most

    common reading difficulty,

    affects as many as 15 percent ofall Americans.

    Recent studies show a

    neurobiological basis for

    dyslexia, suggesting the

    potential for early diagnosis and

    new forms of treatment. This

    research describes a biological

    cause of the disorder; evidence

    that dyslexia does not reflect

    lack of intelligence, or attention,

    or effort. In addition, this

    reasearch may reveal better

    ways of diagnosing and treating

    reading problems.

    In one experiment, for example,

    scientists presented a group of

    dyslexics and people who read

    easily with an increasingly

    difficult series of reading tasks.

    The researchers used brain-

    imaging equipment to monitor

    the level of activity (as indicated

    by the flow of oxygenated

    blood) in each subject's brain

    during the tasks. In proficient

    readers, as the tasks grew more

    difficult, new regions of the

    brain were recruited. This

    recruitment traveled generally

    from the rear of the brain

    toward the front. In contast,

    activity in poor readers occurred

    less in rear portions of the brain

    and much more in front portions

    of the brain than in proficient

    readers.

    produced by

    2002WGBH

    Educational

    Foundation

    All rights

    reserved

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    sounds they represento slow oral reading rate (reading word-

    by-word)

    o reading without expressiono ignoring punctuation while reading

    Try it yourself.Experience a decodingdifficulty.

    Comprehension DifficultiesComprehension relies on mastery of decoding;

    children who struggle to decode find it difficult

    to understand and remember what has been

    read. Because their efforts to grasp individual

    words are so exhausting, they have no

    resources left for understanding.

    Signs of comprehension difficulty:

    o confusion about the meaning of wordsand sentences

    o inability to connect ideas in a passageo omission of, or glossing over detailo difficulty distinguishing significant

    information from minor detailso lack of concentration during reading

    Retention DifficultiesRetention requires both decoding and

    comprehending what is written. This task relies

    on high level cognitive skills, including memory

    and the ability to group and retrieve related

    ideas. As students progress through grade

    levels, they are expected to retain more and

    more of what they read. From third grade on,

    reading to learn is central to classroom work.

    By high school it is an essential task.

    Signs of retention difficulty:

    o trouble remembering or summarizingwhat is read

    o difficulty connecting what is read toprior knowledge

    o difficulty applying content of a text topersonal experiences

    READING:Basics| Difficulties|Responses

    This pattern is now believed to

    be the "neural signature" of

    dyslexia. As more is learned

    about the meaning of this

    "signature," more strategies for

    improving reading will be

    developed.

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    http://www.pbs.org/wgbh/misunderstoodminds/readingdiffs.html

    The DRC Model of Visual Word Recognition

    and Reading Aloud

    Skip to content

    About

    Updates

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    Understanding DRCs OutputWorking With DRCs ParametersWriting DRC Batch FilesDRCView

    Utilities

    CELEX N CalculatorDRC N CalculatorGPC Strength CalculatorDRC Letter ConfusabilitySpieler-Balota

    Reaction TimesAbout

    The DRC model is a computational model

    of reading which is intended to explain how skilled readers perform certain basic reading tasks.

    The acronym emphasizes the two fundamental properties of the model: it is a Dual Route model,

    and within the model information processing occurs in a Cascaded fashion.

    The model consists of three routes, the lexical semantic route, the lexical nonsemantic route,

    and the GPC route. Each route is composed of a number of interacting layers. These layers

