Search

How can NLP technologies be applied and measured on pre-modern documents? Based on a large handwritten dataset from the tower of Bern, we tested available language models and taggers, showcasing that specific forms of representation and identification need to be found. Relying on cooperation to further improve information retrieval.

Graph Literary Exploration Machine (GoLEM) is a new web-based application for literary scholars. The tool allows for named entity relationship analysis, terminology mining, and topic modeling. A strong emphasis is put on the visualisation of results as graphs, time series, maps or scatter plots.

The Digital Linguistic Atlas of Scotland is a digitization and reanalysis of the lexical section of the Linguistic Atlas of Scotland. The tool offers dynamic and costumizeable maps and aims to showcase the opportunities of the digitization of analogue linguistic research data.

The TEITOK REST API lets you interact with your corpus remotely - to upload documents in various formats - automatically converted to TEI/XML; to render search results; to run an NLP pipeline on the server; or download the content of corpus document, treat that content locally with local NLP tools or manual annotation tools, and then upload the results back to the server, where the new or corrected annotations will be incorporated into the original TEI/XML document without destroying any of the potentially complex annotations already in the document.

The aim of this poster is to provide an overview of the work carried out in the CLS INFRA project and its conclusions for the field of Computational Literary Studies.

This 3-hour workshop will introduce span categorization as a method for the machine-annotation of text for various research tasks in the digital humanities. Participants will gain a conceptual understanding of how span categorization differs from entity recognition and complete practical exercises to train a spaCy span categorizer on the LitBank dataset.

Humanistic NLP articulates the multiple challenges facing interactions between NLP and humanities research and offers solutions to bridge this gap. Not merely an application of NLP in DH, it should be considered as an opportunity to engage more humanist scholars in the development and critical appraisal of NLP language resources.

This study teases out gender-specific linguistic features in fiction writing by carrying out a stylometric analysis of 81 Spanish novels written between 1840 and 1919.

The current study investigates characters' words in the oldest extant Japanese novel The Tale of Genji, which was written in the 11th century during the Heian period (794-1192), by utilizing correspondence analysis.

The poster/presentation demonstrates a web-based search tool for the Index of Middle English Prose, built using the SRILM language modelling toolkit, which is capable of handling variation in spelling, syntax and lexicon inherent to a prestandardised vernacular such as Middle English.

The use of computational approaches with legacy catalogue descriptions enables new insights into their authors' historical perspectives, and provides the means for their evaluation and transformation into contemporary online catalogue records. I discuss my computational research with the historical catalogues of the British Library collection of pre-1500 published books.

The poster presents a new software for semi-automatic stylometric analysis of poetry, especially Polish accentual-syllabic verse poetry. Starting from the versological and phonetic analysis of each verse, the program helps to establish the mood of a given poem based on the characteristic and number of phones constructing the text.

The scarcity of machine-readable corpora for Egyptian hieroglyphic texts hinders the digital study of ancient Egyptian texts. Computer-assisted transliteration of the texts will speed up producing such texts and the first step is to find word-boundaries. We present a method for the automatic segmentation of hieroglyphic texts.

Morphological analysis is an indispensable tool for analyzing Japanese text, but it is difficult for ordinary humanities researchers to set up an environment and perform analysis from the command line. Therefore we have developed WebChamame, an online tool that allows users to perform morphological analysis using multiple period-specific UniDic dictionaries.

This paper presents the results of a study evaluating the feasibility of automatic acquisition of small-scale diachronic Latin corpora for linguistic research. The study was conducted on a collection of Neo-Latin works composed by Polish authors, using tools for automatic segmentation (Kraken) and text recognition (Calamari OCR).

The panel has as its focus how collaboration in and implementation of DH methods has opened up a) new knowledge networks in the (conservative) field of Pietism and Religious History and b) transformed understandings of traditional disciplinary structures and hierarchies.

This paper contributes to the assessment of various – possibly impacting – factors during the collection of ground truth data for training HTR-systems. By scrutinising different parameters (e.g. scribal hands, handwriting styles, spelling profiles, textual genres, etc.) we will report on the impact of various train-target combinations.

