Sounding out ideas on language, interaction, and iconicity

Mark Dingemanse

Ideophones, like so many things in life, are easy to identify but hard to define. Many researchers have grumbled about the shortcomings of Doke’s descriptive characterization of ideophones (see discussion here), but few have attempted to formulate an alternative. For better or worse, I did,

 1

but it took me a few iterations to arrive at something that I felt worked well enough to be useful in cross-linguistic research.

What’s wrong with “vivid”? The evolution of a definition

One of the benefits of today’s preprint culture is that it is possible to provide constructive critique of pending work before it is out, thereby enabling a rapid cycle of revision before things are committed to print. I have myself benefited from comments on preprints, and have acknowledged such public pre-publication reviews in several of my papers. The below remarks are shared in that spirit.

Pitfalls of fossil-thinking I

Over two years ago I wrote about the unstoppable tide of uninformation that follows the rise of large language models. With ChatGPT and other models bringing large-scale text generation to the masses, I want to register a dystopian prediction.

Monetizing uninformation: a prediction

Writing is thinking. The writing process is the most neglected part of our job. We spend millions on fancy equipment and uncountable hours on training for using this or that toolkit. Yet we assume the BA-level academic writing course we once followed is sufficient; the rest we’ll just learn on the job and hopefully soon we’ll automate away with LLMs. It is all formulaic anyway.

Like anyone active in the space of LLMs and generative AI, I get a growing amount of invitations to speak at conferences and colloquia on something or other LLM-related. A subset of these invites is about the relation between LLMs and academic writing. Recently I had the occasion to respond to such an invite.

Find your own voice: against LLM slop in academic writing

With Times Higher Education writing about citation gaming and hyperprolific authors (surely not unrelated) I hope we can save some of our attention for what Uta Frith and others have called slow science.

Team science is slow science

The closing paragraphs of my previous post were cited in several places (e.g. Culture Making, Far Outliers) as evidence of a cultural revival. Although I feel it is really too soon to say whether this is the case, I’m glad to report that the dirges that we recorded in Akpafu-Todzi are in wide circulation now and are even being played during funerals, to great acclaim.

A cultural revival?

The last time I blindly accepted an invitation to speak was in 2012, when I was invited to an exclusive round table on the future of linguistics at a renowned research institute. As a fresh postdoc I was honoured and bedazzled. When the programme was circulated, I got a friendly email from a colleague asking me how I’d ended up there, and whether I thought the future of linguistics was to be all male.

How to avoid all-male panels (manels)

Today’s dish of expressive vocabulary is particularly tasty. It comes from G|ui, a Khoisan language of Botswana.

 1

To Africanists, expressive words from Khoisan languages are of special interest because Khoisan has been claimed on various occasions to lack ideophones, otherwise thought to be one of those linguistic traits that characterize Africa as a linguistic area (Meeussen 1975:3,

 2

Heine &amp;

Fresh wild melon and meat full of gravy: food texture verbs in G|ui (Khoisan)

The most common use of the term ‘ideophone’ today is as a term for a lexical or grammatical category of words. This use goes back to C.M. Doke, who introduced the term in this sense for the description of Bantu languages. However, Doke did not coin the term. Who did, and how was it used before Doke?

(

 Note:

Looking for a modern definition of the term? Check out “

 ‘Ideophone’ as a comparative concept

” (2019). That chapter supplies the following:

 Ideophone

*. Member of an open lexical class of marked words that depict sensory imagery.* It provides evidence and arguments for the cross-linguistic utility of this definition.) A common term for expressive vocabulary in African linguistics is ‘ideophone’.

On the history of the term ‘ideophone’

Interjections are, in Felix Ameka’s memorable formulation, “the universal yet neglected part of speech” (1992). They are rarely the subject of historical, typological or comparative research in linguistics, and as Aimée Lahaussois has shown (2016), they are notably underrepresented in descriptive grammars. As grammars are the main source of data for typologists, this is of course a perfect example of a self-reinforcing feedback loop.