    http://www.pbs.org/wgbh/misunderstoodminds/readingdiffs.htmlhttp://www.pbs.org/wgbh/misunderstoodminds/readingdiffs.htmlhttp://www.maccs.mq.edu.au/~ssaunder/DRC/http://www.maccs.mq.edu.au/~ssaunder/DRC/http://www.maccs.mq.edu.au/~ssaunder/DRC/#contenthttp://www.maccs.mq.edu.au/~ssaunder/DRC/#contenthttp://www.maccs.mq.edu.au/~ssaunder/DRChttp://www.maccs.mq.edu.au/~ssaunder/DRChttp://www.maccs.mq.edu.au/~ssaunder/DRC/updates/http://www.maccs.mq.edu.au/~ssaunder/DRC/updates/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/experimental-builds/http://www.maccs.mq.edu.au/~ssaunder/DRC#docshttp://www.maccs.mq.edu.au/~ssaunder/DRC#docshttp://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/working-with-drcs-parameters/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/drcview/http://www.maccs.mq.edu.au/~ssaunder/DRC/drcview/http://www.maccs.mq.edu.au/~ssaunder/DRC/drcview/http://www.maccs.mq.edu.au/~ssaunder/utils/index.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/index.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/celexN.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/drcN.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/gpcstrengths.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/lc.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/SpielerBalota.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/SpielerBalota.phphttp://www.maccs.mq.edu.au/~ssaunder/DRC/wp-content/uploads/2011/03/DRC-Diagram.pnghttp://www.maccs.mq.edu.au/~ssaunder/utils/SpielerBalota.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/SpielerBalota.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/lc.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/gpcstrengths.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/drcN.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/celexN.phphttp://www.maccs.mq.edu.au/~ssaunder/utils/index.phphttp://www.maccs.mq.edu.au/~ssaunder/DRC/drcview/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/working-with-drcs-parameters/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC#docshttp://www.maccs.mq.edu.au/~ssaunder/DRC/experimental-builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/updates/http://www.maccs.mq.edu.au/~ssaunder/DRChttp://www.maccs.mq.edu.au/~ssaunder/DRC/#contenthttp://www.maccs.mq.edu.au/~ssaunder/DRC/http://www.maccs.mq.edu.au/~ssaunder/DRC/http://www.pbs.org/wgbh/misunderstoodminds/readingdiffs.html
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    contain sets of units. The units represent the smallest individual symbolic parts of the model,

    such as words in the orthographic lexicon or letters in the letter unit layer.

    There are two ways in which the units of different layers interact. One is through inhibition,

    where the activation of a unit makes it more difficult for the activation of other units to rise. The

    other is through excitation, where the activation of a unit contributes to the activation of other

    units. Units may also interact on the same level through lateral inhibition.

    The2001 Psychological Review paper on DRC(9.1MB PDF) byColtheartet al. describes version 1.0

    of the model in detail.

    Simulator

    A simulatorof the lexical nonsemantic and GPC routes is available for Mac OS X, Linux (x86)

    and Windows. It is a command line application, so it must be operated from the Terminal

    application in Mac OS X, the Shellin Linux or the Command(or DOS) Promptin Windows.

    If you are not familiar with the use of this kind of software, there are many excellent tutorials

    available viaGoogle search.

    To get started download the latest build and use the following command line to see a list of

    options the simulator supports:

    drc --help

    A straightforward simulation of reading aloud a word can be achieved with the command:

    drc word

    Docs

    Simulator users may find the following documents useful:

    Understanding DRCs Output

    Working With DRCs Parameters

    Writing DRC Batch Files

    http://www.maccs.mq.edu.au/~ssaunder/files/DRC-PsychReview2001.pdfhttp://www.maccs.mq.edu.au/~ssaunder/files/DRC-PsychReview2001.pdfhttp://www.maccs.mq.edu.au/~ssaunder/files/DRC-PsychReview2001.pdfhttp://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://google.com/http://google.com/http://google.com/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/working-with-drcs-parameters/http://www.maccs.mq.edu.au/~ssaunder/DRC/working-with-drcs-parameters/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/writing-drc-batch-files/http://www.maccs.mq.edu.au/~ssaunder/DRC/working-with-drcs-parameters/http://www.maccs.mq.edu.au/~ssaunder/DRC/understanding-drcs-output/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://google.com/http://www.maccs.mq.edu.au/~ssaunder/DRC/category/drc/builds/http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~ssaunder/files/DRC-PsychReview2001.pdf
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    Links

    Some other resources related to DRC and reading:

    Max Colthearts WebsiteUniversity of OttawaOmnilex Database

    The ARC Nonword Database

    Related Papers

    Coltheart, M. and Rastle, K. (1994). Serial Processing in Reading Aloud: Evidence for Dual-

    Route Models of Reading.Journal of Experimental Psychology: Human Perception and

    Performance, 20, 1197-1211.