Traditionally, two approaches have developed in dialectology that focus on researching lexical variation: on the one hand, dialect dictionaries, whose task is to document dialect vocabulary; on the other hand, dialect atlases, whose focus is on linguistic-geographical variation in dialect vocabulary. The Wörterbuch der bairischen Mundarten in Österreich (WBÖ), a long-term project of the Austrian Academy of Sciences (ÖAW), is an undertaking of the first type. Until 2015, the first five volumes (A–Ezzes) were published as printed works; since 2018, the Lexikalisches Informationssystem Österreich/Lexical Information System Austria (LIÖ) has served as the publication platform for the articles starting with the letter F. LIÖ is a cooperation project between the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) of the ÖAW and the FWF Special Research Programme German in Austria (DiÖ) of the University of Vienna. At the moment, the information system only contains content related to the WBÖ project itself. As a lexically oriented platform, however, its content is to be expanded in the coming years, i.e. lexical material from other corpora is also to be made accessible via it. A first expansion of LIÖ will take place in October 2022 with the pilot study DWA Austria, a cooperation project between the Research Center Deutscher Sprachatlas (DSA) of the Philipps University of Marburg and the Department of Linguistics of the ACDH-CH. Within the framework of this cooperation, the entire Austrian surveys of the Deutscher Wortatlas/German Word Atlas (DWA) are to be digitally processed for the first time. Last but not least, the project will serve to expand the paradigm for researching lexical variation described above to include a dialect-geographical component. In this collaboration, the Marburg team will provide the high-resolution scans of the DWA surveys. The team in Vienna is building a model for automatic transliteration on this basis with the help of the Transkribus software, which in turn can be used by the DSA team for the German DWA sheets. The surveys for the DWA were conducted indirectly between 1939 and 1942 and are still among the most comprehensive surveys of the 20th century. Questionnaires were sent to a total of about 50,000 places, 3,700 of which are in the territory of the Republic of Austria. Since previous automatic text recognition methods (i.e. OCR) have only provided insufficient results, the questionnaires, which were mostly handwritten, had to be laboriously transliterated manually. The recent use of artificial intelligence (AI) has been showing promising results for several years. With the help of the Transkribus platform, the Austrian DWA questionnaires are now being captured and made usable as part of a pilot study. Unlike conventional OCR products, Transkribus uses artificial intelligence (AI) to convert the written content of digital records into searchable text. The scans of the DWA sheets were made by the DSA and made available to the ACDH-CH. There, in a first step, they manually transliterate a set of scanned sheets. This step can be supported by already existing models that are, for example, tailored to German Kurrent script. Based on these correct transliterations and the corresponding scans, a model can now be built with the help of Deep Learning that is tailored to the document type. The layout of the text is also taken into account. First models on the minimum amount of training material still showed a rather high error rate (CER Val. 9.4) and have been continuously improved since then. The pilot study DWA Austria shows how data sets that could previously only be used to a limited extent due to time-consuming and costly efforts can now be opened up by AI-supported methods to an extent that would not have been possible with conventional methods. In particular, the example shows how the respective expertise of the individual project partners can bring about a significant increase in efficiency and thus once again illustrates the potential for synergies that result from cooperation. Bibliography: DiÖ = SFB German in Austria. URL: https://www.dioe.at/en/ [2023-05-01] DSA = Forschungszentrum Deutscher Sprachatlas. URL: https://www.uni-marburg.de/en/fb09/dsa [2023-05-01] DWA = Mitzka, Walther & Ludwig Erich Schmitt. 1951 – 1980. Deutscher Wortatlas. Gießen: Schmitz LiÖ = Lexikalisches Informationssystem Österreich. URL: https://lioe.dioe.at/ [2023-05-01] Transkribus. AI powered Handwritten Text Recognition. URL: https://readcoop.eu/transkribus/ [2023-05-01] WBÖ = Österreichischen Akademie der Wissenschaften. 1970 – 2015. Wörterbuch der bairischen Mundarten in Österreich. Wien: Verlag der Österreichischen Akademie der Wissenschaften.

Replication studies are generally considered an important way of checking the generalizability of research results. However, in the humanities they are still comparatively rare. We argue that data-driven studies in particular are in need of replication and demonstrate the need in a case study on German academic language.

I will present the project of building a database of historical Polish lexicons. The most important dictionaries with Middle Polish material will be digitized in steps: HTR recognition, XML tagging, morphosyntactic tagging. We intend to prepare the API that could be connected with sources of Middle Polish or Latin used in Poland.

Our goal is to collect the sounds of Hebrew and to make them accessible for linguistic studies and cultural heritage preservation. Our presentation is focused on the pipeline we have developed and on two main tools that we have developed for it: 1. A Hebrew sound parser and 2. The database platform.

In this stylometric study, the oeuvre of the Swedish author Henning Mankell is scrutinized and compared to the Dutch translations of his work to find out to what extent the style is influenced by the translator. The main method used is Burrows' Zeta as proposed by Rybicki (2012).