How should descriptive grammars cover interjections?

A lot of our recent work revolves around working with conversational data, and one thing that’s struck me is that there are no easy ways to create compelling visualizations of conversation as it unfolds over time. The most common form seems to be pixelated screenshots of transcription software not made for this purpose.

Playing with R: unrolling conversation

After much postponement, writing the final report for my NWO Veni grant (2015-2018) turned out to be an unexpected pleasure. It made me realise a couple of things — key among them the role of serendipity in shaping fundamental research. The project was called “Towards a science of linguistic depiction”. Looking at the publications that came out of it and at imperfect indicators like citations, it’s made some useful contributions.

The role of serendipity in shaping fundamental research

DALL-E, a new image generation system by OpenAI, does impressive visualizations of biased datasets. I like how the first example that OpenAI used to present DALL-E to the world is a meme-like koala dunking a baseball leading into an array of old white men — representing at one blow the past and future of representation and generation.

Deep learning, image generation, and the rise of bias automation machines

Some years ago I was following a course by Maarten Kossmann on Tuareg (Tamasheq, Tamajeq, Tamahaq). It was thoroughly enjoyable. After the first lecture we were all alotted a letter of the great

 Dictionnaire Touareg — Français


 1

(a consonant, obviously), and for the remainder of the course these 15 to 40 dictionary pages would form the basis for a number of excercises in the weeks to follow. It was an interesting method;

Expressive verbs in Tuareg

I have been blogging at

 The Ideophone

since 2007, and not all of it has been as ephemeral as my PhD promotor once feared. My short post documenting the etymology of Zotero is apparently the only scientific documentation of where Zotero’s name comes from; it has served as a source in Wikipedia for ages and has received over 15 scholarly citations.

Scholarly blogging, now with DOIs

Large language models make it entirely trivial to generate endless amounts of seemingly plausible text. There’s no need to be cynical to see the virtual inevitability of unending waves of algorithmically tuned AI-generated uninformation: the market forces are in place and they will be relentless.

Large language models and the unstoppable tide of uninformation

PLOS ONE notoriously and astonishingly does not have a proofs stage: authors do not get to see how their work is typeset until the very day it appears. Worse, they have a policy of only correcting formatting errors that they themselves introduce by issuing a formal correction notice — a heavyhanded method that most other journals use only for serious errors of fact or process. Unnecessary corrections hurt authors.

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.

Why PLOS ONE needs page proofs

Travel journals provide some of the first written sources on Akpafu. I have previously posted an excerpt from a 1887 journal by David Asante. This here is an excerpt from a similar journey two years later. The whole journey took three months, but this excerpt relates only a trip to two Akpafu towns on 17-18 December 1889.

A visit to Akpafu by Nicolas Clerk, 1889

Sketches, visualizations and other forms of externalizing cognition play a prominent role in the work of just about any scientist. It’s why we love using blackboards, whiteboards, notebooks and scraps of paper. Many folks who had the privilege of working the late Pieter Muysken fondly remember his habit of grabbing any old piece of paper that came to hand, scribbling while talking, then handing it over to you.

Thinking visually with Remarkable

The oldest written fragments of Siwu found so far come from Rudolph Plehn (1898).

 1

Besides some words and phrases (edited and published in 1899 by his friend Seidel), Plehn took down two lines of songs. To one of them I devoted a post some time ago.

Bingo! Refinding the oldest specimen of Siwu

There is a minor industry in speech science and NLP devoted to detecting and removing disfluencies. In some of our recent work we’re showing that treating talk as sanitised text can adversely impact voice user interfaces. However, this is still a minority position. Googlers Dan Walker and Dan Liebling represent the mainstream view well in this blog post:  Fair enough, you might say.