    Coltheart, M. and Leahy, J. (1996). Assessment of lexical and nonlexical reading abilities in

    children: Some normative data.Australian Journal of Psychology, 48, 136-140.

    Coltheart, M., Langdon, R. and Haller, M. (1996). Computational cognitive neuropsychology. In

    Dodd B, Worrall L and Campbell R (eds).Evaluating Theories of Language: Evidence from

    Disordered Communication. London: Whurr Publishers.

    Rastle, K and Coltheart, M. (1998). Whammies and double whammies: The effect of length onnonword reading.Psychonomic Bulletin & Review, 5, 277-282.

    Cestnick, L. and Coltheart, M. (1999). The relationship between language-processing and visual-

    processing deficits in developmental dyslexia. Cognition, 71, 231-255.

    Coltheart, M., Woollams, A., Kinoshita, S. and Perry, C. (1999). A position-sensitive Stroop

    effect: Further evidence for a left-to-right component in print-to-speech.Psychonomic Bulletin

    & Review, 6, 456-463.

    Rastle, K. and Coltheart, M. (1999). Serial and strategic effects in reading aloud.Journal of

    Experimental Psychology: Human Perception & Performance, 25, 482-503.

    Rastle, K. and Coltheart, M. (1999). Lexical and nonlexical phonological priming in reading

    aloud.Journal of Experimental Psychology: Human Perception & Performance, 25, 461-481.

    http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~max/http://www.omnilex.uottawa.ca/http://www.omnilex.uottawa.ca/http://www.omnilex.uottawa.ca/http://www.omnilex.uottawa.ca/http://www.maccs.mq.edu.au/~nwdb/http://www.maccs.mq.edu.au/~nwdb/http://www.maccs.mq.edu.au/~nwdb/http://www.omnilex.uottawa.ca/http://www.maccs.mq.edu.au/~max/http://www.maccs.mq.edu.au/~max/
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    Rastle, K. and Coltheart, M. (2000). Serial processing in reading aloud: Reply to Zorzi (2000).

    Journal of Experimental Psychology: Human Perception & Performance, 26, 1232-1235.

    Rastle, K. and Coltheart, M. (2000). Lexical and nonlexical print-to-sound translation of

    disyllabic words and nonwords.Journal of Memory & Language, 42, 342-364.

    Rastle, K., Harrington, J.M., Coltheart, M. and Palethorpe, S. (2000). Reading aloud begins

    when the computation of phonology is complete.Journal of Experimental Psychology: Human

    Perception & Performance, 26, 1178-1191.

    Coltheart, M., Rastle, K., Perry, C., Langdon, R. & Ziegler, J. (2001). DRC: A Dual Route

    Cascaded model of visual word recognition and reading aloud.Psychological Review, 108, 204-

    256.

    Roberts, M., Rastle, K., Coltheart, M. & Besner, D. (2003). When parallel processing in visual

    word recognition is not enough: New evidence from naming.Psychonomic Bulletin & Review,

    12, 405-414.

    Coltheart, M. (2004). Are there lexicons? Quarterly Journal of Experimental Psychology, 57A,

    1153-1171.

    Blazely, A., Coltheart, M., & Casey, B. (2005). Semantic dementia with and without surface

    dyslexia. Cognitive Neuropsychology, 22, 695-717.

    Coltheart, M. (2005). Analysing developmental disorders of reading.Advances in Speech-

    Language Pathology, 7, 49-57.