At present there is no way to search the corpus of Greek papyri for lemmas, or to search for specific grammatical forms of a word. Much less is there a way to search for examples of a grammatical category. Polyphemus comes to solve these shortcomings, and some more. For this purpose we have processed all the papyrus texts from PapyInfo (). This processing is done at the same time as the processing that results in the Callimachus database, which we also present at this DH Congress Congress. I summarize below the procedure by which we obtain our database Polyphemus. A) First we analyze each line of papyrus and differentiate the actual full words from the gaps or non-textual elements. B) Then we identify the complete words and separate them from the fragments. This can sometimes be done because of the editorial criteria used in the original edition, before digitizing. Other times it is necessary to check if the text meets some of the external qualities that define a word in ancient Greek (presence of accentuation, etc.). C) We then proceed to lemmatize each of the words, and determine to which part of speech it corresponds, and what is its morphological analysis. All this is done with the help of the Madrid list, which I will discuss below. For text fragments (incomplete words), we try to see if they can be ascribed to a root. We also separate proper nouns from common nouns. D) Lemma assignment and POS-tagging is performed in two phases. In a first pass we tag the forms with the highest frequency of occurrence. We calculate this from the frequency with which lexical forms were tagged in several manually annotated treebanks (over 700,000 words). We then go on to label all the remaining forms using the Madrid Wordlist. The Madrid Wordlist incorporates information about the dialect in which a form appears, so in case of multiple possible analyses we prefer those belonging to Koine (the Greek form of Papyri Greek) or Attic Greek. Naturally this procedure has the consequence that we reduce the number of multiple analyses for the same form (thus drastically reducing the number of false positives) in exchange for losing the correct POS- tagging for low-frequency forms that coincide with high-frequency ones. E) All this information is transferred to a SQL database, and put in relation with the data on the papyri that we have obtained when creating the Callimachus database. In this way, for each lexical form we obtain a lemma, a non-disambiguated morphological analysis, and a translation or gloss. Each of these parameters can be searched in combination with the more than fifty categories available to us thanks to Callimachus, such as date, origin, category, extension, subject, etc. To date, we have been able to analyze 97% of the complete words, including proper names, which are very numerous. 4. The Madrid Ancient Greek Word List The lemmatization and analysis in Parts Of Speech (POS tagging) is performed by comparing each record in our database with the records of a word list that we have created over the last 3 years, which we have called the Madrid Ancient Greek Wordlist. Most of the Ancient Greek wordlists are evolutions, simplifications, or improvements from the Morpheus list developed by Gregory Crane between 1984 and 1990 (Crane 1991; Celano et al. 2016). Our list also starts with Morpheus, but has been enriched with our own treebank (Aristarchus Treebank, 200,000 words; cf. Riaño 2006), and almost 100,000 proper names from The Lexicon of Greek Personal Names and the Trismegistos repository of papyrological and epigraphic resources. All these data were processed to obtain morphological information. I have manually entered several hundred (mostly irregular) pronominal forms in this list. To complete this list I have processed the digital version of the Greek-English Lexicon of Liddell-Scott-Jones, and extracted all the nominal lemmas; then I have determined the declension of each one of them, and I have proceeded to decline each lemma in its Attic and Ionic form by means of a program we have developed. Then we search for each of these forms in the papyri. The program thus produces over 600,000 lexical forms (many of them already in the Morpheus list). The lemmas are then assigned a translation, or rather a gloss

VedaWeb is an established research website for the ancient Vedic text Rigveda. It now evolves into an open collaborative platform for researching and sharing Vedic Sanskrit language data in a broader perspective. How will the new platform stimulate collaborative processes among researchers of Vedic Sanskrit and beyond?

Humanities textual data is full of references to persons and locations given in various languages. Researchers want to perform queries to retrieve data, in which a certain place or a person is mentioned, irrespective of the language of the text. In this paper, I present how we automatically extract named entities (geolocation information and person references) from textual data and homogenize and store them as Linked Open Data (LOD) with unique identifiers such as the GeoName ID and the GND (Gemeinsame Normdatei) number. Then the plain references in the text are substituted with standoff links to the corresponding RDF resources and the textual document is stored in RDF format. This enables humanities scholars to perform advanced SPARQL queries to collect textual resources containing specific references regardless of the language of the text. Furthermore, the relations between these named entities can be parsed from the text based on ontology definition, dependency graph of sentences, and POS tags to be added to the knowledge graph. Since the citability of the information is crucial for humanities research, this workflow adds the metadata regarding the source document of extracted information to the edges of the knowledge graph using RDF-star. This allows queries for documents containing a certain relationship between entities through SPARQL-star.

The proposed poster gives an overview on the Gloss-ViBe project which analyses the early medieval Celtic and Latin glosses found in the fragmentory manuscript Vienna, Österreichische Nationalbibliothek, Codex 15298 (olim Suppl. 2698) from different angles including digital humanities, philology and linguistics.

We present the design and implementation of an NLP pipeline for historical Austrian German (Nestroy's comedies, 1827-1862) including transcriptions of dialectal data. Lacking suitable training data, we created a meta-model that compares the predictions of existing models trained on Modern Standard Germany-German corpora, and calculates a compromise between them.

