Language & Literacy

reading

In our last post in a series exploring the question, “What is (un)natural about learning to read and write?,” we looked at a paper from 1980 by Phillip Gough and Michael Hillinger, Learning to Read: An Unnatural Act, that provided a counter to Ken and Yetta Goodman’s argument that learning to read is natural, and provided us with a useful analogy: learning to read an alphabetic writing system is a form of cryptanalysis. Using this analogy, Gough and Hillinger drew out a fine-grained distinction between a code and a cipher that allowed them to make some precise observations about the difficulty of breaking the alphabetic cipher that have held up quite well over the years.

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Learning to Read: An Unnatural Act

In our last post in this series exploring the question, “What is (un)natural about learning to read and write?,” we looked at a paper from 1976 by Ken and Yetta Goodman that argued that written language is a form of oral language and thus, learned naturally in a literate society through exposure and use in the environment.

In this post, we’ll explore a direct counter to that argument made by Phillip Gough and Michael Hillinger in 1980.

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This is the first post in a series examining the question of what is natural and unnatural in learning to read. In this first post, we’ll unpack a controversial paper from Ken and Yetta Goodman.

In this presentation/paper, the Goodmans make the argument that in a literate society, learning written language is as natural as oral language because it is part of their functional environment.

“Language learning whether oral or written is motivated by the need to communicate, to understand and be understood.”

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The most fundamental questions and debates in a field of study can often be the most illuminating to the topic. Debates about the value of literature and the arts today, for example, can still be traced back to Plato and Aristotle.

A fundamental debate related to this blog’s focus has revolved around whether learning to read and write is natural or unnatural. This may at first glance seem a trivial question, but it turns out that the “reading wars” have circled around it. And it seems to surface continuing unresolved tensions between the studies of language and literacy development today.

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I have somewhat eclectic book reading habits, and I take pleasure in reading haphazardly (i.e. whatever I happen to come across). After growing bored with Moby Dick recently, I happened across a copy of Siddhartha Mukerjee’s The Emperor of All Maladies: A Biography of Cancer.

The book is compellingly written, narrating an expansive overview of the history of the treatment of cancer, while at the same time painting portraits of individual researchers, clinicians, and patients that draws the reader in. It makes oncology research and clinical practice sound exciting, which is no small feat.

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In my last post, we looked at a wonderful paper, Universals in Learning to Read Across Languages and Writing Systems, that outlines operating principles of reading and writing across languages, as well as some key variations. Continuing on this theme, I wanted to highlight another recent paper, The universal language network: A cross-linguistic investigation spanning 45 languages and 11 language families.”

The project is cool — the researchers have started a cross-linguistic database of brain scans, and their initial findings demonstrate a strong universal neural basis for language across multiple languages. Here’s the key finding that stood out to me:

In summary, we have here established that several key properties of the neural architecture of language—including its topography, lateralization to the left hemisphere, strong within network functional integration, and selectivity for linguistic processing—hold across speakers of diverse languages spanning 11 language families; and the variability we observed across languages is lower than the inter-individual variability. The language brain network therefore appears well-suited to support the broadly common features of languages, shaped by biological and cultural evolution. (Ayyash et al., 2021)

I found out about this paper from this Twitter thread from one of the researchers, Ev Fedorenko, and her thread also provides a neat summary of the project.

As this database of brain scans across languages is built out, it will be interesting to see what specific variations between languages and neural architecture may arise. For example, another recent paper, Difference Between Children and Adults in the Print-speech Coactivated Network,” examined the brain scans of native Chinese speakers and found some variations from past studies in the brains of developing readers, most likely due to the difference in writing systems in terms of the lack of grapheme-phoneme correspondence for Chinese characters, as well as how a single pronunciation can have many different meanings represented by different visual characters.

Taken together, our findings indicate that print-speech convergence is generally language-universal in adults, but it shows some language-specific features in developing readers. (He et al., 2021)

Overall, it’s fascinating to see how current research converges on the significant universality across languages in terms of how literacy develops, and exciting to see that specific differences between languages and writing systems are beginning to be studied with greater specificity.

As Perfetti and Verhoeven tidily pointed out in their paper:

The story of learning to read thus is one of universals and particulars: (i) Universals, because writing maps onto language, no matter the details of the system, creating a common challenge in learning that mapping, and because experience leads to familiarity-based identification across languages. (ii) Particulars, because it does matter for learning how different levels of language – morphemes, syllables, phonemes – are engaged; this in turn depends on the structure of the language and how its written form accommodates this structure. (Verhoeven & Perfetti, 2021)

#speech #language #literacy #universal #reading #multilingualism #orthography #brain #neuroscience #research

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In the course of skimming research articles, every now and then something surfaces that is comprehensive, clarifying, and just flat out fun to read because it brings illumination to something I’ve been grappling with.

One I want to make sure to bring to your attention, just in case you haven’t yet read it, is this open access piece from Verhoeven and Perfetti, Universals in Learning to Read Across Languages and Writing Systems. As I’ve been learning a lot more about learning how to read and write in English, as well as about the process of language development in general, I sometimes worry that not everything I learn may generalize well, especially to languages whose writing and phonological systems differ quite substantially from English. Here’s where the paper comes in as a great resource, because the authors offer—as noted in the title—some universal principles across a number of languages, and highlight some key differences.

