Ideophones —vivid sensory words found in many of the world’s languages— are often described as having little or no morphosyntax. That simple statement conceals an interesting puzzle. It is not often that we can define a word class across languages in terms of its syntax (or lack thereof). After all, most major types of word classes show intriguing patterns of cross-linguistic variation. There is no particular reason to expect that the morphosyntactic position or degree of embedding of, say, noun-like or verb-like words will be similar across unrelated languages. Indeed that is why typologists define comparative concepts primarily by reference to semantic rather than grammatical or morphosyntactic properties (Croft 2003; Haspelmath 2007). Continue reading
One of the key tasks scientists need to master is how to manage bibliographic information: collecting relevant literature, building a digital library, and handling citations and bibliographies during writing.
This tutorial introduces Zotero (www.zotero.org), an easy to use reference management tool made by scholars for scholars. The tutorial covers the basics of using Zotero for collecting, organizing, citing and sharing research. Zotero automates the tasks of managing bibliographic data, storing and renaming PDFs, and formatting references. It also integrates with widely used text processors, and can synchronize your library across devices. There is no more need to search through disorganized file folders full of inscrutably named PDF files, to copy and paste references across documents, or to manually deal with pointless differences in citation styles. Ultimately, the point of using a reference manager is to free more time for real research.
Note: these are slides made for a hands-on workshop. They may not work well outside the context of a live Zotero demonstration. I share them because they may still contain some useful information.
Natural conversations are a great source of data for all sorts of linguistic research. Linguists and conversation analysts usually study them primarily for their structure, not their content. This is not out of disinterest, but out of empirical prudence. Talk tends to support a wide range of interpretations. It is empirically safest to stick to observable structures and practices, or at most to interpretations furnished by the interlocutors themselves.
The excerpt below is translated from a corpus of natural conversations in Siwu, a language spoken in Ghana. Two elderly men are sitting in front of their house and chatting. They’ve just been talking about a fellow villager whose children are “giving him problems”. The long silence before Adom’s “So now.” signifies, among other things, that what comes now is likely a new topic. The exchange that follows is beautifully poetic both in terms of structure and topic.
|You have a keyboard.|
|A||You have an uh. (1.5) this thing|
|A||You have uh (0.8) radio.|
|A||You have electricity.|
|A||You have water.|
|A||So then what really- what do you really need on this earth?|
|B||What I need?|
|As for me, I don’t need anything except-|
|Except my bodily health.|
|A||Just your bodily health.|
One is tempted to talk about Maslow’s pyramid, material culture, and a whole lot of other things — but it is probably best to let the exchange speak for itself. (Translated from Siwu.)
A while back some low quality citations started showing up on Google Scholar. They had titles like “CHAPTER 2 draft — email firstname.lastname@example.org” and it was hard find actual bibliographic metadata. Google Scholar seemed to have scraped random PDFs uploaded on Academia.edu and decided it was worth counting the citations in them even in the absence of proper metadata. I shared this on Twitter and promptly forgot about it.
Then I got an email from someone asking me to say a bit more about my concerns with poor metadata. I decided to write it up in a blog post. I’m afraid it turned into a a bit of rant about how Academia.edu seems built not so much for sharing scientific information as for playing to our vanity. Sorry about that. Let’s start with the poor metadata issue, which turns out to be rather pervasive. Continue reading
We have a new paper out. It’s actually been available since February in an online-first version, but for those of us who love page numbers and dead trees, the journal has now printed it in its August issue on pages 1274-1281. Citation:
Lockwood, G., Dingemanse, M., & Hagoort, P. (2016). Sound-symbolism boosts novel word learning (PDF). Journal of Experimental Psychology: Learning, Memory, and Cognition, 42(8), 1274-1281. doi:10.1037/xlm0000235
This is another one for which we’ve made available the stimuli —word lists and sound files— through OSF, contributing to our mission to make research from our lab replicable. Also, we have since replicated the results in a follow-up study where we also took EEG and individual difference measures.