Sawing off the branch you’re sitting on

Language makes us human. But there is an interesting asymmetry in our willingness to ascribe linguistic capacities to non-humans: animals are seen as having none, whereas computers may well master it according to many. What curious conception of language makes this asymmetry possible? And what do Descartes and Turing have to do with it? Notes from a new essay about language between animals and computers.

Language is what makes us human: one of those things, perhaps

 the

one thing, that sets us apart. But there is an interesting asymmetry in our willingness to ascribe linguistic capacities to non-humans: animals tend to be seen as having none, whereas computers are increasingly thought to have mastered language. This asymmetry is the focus of a recent essay I co-authored with a range of people, led by Marlou Rasenberg.

Language between animals and computers

Few historical maps of Ghana’s Volta and Oti regions have been invested with so much political and sociohistorical meaning as Hans Gruner’s 1913 map of the Togo Plateau. Gruner, stationed for over twenty years at Misahöhe in present-day Togo, was a long-time colonial administrator known for his ethnographical and historical knowledge of the area.

The Gruner Map: a 1913 map of the Togo Plateau in present-day Ghana

This is a the second part in a two part series of peer commentary on a recent preprint. The first part is here. I ended that post by noting I wasn’t sure all preprint authors were aware of the public nature of the preprint. I am now assured they are, and have heard from the senior author that they are working on a revised version.

Pitfalls of fossil-thinking part II

Clark &amp; Fischer propose that people see social robots as interactive depictions and that this explains some aspects of people’s behaviour towards them. We agree with C&amp;F’s conclusion that we don’t need a novel ontological category for these social artefacts and that they can be seen as intersecting with a lineage of depictions from Michelangelo’s David to Mattel’s talking barbie doll. We have two constructive contributions to make.

How robots become social: A comment on Clark &amp; Fischer

The construction of gothic cathedrals like Chartres was governed not by blueprints but by “talk, tradition, and templates” — at least that is what Turnbull has compellingly argued. When you come across such a neatly alliterative triad, there are two ways you can go. You can adopt the terms in an unexamined way and rely on their alliterative power.

Reading Suchman’s classic

 Human-machine reconfigurations: plans and situated actions

, I am impressed by her description David Turnbull’s work on the construction of gothic cathedrals. In brief, the intriguing point is that no blueprints or technical drawings or even sketches are known to have existed for any of the early modern gothic cathedrals, like that of Chartres.

Talk, tradition, templates: a meta-note on building scientific arguments

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.

Slides for a hands-on Zotero workshop

A preprint claims that “ideas from theoretical linguistics have played no role in [NLP]”. Outside the confines of Chomskyan linguistics folks have long been working on  incorporating storage, retrieval, gating and attention in theories of language, with direct relevance to computational models. The only way to give any content to the claim is by giving the notion “theoretical linguistics” the narrowest conceivable reading.

This Lingbuzz preprint by Baroni is a nice read if you’re interested in linguistically oriented deep net analysis. I did feel it’s a bit hampered by the near-exclusive equation of linguistic theory with generative/Chomskyan aps.

Linguistic roots of connectionism

There is a considerable halo-effect attached to JIFs, whereby an article that ends up in a high IF journal (whether by sheer brilliance or simply knowing the right editor, or both) is treated, unread, with a level of veneration normally reserved for Wunderkinder. Usually this is done by people totally oblivious to network effects, gatekeeping and institutional biases.

I’ve been caught up in a few debates recently about

 Recognition and Rewards

, a series of initiatives in the Netherlands to diversify the ways in which we recognize and reward talent in academia. One flashpoint was the publication of an open letter signed by ~170 senior scientists (mostly from medical and engineering professions), itself written in response to two developments.

Why article-level metrics are better than JIF if you value talent over privilege

Wikidata is an ambitious enterprise, but social ontologies are never language-agnostic — so the project risks perpetuating rather than transcending the worldviews most prevalent in current Wikipedia databases, which means broadly speaking global north, Anglo, western, white cishet male worldviews. I think Wikidata is perhaps promising for brute physical facts like the periodic table and biochemistry.