They highlight, for example, the extreme difficulty of English spelling among alphabetic writing systems due to its “syllabic complexity” and lack of consistent and transparent mapping of phonology. But the difficulty of learning any alphabetic writing system is nothing compared to the complexity of Chinese, which blows all other writing systems out of the water.

They also have a lovely table that compares some of the major writing and language systems to one another descriptively, which I know is a resource I will return to in the future.

https://www.tandfonline.com/doi/full/10.1080/10888438.2021.1938575?scroll=top&needAccess=true

In the course of this high-level examination, the authors also do us another service, which is to render intricate and complex ideas from various studies on reading into short, clear sentences.

For example, I’ve recently written about the transformation of my own thinking around phonemic awareness, and here’s Verhoeven and Perfetti succinctly stating the current state of PA research:

“Evidence in alphabetic languages for the late association between phonemic awareness and literacy suggests that phonemic awareness and learning to read alphabetically can develop reciprocally. This means that phonemic awareness is an enabler rather than a prerequisite for alphabetic reading.”

Or the need for spelling practice — something we increasingly neglect or dismiss in the U.S.:

“An important cross-linguistic finding is that spelling practice helps children internalize orthographic structures.”

There are also some interesting critiques of the Simple View of Reading in the section on comprehension:

“[the] simple view is incomplete in accounting for development of reading skill because reading itself brings about the learning of vocabulary and experience with a wider variety of grammatical structures and text types that are not experienced in typical spoken language (outside of academic lectures). Reading also increases the general knowledge that is needed to support comprehension.”

At the center of this critique is the role of vocabulary, which spans across linguistic and conceptual knowledge:

“Because so much of vocabulary is acquired following beginning reading, it is not simply a store of language knowledge waiting to be unlocked by decoding. Word meanings are continuously being retrieved, learned, and fine-tuned by reading itself. Both the quality of specific word knowledge (lexical quality) and the quantity of known words are important in supporting comprehension (Perfetti, 2007; Perfetti & Hart, 2001). It might seem convenient to subsume vocabulary under spoken language comprehension and thereby have a two-factor model of reading comprehension. However, this would fail to capture some observations about word meanings. For example, vocabulary knowledge directly supports identification of words that have exceptional spellings (Ricketts, Nation, & Bishop, 2007). A model that allows a more direct influence of knowledge of word meanings on reading comprehension may be more appropriate across languages (see Verhoeven & van Leeuwe, 2008). Beyond beginning reading, where only spoken language vocabulary is available, word meanings are not intrinsically part of spoken language more than written language. In both cases, they are the central connection point between coded input and comprehension, as much a component of a reading system as a language system (Perfetti & Stafura, 2014).”

I thought this was interesting in a couple of ways. First, because this resonates with my own experience as someone who read quite a lot in my formative years, and thus a large amount of the vocabulary I possess is purely in the written form — I can read it and write it, but may not have had much exposure to it in spoken language nor use it in my own speech. Second, because it brought me back to a similar critique that Mark Seidenberg made against the SVR in some endnotes to Reading at the Speed of Light, in which he states, “The main weakness in Gough’s theory is that it did not make sufficient room for the ways that the components influence each other. Vocabulary, for example, is jointly determined by spoken language and reading. Vocabulary can also be considered a component of both basic skills and comprehension.”

More to say on this additional variance for sure, but I’ll save it for another post! In the meantime, read this paper by Verhoeven and Perfetti with a pen in hand so you can mark it up yourself! I hope you enjoy it as much as I do. There’s a ton of gems in there to examine more in depth.

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#language #literacy #phonemicawareness #orthography #multilingualism #reading #SVR #writing

A drawing of a brain

As I began my great awakening to the relatively extensive body of research on reading, one of the claims of reading research proponents that I’ve picked up on and carried with me is the idea that reading is unnatural and our brains were not born to read. And this makes sense from an evolutionary perspective, given that oral language has been around for a very long time (though we don’t know, of course, exactly when it showed up), while writing systems only showed up roughly 5,000 years ago.

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When I began this journey into learning more about literacy and language development (not too long ago), one of the first areas where I began sensing a tension in the field was around phonological awareness and the notion of instruction related to different “grain sizes.”

We know that phonological awareness develops in a manner that moves from large grain sizes (syllable, onset-rime) to small grain sizes (phonemes). Furthermore, we also know that phonemes are at a greater level of abstraction — they are harder to hear and speak — then something like a syllable, which is relatively easy to hear. So it certainly makes sense that instruction would follow the same trajectory in order to support that progression towards greater abstraction. It’s a compelling idea that unfortunately does not appear to be backed up by anything other than anecdotal evidence.

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I posted something on Twitter the other day (as I am wont to do far more frequently than write anything of deeper substance, alas) worrying that because the Simple View of Reading is a predominant model of reading (and may be therefore the basis from which some educators who are aware of it may primarily conceptualize language), phonology may be somewhat misunderstood as a result.

The Simple View of Reading

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