    Coltheart, M. (2005). Modelling reading: The dual-route approach. For Snowling, M.J. &

    Hulme, C. (Eds). The Science of Reading. Oxford: Blackwells Publishing.

    Bates, T.C., Castles, A., Luciano, M., Wright, M.J., Coltheart, M. & Martin, N.G. (2006). Genetic

    and environmental bases of reading & spelling: A unified genetic dual route model.Reading and

    Writing, 20, 147-171.

    Castles, A., Bates, T. & Coltheart, M. (2006). John Marshall and the developmental dyslexias.

    Aphasiology, 20, 871-892.

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    Castles, A., Bates, T., Coltheart, M., Luciano, M. & Martin, N.G. (2006). Cognitive modelling and

    the behavior genetics of reading.Journal of Research in Reading, 29, 92-103.

    Coltheart, M. (2006). Acquired dyslexias and the computational modelling of reading. Cognitive

    Neuropsychology, 23, 96-109.

    Coltheart, M. (2006). Dual route and connectionist models of reading: An overview.London

    Review of Education, 4, 5-17.

    Howard, D., Nickels, L., Coltheart, M. & Cole-Virtue, J. (2006). Cumulative semantic inhibition

    in picture naming: experimental and computational studies. Cognition, 100, 464-482.

    Rastle, K., & Coltheart, M. (2006). Is there serial processing in the reading system; and are therelocal representations? In Andrews, S. (Ed).All about words: Current issues in lexical

    processing. Hove: Psychology Press.

    Coltheart, M., Tree, J., & Saunders, S. (2008). Computational modelling of reading impairments

    in semantic dementia [Abstract].Australian Journal of Psychology, 60(1), 64.

    Mousikou, P., Coltheart, M. & Saunders, S. (2008). What is the nature of the masked onset

    priming effect: phonological, graphemic or both? Evidence from behavioural and computational

    data [Abstract].Australian Journal of Psychology, 60(Suppl. 1), 88.

    Nickels, L., Biedermann, B., Coltheart, M., Saunders, S. & Tree, J. (2008). Computational

    modeling of phonological dyslexia: How does the DRC model fare? [Special Issue]. Cognitive

    Neuropsychology, 25(2), 165-193.

    Rastle, K., Havelka, J., Wydell, T.N., Coltheart, M. & Besner, D. (2009). The cross-script length

    effect: Further evidence challenging PDP models of reading aloud.Journal of Experimental

    Psychology: Learning, Memory and Cognition, 35, 238-246.

    Mousikou, P., Coltheart, M., Saunders, S., & Yen, L. (2010). Is the orthographic/phonological

    onset a single unit in reading aloud?Journal of Experimental Psychology: Human Perception

    & Performance, 36(1), 175-194.

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    Mousikou, B., Coltheart, M., & Saunders, S. (2010). Computational modelling of the masked

    onset priming effect in reading aloud [Special Issue].European Journal of Cognitive

    Psychology, 22(5), 725-763.

    Mousikou, P., Coltheart, M., Finkbeiner, M. & Saunders, S. (2010). Can the dual-route cascaded

    computational model of reading offer a valid account of the masked onset priming

    effect? The Quarterly Journal of Experimental Psychology, 63(5), 984-1003.

    Biedermann, B., Nickels, L., & Coltheart, M. (in press). Effects of homophony on reading aloud:

    Implications for models of speech production.Language and Cognitive Processes.

    Coltheart, M., Tree, J. & Saunders, S. (in press). Computational modelling of reading in

    semantic dementia: Comment on Woollams, Lambon Ralph, Plaut and Patterson (2007).Psychological Review.