TL;DR

Wikidata is an ambitious enterprise, but social ontologies are never language-agnostic — so the project risks perpetuating rather than transcending the worldviews most prevalent in current Wikipedia databases, which means broadly speaking global north, Anglo, western, white cishet male worldviews. I think Wikidata is perhaps promising for brute physical facts like the periodic table and biochemistry.

Concrete reasons to be skeptical about an ‘Abstract Wikipedia’

I note with sadness that William J. Samarin has passed away in Toronto on January 16, 2020 at the age of 93. An all too short obituary notes that he was “known for his work on the language of religion and on two Central African languages: Sango and Gbeya”.  In linguistics, Samarin was of course also known for his extensive work on ideophones, playful and evocative words with sensory meanings.

Farewell, Mr. Ideophone: William J. Samarin (1926-2020)

Academia.edu takes your academic work and puts it behind a privacy-defying signup form, laces it with ads, botches the metadata, and tries to appease you by offering stats and social ranking that promote constant comparison. What’s not to like?

A while back some low quality citations started showing up on Google Scholar. They had titles like “CHAPTER 2 draft — email xyz@ab.edu” 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.

How Academia.edu promotes poor metadata and plays to our vanity

I have always had a fondness for things considered marginal in linguistics. The tide may be turning for at least some marginalia: work on ideophones is clearly on the rise, and initiatives such as Martina Wiltschko’s Eh lab at UBC and a new nonlexical vocalizations project at Linköping University show there is significant interest in this area.

New!

Some of this is now published here (open access, free for all!): Dingemanse, Mark. 2020.

What is ‘non-lexical’? Notes on non-lexical vocalisations, II

I have always had a fondness for things considered marginal in linguistics. The tide may be turning for at least some marginalia: work on ideophones is clearly on the rise, and initiatives such as Martina Wiltschko’s Eh lab at UBC and a new nonlexical vocalizations project at Linköping University show there is significant interest in this area. Part I from my notes on a workshop on ‘Ideophones and non-lexical vocalizations’.

Last week I was happy to present my work at a workshop on

 Ideophones and nonlexical vocalisations

in Linköping, Sweden, organised by Leelo Keevallik and Emily Hofstetter. This was the kick-off for a new project on “Non-lexical vocalisations”. It was my first time in Linköping and it was great getting to know the vibrant community of interaction researchers from across departments.

A variety of vocal depictions: Notes on non-lexical vocalisations, I

This is the first ever published account of a visit to Akpafu. It was written down by David Asante, a Twi pastor who travelled throughout today’s Volta Region in the company of some white missionaries. The journey took place in January 1887; the date of the visit to Akpafu was January 25th, 1887.

A visit to Akpafu by David Asante, 1887

Words evolve not as blobs of ink on paper but in face to face interaction. The nature of language as fundamentally interactive and multimodal is shown by the study of ideophones, vivid sensory words that thrive in conversations around the world. The ways in which these “Lautbilder” enable precise communication about sensory knowledge has now for the first time been studied in detail.

Words   Few professions should be more familiar with the nature of words than academia. Words are the currency of our trade. They record our cumulative progress and they measure our productivity as we disperse our ideas through articles and books. How easy is it to fall in love with the printed word, black symbols on a white page, tidy spaces separating units of thought like stars dotting the skies of conceptual clarity!

How to paint with language

It’s easy to forget amidst a rising tide of synthetic text, but language is not actually about strings of words, and language scientists would do well not to chain themselves to models that presume so. For apt and timely commentary we turn to Bronislaw Malinowski who wrote:  In follow-up work, Malinowski has critiqued the unexamined use of decontextualised strings of words as a proxy for Meaning:  Malinowski did not write this on his substack,

Malinowski (1922) on Large Language Models

Lezenswaardig: een groep jonge medici ageert tegen de marketing-wedstrijd waarin volgens hen narratieve CVs in kunnen ontaarden — de nieuwste bijdrage aan het Erkennen &amp; Waarderen-debat. Maar niets is wat het lijkt. Over evidence-based CVs, kwaliteit &amp; kwantificatie.