I provide a quick summary in 2×3 points below. For a write-up that’s much more fun and has great illustrations, check out Gwilym Lockwood’s Sound symbolism boosts novel word learning: the MS Paint version. Continue reading
Note: I prepared this posting in August 2015, when PLOS ONE was due to publish a paper by us and I wanted to make sure they’d avoid the stupid typesetting errors they made in our 2013 paper. I used the numbers to convince them to show us proofs beforehand. To my surprise, they did, and I never got around to finishing the draft piece I had in the making. This week the issue flared up again following a comment by Dorothy Bishop, so I’ve decided to unearth my draft blog post and put it online.
Update: thanks Retraction Watch for giving some attention to this issue: PLOS ONE’s correction rate is higher than average. Why? Continue reading
Dingemanse, Mark, Will Schuerman, Eva Reinisch, Sylvia Tufvesson, and Holger Mitterer. 2016. “What Sound Symbolism Can and Cannot Do: Testing the Iconicity of Ideophones from Five Languages.” Language 92 (2): e117–33. doi:10.1353/lan.2016.0034
The basic finding is this: people are sensitive to the meaning of ideophones they’ve never heard, even when they are produced out of context by a computer voice in a difficult forced choice task. Yet there is also reason for caution: the effect is not nearly as strong as what people have found for pseudowords like bouba and kiki.
As we note in the introduction, “there appears to be a tendency to either underplay or exaggerate the significance of iconicity in the study of language and mind”. In this paper we chart a middle way between these extremes. Here’s a quick summary in 3×3 points:
What we did:
- Sound symbolism (iconicity in spoken language) is usually studied using hand-crafted pseudowords in binary forced choice experiments (think bouba and kiki, as reviewed here), but there are three problems with such experimental designs: (i) they run the risk of inflating effect sizes, (ii) it is unclear how they relate to natural languages, and (iii) they usually don’t control for prosody.
- We designed a study to tackle these problems by (i) adjusting the binary choice task to be more realistic and harder, (ii) using real words and meanings from natural languages, and (iii) teasing apart prosody and segmental features. Essentially, we bring linguistic insights to bear on the psychological study of sound symbolism.
- We take 203 ideophones —lexical sound-symbolic words— from 5 languages and 5 semantic domains and present them to 80 participants in 4 versions: (i) full original recording, (ii) full speech synthesized version, (iii) prosody-only condition and (iv) phonemes-only condition. The versions help us control for variation due to different speakers and help us examine the contributions of prosody and segmental features.
What we found:
- People can choose the correct translation of ideophones at a level significantly above chance. So ideophones in Japanese, Korean, Semai, Ewe and Siwu are not fully arbitrary, as is normally assumed of words; they contain iconic cues that even people who don’t speak these languages can pick up.
- Sound ideophones are easiest to guess, but the other semantic domains (movement, texture, color/visual appearance, and shape) come out significantly above chance as well. However, the effect is much more modest than most bouba/kiki studies: in the best versions, people score 57.2% on average (where 50% would be chance level) — quite different from the 95% that has sometimes been claimed for pseudoword studies.
- Performance for the original and resynthesised stimuli is indistinguishable, so our speech synthesis method works. Performance is significantly better for the full versions (i-ii) than for the reduced versions (iii-iv), so both prosody and phonemes contribute to the effect (and neither alone is sufficient).
What we conclude:
- Findings based on pseudowords like bouba/kiki cannot be automatically translated into claims about natural languages. Ideophones combine iconicity and arbitrariness, and lexical iconicity in ideophones is best characterised as a weak bias, which is supported by multimodal performances in actual use and which may be amplified in cultural evolution (cf our TiCS paper).
- Prosody is just as important as segmental information in supporting iconic interpretations (as predicted here). Prior work, which has rarely controlled for prosody, likely overestimates the role of speech sounds and underestimates the role of intonation, duration and other prosodic cues.
- Speech synthesis offers a viable way to achieve experimental control in the study of sound symbolism. To stimulate its wider use we’re making available all stimulus materials, including the diphone synthesis source files we used to create them. Get them at MUSE or OSF.