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    The Science of Word Recognition

    or how I learned to stop worrying and love the bouma

    Kevin Larson

    Advanced Reading Technology, Microsoft Corporation

    July 2004

    On This PageIntroduction

    Model #1: Word Shape

    Model #2: Serial Letter Recognition

    Model #3: Parallel Letter Recognition

    Moving Window Study

    Boundary Study

    Evidence for Word Shape Revisited

    Neural Network Modeling

    Conclusions

    Introduction

    Evidence from the last 20 years of work in cognitive psychology indicate that we

    use the letters within a word to recognize a word. Many typographers and other

    text enthusiasts Ive met insist that words are recognized by the outline made

    around the word shape. Some have used the term bouma as a synonym for word

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    shape, though I was unfamiliar with the term. The term bouma appears in Paul

    Saengers 1997 book Space Between Words: The Origins of Silent Reading. There

    I learned to my chagrin that we recognize words from their word shape and that

    Modern psychologists call this image the Bouma shape.

    This paper is written from the perspective of a reading psychologist. The data

    from dozens of experiments all come from peer reviewed journals where the

    experiments are well specified so that anyone could reproduce the experiment

    and expect to achieve the same result. This paper was originally presented as a

    talk at theATypIconference in Vancouver in September, 2003.

    The goal of this paper is to review the history of why psychologists moved from a

    word shape model of word recognition to a letter recognition model, and to help

    others to come to the same conclusion. This paper will cover many topics in

    relatively few pages. Along the way I will present experiments and models that Icouldnt hope to cover completely without boring the reader. If you want more

    details on an experiment, all of the references are at the end of the paper as well

    as suggested readings for those interested in more information on some topics.

    Most papers are widely available at academic libraries.

    I will start by describing three major categories of word recognition models: the

    word shape model, and serial and parallel models of letter recognition. I will

    present representative data that was used as evidence to support each model.

    After all the evidence has been presented, I will evaluate the models in terms of

    their ability to support the data. And finally I will describe some recent

    developments in word recognition and a more detailed model that is currently

    popular among psychologists.

    Model #1: Word Shape

    The word recognition model that says words are recognized as complete units is

    the oldest model in the psychological literature, and is likely much older than the

    psychological literature. The general idea is that we see words as a complete

    patterns rather than the sum of letter parts. Some claim that the information usedto recognize a word is the pattern of ascending, descending, and neutral

    characters. Another formulation is to use the envelope created by the outline of

    the word. The word patterns are recognizable to us as an image because we have

    seen each of the patterns many times before. James Cattell (1886) was the first

    psychologist to propose this as a model of word recognition. Cattell is recognized

    as an influential founder of the field of psycholinguistics, which includes the

    scientific study of reading.

    http://www.atypi.org/http://www.atypi.org/http://www.atypi.org/http://www.atypi.org/
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    Figure 1: Word shape recognition using the pattern of ascending, descending,and neutral characters

    characters

    Figure 2: Word shape recognition using the envelope around the word

    Cattell supported the word shape model because it provided the best explanation

    of the available experimental evidence. Cattell had discovered a fascinating effect

    that today we call the Word Superiority Effect. He presented letter and word

    stimuli to subjects for a very brief period of time (5-10ms), and found that

    subjects were more accurate at recognizing the words than the letters. He

    concluded that subjects were more accurate at recognizing words in a short

    period of time because whole words are the units that we recognize.

    Cattells study was sloppy by modern standards, but the same effect was

    replicated in 1969 by Reicher. He presented strings of letters half the time real

    words, half the time not for brief periods. The subjects were asked if one of two

    letters were contained in the string, for example Dor K. Reicher found that

    subjects were more accurate at recognizing Dwhen it was in the context of WORD

    than when in the context of ORWD. This supports the word shape model because

    the word allows the subject to quickly recognize the familiar shape. Once the

    shape has been recognized, then the subject can deduce the presence of the

    correct letter long after the stimulus presentation.

    The second key piece of experimental data to support the word shape model is

    that lowercase text is read faster than uppercase text. Woodworth (1938) was thefirst to report this finding in his influential textbookExperimental Psychology.