Eerst dit: de brief benoemt het risico dat je met narratieve CVs een soort competitie krijgt tussen verhalen.

Van betekenisloze getallen naar een evidence-based CV

I have other things to do but one day I’ll enlarge on the insidious effects of elevating this cursed little histogram of “Research output per year” as the single most important bit of information about academics at thousands of universities that use Elsevier Pure. Consider this mini-rant my notes for that occasion. Most importantly, we DO NOT write per year. Our careers are too diverse and precarious to measure output that way.

A rant about Elsevier Pure

Will synthetic text generators usher in a new age of creative thinking? The remarkable fluency of large language models may make them interesting tools for rapidly exploring semantic and stylistic spaces, yet the deceptive ease with which they generate output also provides countless new ways of appropriating ideas and erasing authorship.

Human creativity in the age of text generators

Magritte’s best known work by far is of course his drawing of a pipe with the text

 Ceci n’est pas une pipe

. He made several versions over the years, but the work originated in 1928 or 1929. The title Magritte gave to this painting is

 La trahison des images

— the treachery of images.

Magritte on Words and Images (PDF)

Having been a small and quite isolated language for centuries, Siwu was relatively late to attract attention from outsiders. Europeans in search for gold to buy and people to enslave for the most part stayed near the coast.

‘Remnants of some ancient tribal idiom’: deciphering the oldest Siwu to appear in print

One of my projects here at The Ideophone has been to track down early sources on ideophonic phenomena. For example, I have suggested that we may call the 1850’s the decade of the discovery of ideophones in African linguistics. But we can push back the linguistic discovery of ideophones a little further by looking to other traditions.

Aduerbia sonus: Ideophones in two 17th century grammars of Japanese

Zotero takes it name from an Albanian verb minus some morphology.

If you’ve read yesterday’s post (Zotero, an Endnote alternative) or come across Zotero elsewhere, you may have been wondering about its name.

The etymology of Zotero

Featured philologist of today is Joh. Bernhard Schlegel, for providing us with precious data on ideophones (expressives) in nineteenth-century Ewe, a Kwa language of southeastern Ghana.

This is the first post in a series. Featured philologist of today is Joh. Bernhard Schlegel, for providing us with precious data on ideophones (expressives) in nineteenth-century Ewe, a Kwa language of southeastern Ghana. But since this is the first post on ideophones here, let’s first try to answer the obvious question: what are ideophones, anyway?

Early sources on African ideophones, part I: Schlegel on Ewe, 1857

Sigismund Wilhelm Koelle is one of the founding fathers of African linguistics, and 1854 was one of his more productive years: he published the first large-scale comparison of some 200 African languages (the famed Polyglotta Africana), but also a corpus of Kanuri folklore, a grammar of Vai, and a grammar of Kanuri.

It is high time for a continuation of our series honouring the ancestors of ideophone studies. Sigismund Wilhelm Koelle is one of the founding fathers of African linguistics, and 1854 was one of his more productive years.

Early sources on African ideophones, part IV: S.W. Koelle on Kanuri, 1854

We don’t generally see PhD dissertations as an exciting genre to read, and that is wholly our loss. As the publishing landscape of academia is fast being homogenised, the thesis is one of the last places where we have a chance to see the unalloyed brilliance of up and coming researchers. Let me show you using three examples of remarkable theses I have come across in the past years.

Mindblowing dissertations

Google Scholar is useful, 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.

*

 Summary:

Google Scholar is useful, 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.

Some things you need to know about Google Scholar

Knots are fascinating: they tie together topology, embodied experience, and material culture. As Thai textile artist and designer Nithikul Nimkulrath (2024) has pointed out, knots are the kind of thing we come to know “

 through

and

 in

making”. One of her artworks (see photo) explorers the materiality of knots by translating a physical, hand-knotted container into a 3D render.

