Preface

RDHum 2019, the Research Data and Humanities Conference, takes place August 14–16, 2019 at the University of Oulu, Finland. RDHum 2019 is jointly organised by the University of Oulu and the University of Jyväskylä, in collaboration with FIN-CLARIN and The Language Bank of Finland. The event is the first in the series of conferences taking place biennially in one of the universities within the FIN-CLARIN Consortium. The first RDHum Conference is hosted by the University of Oulu, where the Oulu Corpus, a comprehensive and widely used digital research resource at the time, was collected and compiled in a project led by professor Pauli Saukkonen 50 years ago.

Digital resources and technology are used more and more within the humanities and the social sciences. Researchers in digital humanities gather, administer, share and study rapidly accumulating digital resources. They also need various research methods and tools in analysing these resources. The conference Research Data and Humanities gathers researchers around these themes, and the scientific program of the Conference includes numerous topics related to digital data, digital methods and analysis in the Humanities. In this first Conference, the subjects of the presentations, posters and workshops come from several disciplines, such as linguistics, literary studies, computer science and information science. Thus the languages and societal phenomena under study, data and methods vary widely in the conference.

The peer reviewed articles published in these proceedings are grouped into three categories according to their main focus: data, methods and tools. New data and corpora are presented in the following papers: Kurki et al. present Digilang, a joint venture to combine six different digital corpora. The corpora represent different kinds of data in various modalities. Ijaz seeks to determine editions analytically from bibliographic metadata. Lahti et al. describe the use of bibliograpghic data science in the study of bibliographic metadata collections. Pääkkönen presents challenges the end-user face with digital presentation systems and discusses the issues relating to metadata. Salonen et al. describe the collection and process of establishing the Corpus of Finlands Sign Language. They a lso discuss the storage, metadata and publication of the corpus. Jauhiainen presents Wanca in Korp, a sentence corpus for under-resourced Uralic languages and the process how the corpus was collected.

New methods for digital humanities are presented in the following papers: Laippala in her paper discusses how to classify texts collected from the internet by means of automatic identification. Ryynänen and Hyyryläinen analyze the concept of Digital Humanities and propose a concept of “practical digital humanities” for describing research utilising a humanist approach to practical problem solving with digital technology development in the digital humanities context. Mikhailov compares texts by their frequency lists. He uses two different types of frequency word lists, unlemmatized and lemmatized, to conduct an experiment with. He observes the different outcomes of the two lists in the experiment. Ivaska presents an analysis of machine learning to identifying translated and non-translated Finnish texts and how to identify the source language of the translated text. Drobac and Linden discuss the issues relating to optical character recognition (OCR) in historical newspaper and journal text and assert that font families need to be recognized. They present an experiment relating to recognizing text in two different fonts. Cohrs and Petersen propose experimental methods of guessing a persons political party based on his tweets. Ijaz presents possibilities of analytical determination of editions from bibliographic metadata. Pääkkönen, Kettunen and Kervinen discuss findings made from user observations in searching digitized serial publications

The following papers introduce new tools in digital humanities: Kettunen presents an analysis of semantic annotation of texts in the context of other automated tools for analyzing languages. He introduces a new tool, FiST, that has been developed to annotate semantically texts in Finnish. Huttunen describes digital games in reinforcing linguistic and socioemotional skills of children with communicative disabilities. She describes the properties of two versions of the game Tunne-etsivät and collection of research data from the users of the game.

We gratefully acknowledge the financial and technical support from The Federation of Finnish Learned Societies, FIN-CLARIN consortium, The Language Bank of Finland, and the Universities of Oulu and Jyväskylä, and the city of Oulu, which made this event possible. We would also like to thank all the members of the FIN-CLARIN steering group, the members scientific and organising committees and the local students in the University of Oulu who encouraged to organize this event and worked hard to make this conference a reality. Finally we wish to thank all reviewers for their work and the Faculty of Humanities for agreeing to publish proceedings in Studia Humaniora Ouluensia.

Jarmo Harri Jantunen (chair), Sisko Brunni, Niina Kunnas, Santeri Palviainen and Katja Västi

Table of contents Preface Table of contents I Data Analytical determination of editions from bibliographic metadata. Ali Zeeshan Ijaz, Mikko Tolonen, Leo Lahti and Iiro Tiihonen

Wanca in Korp: Text corpora for underresourced Uralic languages. Heidi Jauhiainen, Tommi Jauhiainen and Krister Lindén

Digilang – Turun yliopiston digitaalisia kieliaineistoja kehittämässä. Tommi Kurki, Nobufumi Inaba, Annekatrin Kaivapalu, Maarit Koponen, Veronika Laippala, Christophe Leblay, Jorma Luutonen, Maarit Mutta, Markku Nikulin ja Elisa Reunanen

Best Practices in Bibliographic Data Science. Leo Lahti, Ville Vaara, Jani Marjanen and Mikko Tolonen

Digital heritage presentation system development + new material types: early findings. Tuula Pääkkönen

Suomen viittomakielten korpusta rakentamassa. Juhana Salonen, Anna Puupponen, Ritva Takkinen ja Tommi Jantunen

II Methods

Guessing a tweet author’s political party using weighted n-gram models. Enum Cohrs and Wiebke Petersen

Optical font family recognition using a neural network. Senka Drobac and Krister Lindén

Distinguishing translations from non-translations and identifying (in)direct translations’ source languages. Laura Ivaska

From bits and numbers to explanations – doing research on Internet-based big data. Veronika Laippala

The Extent of Similarity: comparing texts by their frequency lists. Mikhail Mikhailov

Search options used in digitized serial publications – observational user data and future challenges. Tuula Pääkkönen, Kimmo Kettunen and Jukka Kervinen

Border crossing and trespassing? Expanding digital humanities research to developing peripheries with the novel digital technologies. Toni Ryynänen and Torsti Hyyryläinen

III Tools

Tutkimusaineiston kerääminen ja analysointi monipuolisia digitaalisia keinoja hyödyntäen. Esimerkkinä Tunne-etsivät-tutkimushankekokonaisuus. Kerttu Huttunen

Kirjoitetun nykysuomen automaattisesta semanttisesta merkitsemisestä. Kimmo Kettunen