    This finding has been confirmed more recently by Smith (1969) and Fisher

    (1975). Participants were asked to read comparable passages of text, half

    completely in uppercase text and half presented in standard lowercase text. In

    each study, participants read reliably faster with the lowercase text by a 5-10%

    speed difference. This supports the word shape model because lowercase text

    enables unique patterns of ascending, descending, and neutral characters. When

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    text is presented in all uppercase, all letters have the same text size and thus are

    more difficult and slower to read.

    The patterns of errors that are missed while proofreading text provide the third

    key piece of experimental evidence to support the word shape model. Subjectswere asked to carefully read passages of text for comprehension and at the same

    time mark any misspelling they found in the passage. The passage had been

    carefully designed to have an equal number of two kinds of misspellings:

    misspellings that are consistent with word shape, and misspellings that are

    inconsistent with word shape. A misspelling that is consistent with word shape is

    one that contains the same patterns of ascenders, descenders, and neutral

    characters, while a misspelling that is inconsistent with word shape changes the

    pattern of ascenders, descenders, and neutral characters. If testis the correctly

    spelled word, tesfwould be an example of a misspelling consistent with word

    shape and tescwould be an example of a misspelling inconsistent with word

    shape. The word shape model would predict that consistent word shapes would

    be caught less often than an inconsistent word shape because words are moreconfusable if they have the same shape. Haber & Schindler (1981) and Monk &

    Hulme (1983) found that misspellings consistent with word shape were twice as

    likely to be missed as misspellings inconsistent with word shape.

    Target word: test Error rate

    Consistent word shape (tesf) 13%

    Inconsistent word shape (tesc) 7%

    Figure 3: Misspellings that are consistent with word shape are missed more

    often

    The fourth piece of evidence supporting the word shape model is that it is difficult

    to read text in alternating case. AlTeRnAtInG case is where the letters of a word

    change from uppercase to lowercase multiple times within a word. The word

    shape model predicts that this is difficult because it gives a pattern of ascending,

    descending, and neutral characters that is different than exists in a word in its

    natural all lowercase form. Alternating case has been shown to be more difficultthan either lowercase or uppercase text in a variety of studies. Smith (1969)

    showed that it slowed the reading speed of a passage of text, Mason (1978)

    showed that the time to name a word was slowed, Pollatsek, Well, & Schindler

    (1975) showed that same-difference matching was hindered, and Meyer &

    Gutschera (1975) showed that category decision times were decreased.

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    Model #2: Serial Letter Recognition

    The shortest lived model of word recognition is that words are read letter-by-

    letter serially from left to right. Gough (1972) proposed this model because it was

    easy to understand, and far more testable than the word shape model of reading.In essence, recognizing a word in the mental lexicon was analogous to looking up

    a word in a dictionary. You start off by finding the first letter, than the second,

    and so on until you recognize the word.

    This model is consistent with Sperlings (1963) finding that letters can be

    recognized at a rate of 10-20ms per letter. Sperling showed participants strings of

    random letters for brief periods of time, asking if a particular letter was contained

    in the string. He found that if participants were given 10ms per letter, they could

    successfully complete the task. For example, if the target letter was in the fourth

    position and the string was presented for 30ms, the participant couldnt completethe task successfully, but if string was presented for 40ms, they could complete

    the task successfully. Gough noted that a rate of 10ms per letter would be

    consistent with a typical reading rate of 300 wpm.

    The serial letter recognition model is also able to successfully predict that shorter

    words are recognized faster than longer words. It is a very robust finding that

    word recognition takes more time with longer words. It takes more time to

    recognize a 5-letter word than a 4-letter word, and 6-letter words take more time

    to recognize than 5-letter words. The serial letter recognition model predicts that

    this should happen, while a word shape model does not make this prediction. In

    fact, the word shape model should expect longer words with more unique

    patterns to be easier to recognize than shorter words.

    The serial letter recognition model fails because it cannot explain the Word

    Superiority Effect. The Word Superiority Effect showed that readers are better

    able to identify letters in the context of a word than in isolation, while the serial

    letter recognition model would expect that a letter in the third position in a word