Tying ourselves into knots about reasoning

Funeral dirges (

 sìnɔ

in Siwu) are sung during the period of public mourning preceding a burial. The musical structures of these dirges, the performances, and their place in the larger context of the funeral have been described in some detail by Agawu (1988) and before him by the German missionary Friedrich Kruse (1911); however, the linguistic aspects of the genre have not received any attention so far.

I thought I had company (a Mawu dirge)

The Ideophone

A lot of our recent work revolves around working with conversational
data, and one thing that's struck me is that there are no easy ways to
create compelling visualizations of conversation as it unfolds over
time. The most common form seems to be pixelated screenshots of
transcription software not made for this purpose. In the Elementary
Particles of Conversations project we're aiming to change that --- see
our [ACL2022 paper](https://aclanthology.org/2022.acl-long.385/) and
stay tuned for updates on `talkr`. Here I want to give a sneak peek into
the kitchen as I experiment with new ways of plotting conversational
structure.

Also, this post is my first time blogging to WordPress directly from
rmarkdown. I'm using the amazing `goodpress` package:
<https://github.com/maelle/goodpress/>.

### Ten minutes of conversation {#ten-minutes-of-conversation .heading}

I'm going to walk through an example of plotting a ten minute stretch of
conversation. We start by loading some sample data. For privacy reasons
I'll use only the timing data. The most important bits here: every
annotation corresponds to a turn at talk by some `participant` with a
`begin` and `end` time in milliseconds. This corresponds to the minimal
flat data format for diarised conversational data we specify
[here](https://aclanthology.org/2022.lrec-1.126/).

::: {.highlight}
``` chroma
extract <- readr::read_csv('sample_conversation.csv',show_col_types = F) %>%
 select(begin,end,duration,participant,uid,nwords,nchar,n,rank,freq,overlap,priorby,FTO,overlapped,talk_all,talk_rel,load,transitions,topturn,focus,scope,participant_int,begin0,end0,participation)

head(extract)
#> # A tibble: 6 × 25
#> begin end duration participant uid nwords nchar n rank freq
#> <dbl> <dbl> <dbl> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1271 3158 1887 A_agent_text hungari… 1 2 84 40 1.29e-6
#> 2 3158 4830 1672 A_agent_text hungari… 4 20 1 112 1.53e-8
#> 3 6221 8150 1929 A_agent_text hungari… 1 7 1 112 1.53e-8
#> 4 7344 8145 801 A_speaker_text hungari… NA NA NA NA NA 
#> 5 8150 9821 1671 A_agent_text hungari… 4 26 1 112 1.53e-8
#> 6 9007 10151 1144 A_speaker_text hungari… 4 17 1 112 1.53e-8
#> # ℹ 15 more variables: overlap <chr>, priorby <chr>, FTO <dbl>,
#> # overlapped <chr>, talk_all <dbl>, talk_rel <dbl>, load <dbl>,
#> # transitions <dbl>, topturn <dbl>, focus <chr>, scope <chr>,
#> # participant_int <dbl>, begin0 <dbl>, end0 <dbl>, participation <chr>
```
:::

We start by setting a few basic parameters that will help us to divide
these ten minutes of conversation into as many lines. Basically, we cut
up the conversational turns by their categorizing `begin` values into
intervals the width of `window_size`.

- `extract_length` (ms): total length of desired stretch of conversation
- `window_size` (ms): length of a single line
- `window_breaks`: integer vector of extract_length divided by
 window_size

::: {.highlight}
``` chroma
extract_length <- 600000 # 10 min
window_size <- 60000 # 1 min
window_breaks <- as.integer(c(0:round(extract_length/window_size)) * window_size)

extract <- extract %>%
 mutate(end = end - min(begin), # reset timestamps to start from 0
 begin = begin - min(begin),
 line = cut(begin,window_breaks,right=F,labels=F)) %>%
 drop_na(line) %>%
 group_by(line) %>%
 mutate(begin0 = begin - min(begin), # reset timestamps to 0 for each new line
 end0 = end - min(begin)) %>%
 ungroup()
```
:::

Now that our `extract` has turns divided into lines, we start with a
regular plot in which the conversation flows from left to right and from
top to bottom. We number the lines so that you can see how turns get
assigned to them.