Sound symbolism is a phenomenon with broad relevance to the study of language and mind, but there has been a disconnect between its investigations in linguistics and psychology. This study tests the sound-symbolic potential of ideophones—words described as iconic—in an experimental task that improves over prior work in terms of ecological validity and experimental control. We presented 203 ideophones from five languages to eighty-two Dutch listeners in a binary-choice task, in four versions: original recording, full diphone resynthesis, segments-only resynthesis, and prosody-only resynthesis. Listeners guessed the meaning of all four versions above chance, confirming the iconicity of ideophones and showing the viability of speech synthesis as a way of controlling for segmental and suprasegmental properties in experimental studies of sound symbolism. The success rate was more modest than prior studies using pseudowords like bouba/kiki, implying that assumptions based on such words cannot simply be transferred to natural languages. Prosody and segments together drive the effect: neither alone is sufficient, showing that segments and prosody work together as cues supporting iconic interpretations. The findings cast doubt on attempts to ascribe iconic meanings to segments alone and support a view of ideophones as words that combine arbitrariness and iconicity. We discuss the implications for theory and methods in the empirical study of sound symbolism and iconicity.
Summary: Google Scholar is great, but its inclusiveness and mix of automatically updated and hand-curated profiles means you should never take any of its numbers at face value. Case in point: the power couple Prof. Et Al and Dr. A. Author, whose profiles I created following Scholar’s recommended settings (and a bit of manual embellishment). If you have a Scholar profile, make sure you don’t let Scholar update the publication list automatically without checking and cleaning up regularly. If you’re looking at somebody else’s profile, take it with a big pinch of salt, especially when they have a reasonably common name or when duplicate entries or weird citation distributions indicate that it is being automatically updated. Continue reading
Just out in Trends in Cognitive Sciences: a review paper by yours truly with Damián Blasi, Gary Lupyan, Morten Christiansen and Padraic Monaghan. It is titled “Arbitrariness, iconicity and systematicity in language”. You can download it here (PDF). Here is a simple summary:
An important principle in linguistics is that words show no predictable relation between their form and their meaning (arbitrariness). Yet this principle does not have exclusive reign. Some words have forms that suggest aspects of their meaning (iconicity). Some groups of words have subtle statistical properties that give away something about their grammatical function (systematicity). To fully explain how words work, we need to recognise that the principle of arbitrariness is not the whole story, and that words can additionally show degrees of iconicity and systematicity.
Here is are six take-away points:
- Often, arbitrariness is thought to be not just necessary but also sufficient to explain how words work. We show this is not the case: non-arbitrary patterns in language are more common than assumed, and they have implications for how we learn, process and use language.
- Often, arbitrariness and iconicity are pitted against each other. We show this is an oversimplification: iconic words have a degree of arbitrariness and the two do not exclude each other.
- Often, the role of iconicity in language is thought to be minimal. We show that it can differ dramatically across languages and also varies as a function of meaning and modality (e.g. signed or spoken).
- Sometimes, iconicity and systematicity have been confused. We show that distinguishing them helps us to better understand vocabulary structure, by showing why we may expect iconicity to show certain universal patterns while systematicity allows more language-specific patterns.
- Sometimes, we may forget that words are not abstract ideas but tools that have their own history. We argue that the way words are learned and used influences their form, and that this may help explain how arbitrariness, iconicity and systematicity pattern the way they do.
- Sometimes, language scientists make far-reaching claims based on studying a small portion of the vocabulary, or a small number of (typically Western) languages. We argue that we can get a better picture of language by looking at a wider range of evidence.
Another extensively revised chapter from my thesis sees the light: Folk definitions in linguistic fieldwork. In which I discuss a procedure that is part of many field work routines, but seldomly appreciated as a method of its own. Abstract:
Informal paraphrases by native speaker consultants are crucial tools in linguistic fieldwork. When recorded, archived, and analysed, they offer rich data that can be mined for many purposes, from lexicography to semantic typology and from ethnography to the investigation of gesture and speech. This paper describes a procedure for the collection and analysis of folk definitions that are native (in the language under study rather than the language of analysis), informal (spoken rather than written), and multi-modal (preserving the integrity of gesture-speech composite utterances). The value of folk definitions is demonstrated using the case of ideophones, words that are notoriously hard to study using traditional elicitation methods. Three explanatory strategies used in a set of folk definitions of ideophones are examined: the offering of everyday contexts of use, the use of depictive gestures, and the use of sense relations as semantic anchoring points. Folk definitions help elucidate word meanings that are hard to capture, bring to light cultural background knowledge that often remains implicit, and take seriously the crucial involvement of native speaker consultants in linguistic fieldwork. They provide useful data for language documentation and are an essential element of any toolkit for linguistic and ethnographic field research.