The Evolution of Graphic Complexity in Writing Systems Helena Miton, Hans

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The Evolution of Graphic Complexity in Writing Systems Helena Miton, Hans The evolution of graphic complexity in writing systems Helena Miton, Hans-Jörg Bibiko, Olivier Morin Table of Contents A. General summary ................................................................................................................. 3 B. First registration (2018-02-22) ........................................................................................... 4 B. 1. Rationale for the study – Background - Introduction ....................................................... 4 B.2. Materials and Sources ............................................................................................................... 6 B.2.1. Inclusion criteria at the level of [scripts]: .................................................................................... 6 B.2.2. Inclusion criteria at the level of characters ............................................................................... 6 B.3. Measures ....................................................................................................................................... 7 B.3.1. Complexity ............................................................................................................................................. 7 B.3.2. Other characteristics of scripts ...................................................................................................... 8 B.4. Hypotheses and Tests ................................................................................................................. 8 B.4.1. Relationship between scripts’ size and visual complexity ..................................................... 9 B.4.2. Impact of time / invention .............................................................................................................. 10 B.4.3. Stylistic homogeneity ...................................................................................................................... 11 B.4.4. Directionality of Change – addressing Galton’s problem ................................................... 11 B.5. Data Analysis Plan – additional details ............................................................................... 12 C. Second registration — June 4th, 2019 .......................................................................... 12 C.1. Inventory constitution ............................................................................................................. 13 C.1.1. Inventory of scripts ........................................................................................................................... 13 C.1.2. Inventory of characters: special cases ........................................................................................ 13 C.1.3. Changes in Unicode versions ........................................................................................................ 14 C.1.4. Exclusions from the inventory ...................................................................................................... 14 C.2. Generating and processing pictures ..................................................................................... 17 C.2.1. Generating the pictures ................................................................................................................... 17 C.2.2 Image processing ................................................................................................................................ 17 C.3. Change to data collection on scripts’ characteristics and phylogeny ........................... 21 C.3.1. Sources .................................................................................................................................................. 21 C.3.2. Recoding for families ...................................................................................................................... 21 C.3.3. Types of scripts .................................................................................................................................. 21 C.4. Registration of an additional analysis: The shape of complexity distributions .......... 22 C.5. Referencing Chang et al. 2018 ............................................................................................... 23 D. Report and results – April 2020 ..................................................................................... 23 D.1. Erratum ...................................................................................................................................... 24 D.2. Composition of the final dataset and correlation between complexity measures ...... 24 D.3. Results ......................................................................................................................................... 26 D.3.1. Size ........................................................................................................................................................ 26 D.3.2. Invention .............................................................................................................................................. 31 D.3.3. Homogeneity ...................................................................................................................................... 32 D.3.4. Descendants ........................................................................................................................................ 33 D.3.5. Distribution ......................................................................................................................................... 36 References ................................................................................................................................. 39 A. General summary This is our research diary for a study that considers, in an evolutionary light, the visual complexity of the characters that compose the scripts of the world’s writing systems. A script (following the ISO 15924 definition) is "a set of graphic characters used for the written form of one or more languages". Some scripts are used by a variety of writing systems (e.g., the letters of the Latin script are used by the English, Vietnamese, Latin, etc. systems), but many scripts are used by one system only, and individual writing systems are typically compatible with one or a few scripts only. A script, then, is a collection of templates, used to form images which, when combined with a particular writing system, may encode the sound of a natural language. These standardised images go by various names: letters, glyphs, graphemes, signs… here they are called “characters”, following the term used by both ISO 15924 and Unicode. A script, i.e., a series of characters, does not determine what writing encodes, but it determines what writing looks like. Like languages and other cultural traditions, scripts can be transmitted, and they can be transformed, forming lineages shaped by descent, modification, and borrowing. In the course of this evolution some of their visual characteristics may be lost, others strengthened. This study investigates the nature and evolution of visual complexity in the characters of the scripts used by most of the world’s major writing systems. Visual complexity, the amount of information present in an image, can be assessed automatically using two robustly correlated measures (see section B.3.1). We use these two measures to put five hypotheses to the test. A script’s size should influence its letters’ complexity (H1); Idiosyncratic scripts emerging de novo with no clear influence from one single ancestor, should be more complex than scripts continuously derived from another script (H2); A letter’s complexity should be predicted first and foremost by the script that it belongs to (H3); Descendant scripts branching out from an ancestor script should tend to have less complex letters, compared to their ancestor (H4); Within a script, the distribution of complexity values should be skewed towards the low-complexity range: we expect a relatively high number of low-complexity letters, accompanied by fewer complex letters. This research diary will be registered, in its entirety, at each important step of the project, on the Open Science framework (https://osf.io/9dnj3/). This section was created in June 2019, and entered into the second registration. It was appended in April 2020 with a report of the data collection and the results of the pre-registered analyses. B. First registration (2018-02-22) This section constitutes the project’s original registration. It was registered on 2018-02- 22, under the title “Evolution of writing systems and visual complexity”, and can be consulted at https://osf.io/dh4wg. It was authored by Helena Miton, Hans-Jorg Bibikó, and Olivier Morin. The changes made in June 2019, between the first ad the second registration, are signaled in blue and between brackets and the reason for the changes is given in the next section (C). Section numbers have been changed. We also harmonized the vocabulary to remove potential sources of confusion. The original text used “writing system” and “script” interchangeably: “script” was substituted for “writing system” whenever warranted. We also use the same word, “character”, to refer to what the original named letters, glyphs, characters, etc. Typos and incorrect references were corrected too. B. 1. Rationale for the study – Background - Introduction Human visual signs, including written communication, have evolved to satisfy evolutionary pressures for easy processing by the human visual system. Pelli et al.
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