There's a bunch of things you might note about this plot. We reverse the
y scale because we want the first turns (line 1) to be on top. We plot
the actual turns (or at least their timing) with
[`geom_rect()`](https://ggplot2.tidyverse.org/reference/geom_tile.html).
And there's another layer of items plotted with
[`geom_point()`](https://ggplot2.tidyverse.org/reference/geom_point.html);
these are interjections, one-word turns like *uh-huh* and *yeah*.

::: {.highlight}
``` chroma
plot.base <- extract %>%
 ggplot(aes(y=participant_int)) +
 ggthemes::theme_tufte() + theme(legend.position = "none",
 strip.text = element_blank(),
 axis.text.y = element_blank(),
 axis.ticks.y = element_blank(),
 plot.title.position = "plot") +
 ylab("") + xlab("time (s)") +
 viridis::scale_fill_viridis(option="plasma",direction=1,begin=0.2,end=0.8) +
 scale_y_reverse(breaks=seq(1,max(extract$line,1)),
 labels=seq(1,max(extract$line,1))) +
 scale_x_continuous(limits=c(0,window_size),
 breaks=seq(0,window_size,10000),
 label=seq(0,window_size/1000,10),
 oob = scales::oob_keep) 

plot.simple_grid <- plot.base +
 theme(axis.text.y = element_text()) +
 ggtitle("Ten minutes of conversation",
 subtitle="Points are interjections, time moves left-right and top-bottom") +
 geom_rect(aes(xmin=begin0,xmax=end0,ymin=line-0.5+participant_int/3-0.2,ymax=line-0.5+participant_int/3+0.2), 
 linewidth=0,colour=NA,fill="lightgrey") +
 geom_point(data=. %>% filter(nwords == 1, topturn == 1),
 aes(x=begin0+200,fill=rank,y=line-0.5+participant_int/3),colour="white",size=2,shape=21,stroke=1)
plot.simple_grid
```

![](https://ideophone.org/files/regular_plot-1.png){decoding="async"
style="display: block; margin: auto;" width="700px"}
:::

A grid is boring though. Can we make it more interesting visually? Let's
try a polar plot. One lovely thing about ggplot is that this is as easy
as adding
[`coord_polar()`](https://ggplot2.tidyverse.org/reference/coord_polar.html):

::: {.highlight}
``` chroma
plot.simple_grid +
 coord_polar() 
```

![](https://ideophone.org/files/make_it_polar-1-7.png){decoding="async"
style="display: block; margin: auto;" width="700px"}
:::

### Make it spiral {#make-it-spiral .heading}

It would be much nicer of course if this were a spiral instead of
concentric rings. For that, we're going to have to take a slightly
different approach. Recall that the y coordinate of individual turns is
currently determined by their `line` number. If we want to make the end
of one line meet the beginning of the next, we need a variable that
increments over the `window_length`. Let's call it `line_polar`:

::: {.highlight}
``` chroma
extract <- extract %>% 
 mutate(line_polar = line+((1+begin0)/window_size)) 

# we'll need to update our plot.base with that new dataset
plot.base <- extract %>%
 ggplot(aes(y=participant_int)) +
 ggthemes::theme_tufte() + theme(legend.position = "none",
 strip.text = element_blank(),
 axis.text.y = element_blank(),
 axis.ticks.y = element_blank(),
 plot.title.position = "plot") +
 ylab("") + xlab("time (s)") +
 viridis::scale_fill_viridis(option="plasma",direction=1,begin=0.2,end=0.8) +
 scale_y_reverse(breaks=seq(1,max(extract$line,1)),
 labels=seq(1,max(extract$line,1))) +
 scale_x_continuous(limits=c(0,window_size),
 breaks=seq(0,window_size,10000),
 label=seq(0,window_size/1000,10),
 oob = scales::oob_keep) 
```
:::

