https://ojs3.uni-passau.de/index.php/calcip/issue/feedComputer-Assisted Language Comparison in Practice2024-10-29T10:27:50+00:00Johann-Mattis Listmattis.list@uni-passau.deOpen Journal Systems<p>Computer-Assisted Language Comparison in Practice offers tutorials and discussion notes devoted to the topic of computer-assisted approaches to language history and diversity. The tutorials cover a broad range of topics, ranging from introductory notes on programming, via examples for data-sharing and re-use, up to code examples for complex analyses using software like Python and R.</p>https://ojs3.uni-passau.de/index.php/calcip/article/view/343Generating Phonological Feature Vectors with SoundVectors and CLTS2024-07-30T12:36:35+00:00Arne Rubehnarne.rubehn@uni-passau.de<p>The recently published Python library soundvectors offers a simple and robust method to derive phonological feature vectors for any valid IPA sound via its canonical description. It is designed to interact neatly with the Cross-Linguistic Transcription Systems reference catalog (CLTS), which dynamically parses valid strings in phonetic transcription to describe speech sounds. This study illustrates how both systems can be used together to generate phonological feature vectors for all kinds of sounds without relying on a previously defined lookup table. Additionally, it compares the generated feature vectors with those obtained from two other prominent databases, PanPhon and PHOIBLE, showing how those systems can be accessed from the CLTS data via its Python API pyclts.</p>2024-08-05T00:00:00+00:00Copyright (c) 2024 Copyright remains with the author.https://ojs3.uni-passau.de/index.php/calcip/article/view/347Preparing Acoustic Pitch Data for Computational Analysis and Presentation2024-09-24T11:10:42+00:00Kellen Parker van Damkellenparker.vandam@uni-passau.de<p>Pitch plays an important role in many linguistic systems. It is the primary set of features which determine vowel quality distinctions as well as forming the basis for intonation and contrastive tone systems. Unfortunately, much of the literature has relied on approaches to presenting and analysing pitch data that can result in a lack of data transparency, reproducibility, and analytical robustness. These issues are easily solved through the selection of a more appropriate scale for pitch values. This study presents the issues with using raw pitch data as Hertz values some historical efforts to resolve these issues, and two more appropriate solutions than some of the more widely used systems, with a way to easily calculate these alternative systems in a short Python script.</p>2024-10-07T00:00:00+00:00Copyright (c) 2024 Copyright remains with the author.https://ojs3.uni-passau.de/index.php/calcip/article/view/352Typing Special Characters as a Key Skill for Linguists2024-10-29T10:27:50+00:00Johann-Mattis ListMattis.List@uni-passau.de<p>Most linguists have to type special characters that are not available on an ordinary keyboard on a regular basis. Reflecting about the general problems involved in typing special characters, I review different solutions and argue that linguists should not only be able to type special characters on their computers, but that they should also have some basic knowledge about their technical aspects and know how to expand and customize them. In order to improve the training of young scholars, it is important to discuss special character typing more openly in linguistics, especially in the classroom and with doctoral students, sharing individual solutions openly.</p>2024-11-04T00:00:00+00:00Copyright (c) 2024 Copyright remains with the author.https://ojs3.uni-passau.de/index.php/calcip/article/view/344Adding Standardized Transcriptions to Panoan and Tacanan Languages in the Intercontinental Dictionary Series2024-08-07T06:22:58+00:00John Millerivorydragonspiral@gmail.comJohann-Mattis ListMattis.List@uni-passau.de<p>In this study, we illustrate how standardized phonetic transcriptions can be added to the data for Panoan and Tacanan languages provided by the Intercontinental Dictionary Series. The result is presented as a new dataset that keeps reference to the original data and adds phonetic transcriptions for each word form in Panoan languages, Tacanan languages, as well as Spanish and Portuguese.</p>2024-09-02T00:00:00+00:00Copyright (c) 2024 Copyright remains with the author.https://ojs3.uni-passau.de/index.php/calcip/article/view/341Converting an Artificial Proto-Language into Data for Testing Computational Approaches in Historical Linguistics2024-07-14T12:58:39+00:00Johann-Mattis ListMattis.List@uni-passau.de<p>This small study shows how data for an artificially created language that was supposed to reflect features of "proto-languages", predating modern languages by several thousand years, can be used in testing computational approaches in historical linguistics. In order to do so, computational workflow is described that retrieves the data automatically, creating a comparative wordlist compatible in format with software tools for historical linguistics, and then uses a baseline method for automatic cognate detection to compare an artificial language against a sample of Indo-European languages. The results show that artificial languages might help to fill a gap in testing that has so far been ignored in the literature.</p>2024-07-17T00:00:00+00:00Copyright (c) 2024 Copyright remains with the author.