We'll also need a line to guide our eyes along the spiral. We make a
grid of points that we can plot as a
[`geom_line()`](https://ggplot2.tidyverse.org/reference/geom_path.html).
We now recreate our plot using the updated dataframe and position the
turns on the `line_polar` variable:

::: {.highlight}
``` chroma
spiral <- expand.grid(seconds = seq(0,window_size,1000), line = 1:max(extract$line))
spiral$line_polar <- spiral$line+(spiral$seconds/window_size)

plot.polar <- plot.base +
 coord_polar() +
 geom_rect(aes(xmin=begin0,xmax=end0,ymin=line_polar-1+participant_int/3-0.2,ymax=line_polar-1+participant_int/3+0.2),
 linewidth=0,colour=NA,fill="lightgrey") +
 geom_line(data=spiral,aes(x=seconds,y=line_polar-0.5,group=line),
 color="darkgrey",linewidth=0.5) +
 geom_point(data=. %>% filter(nwords == 1, topturn == 1),
 aes(x=begin0+200,fill=rank,y=line_polar-1+participant_int/3),colour="white",size=2,shape=21,stroke=1)

plot.polar
```

![](https://ideophone.org/files/make_it_spiral-1-7.png){decoding="async"
style="display: block; margin: auto;" width="700px"}
:::

Cool! It starts to look like a spiral. But wait --- now perhaps the time
dimension doesn't make a lot of sense anymore: it starts at the top and
rolls... inward? It would be nicer if things moved outward, giving a
sense of conversation unrolling. That's as easy as un-reversing the
y-axis (which, you recall, we reversed because in `plot.simple_grid` we
wanted it to run from top to bottom).

We get a warning here for setting the y-axis for a second time but
that's okay.

::: {.highlight}
``` chroma
plot.polar + scale_y_continuous() 
#> Scale for y is already present.
#> Adding another scale for y, which will replace the existing scale.
```

![](https://ideophone.org/files/mark_spiral-1.png){decoding="async"
style="display: block; margin: auto;" width="700px"}
:::

Bonus plot. The `line_polar` trick we use to weld line ends to next line
beginnings is easy to see if we unroll this plot. Commenting out
[`coord_polar()`](https://ggplot2.tidyverse.org/reference/coord_polar.html)
gives us:

::: {.highlight}
``` chroma
plot.base + 
 # coord_polar() +
 theme(axis.text.y=element_text()) +
 geom_rect(aes(xmin=begin0,xmax=end0,ymin=line_polar-0.5+participant_int/3-0.2,ymax=line_polar-0.5+participant_int/3+0.2),
 linewidth=0,colour=NA,fill="lightgrey") +
 geom_line(data=spiral,aes(x=seconds,y=line_polar,group=line),
 color="darkgrey",linewidth=0.5) +
 geom_point(data=. %>% filter(nwords == 1, topturn == 1),
 aes(x=begin0+200,fill=rank,y=line_polar-0.5+participant_int/3),colour="white",size=2,shape=21,stroke=1)
```

![](https://ideophone.org/files/bonus-1-3.png){decoding="async"
style="display: block; margin: auto;" width="700px"}
:::

That's it for today. Note that none of these experimental plots are
proposed as serious scientific visualizations. In particular, the polar
plot has the obvious drawback of deforming time. So really the point of
this blog post is just to test a new workflow for blogging straight from
R, which will be useful if I have more plots and code to share. For more
information on conversational structure and its importance for NLP,
linguistics and the cognitive sciences, check out [Elementary Particles
of Conversation](https://markdingemanse.net/elpaco). Thanks for reading!