Since CATMA version 6.0 project data can be accessed in the form of Git repositories. A Python library which enables easy access to this data was developed at the department of Digital Philology at the Technical University of Darmstadt. It makes it possible to further process annotations using established and popular Python data science tools. The poster will serve as a kind of instruction manual for the use of the CATMA Git Access and the Python library.

This paper offers an understanding of the multilayered methodological framework developed and implemented to carry out a Digital Humanities project. The latter classified systematically visuo-linguistic features in contemporary tourism narratives by means of data-driven tagging models, annotations and statistical measurement of the frequency and variance of strategies across digital channels.

Our Heritage, Our Stories is a collaboration between the University of Glasgow, University of Manchester, and The National Archives, changing how digital content amongst UK communities is collected and curated. This poster outlines project goals, methods, and progress, and showcases new humanities research stories that it will make possible.

The DiÖ Sprachatlas tool is a dynamic map creation tool which uses the corpus of a large-scale variationist linguistics project as its source. By utlizing an API, it creates maps on negligible cost. Additionally, it offers a method of making the total corpus transparent and accessible.

This hands-on half-day tutorial aims to explore the potential of the ParlaMint corpora – openly available collections of parliamentary records, which are uniformly sampled, annotated and rich in individual speaker and institutional group metadata. We show how the resource facilitates research into specific European parliaments and allows for transnational comparisons.

Can we use NLP to extract information about long-dead languages from secondary sources more than a millennium old? This presentation explores the curation of a dataset based on the Jingdian Shiwen (c. 583), a monumental commentary including over 50,000 phonological annotations on ancient Chinese texts.

Our strategy to support filtering the descriptive texts and the transcriptions in Monasterium.net seeks to assign semantic categories for the legal acts they record, such as confiscation, donation, or property sale.

CreoPhon is a pilot database that, for now, only includes Portuguesebased creoles (CreoPhonPt). Its mission is to collect sound phonological data about these languages systematically, to put together a findable, accessible, interoperable, and reusable dataset, and to, by using these data, produce studies that describe so-called "creole phonology" and spread it among the scientific community and the general public.

The increased use of digital methods and tools has been steadily gaining momentum in all areas of life and work since the beginning of the COVID-19 pandemic. Extended methods of data processing and analysis could also be developed and applied in linguistics. In this paper we report on lexical and morpho-pragmatic analyzes of linguistic aspects related to the COVID-19 pandemic in two German corpora.

This panel is about a DH education project in Korea. The goal is to collaborate in developing DH classes that cross individual universities and are open to participating institutes. We will present the overall design of this project, outline four subjects to be developed, and seek advice from overseas experts

We aim to introduce a comprehensive workflow for the enrichment and linking the metadata of a literary corpus, including an implementation of FAIR principles, which have been developed in the field of scientific data management. We will present the practical application of the workflow using a corpus of Polish novels.

About representing characters in text. We present an analysis of pronouns, nouns and names in Norwegian novels. The purpose is to arrive at a discourse representation of texts, in terms of characters and their relationships and properties. We use the Norwegian national library and its digital resources for this purpose.

This poster proposal presents a project whose results are the linguistic annotation of ancient Greek bibliographic references with a focus on Named Entity Recognition related to author names and work titles, in order to produce new dynamic text-based tools that are not available in existing indices and catalogs.

Digital editions, text collections, and lexical resources each have their own tradition in the (digital) humanities and at the same time, the data domains also share common methods and practices of indexing, modeling, and analysis. The Text+ consortium in the German National Research Data Infrastructure (NFDI)is dedicated to the handling of research data in the three aforementioned research domains and is exploring methods and practices of cross-domain use of datasets and the resulting collaboration between research fields. The poster shows the connections between the three data domains in Text+ using a concrete example: the edition of letters by the German writer Jean Paul (Jean Paul Friedrich Richter, 1763–1825) of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW). The poster was accepted and presented at the DH2023 conference in Graz.

This workshop will discuss the field of stylometry and authorship attribution, and its application to the development of legal evidence. Workshop participants will be invited to participate in a discussion of the development of consensus standards to help improve reliability and to permit evaluation of proposed stylometric evidence.

© 2017 The Authors. Developmental Science Published by John Wiley & Sons Ltd. Analogical reasoning, or the ability to find correspondences between entities based on shared relationships, supports knowledge acquisition. As such, the development of this ability during childhood is thought to promote learning. Here, we sought to better understand the mechanisms by which analogical reasoning about semantic relations improves over childhood and adolescence (e.g. chalk is to chalkboard as pen is to…?). We hypothesized that age-related differences would manifest as differences in the brain regions associated with one or more of the following cognitive functions: (1) controlled semantic retrieval, or the ability to retrieve task-relevant semantic associations; (2) response control, or the ability to override the tendency to respond to a salient distractor; and/or (3) relational integration, or the ability to consider jointly two mental relations. In order to test these hypotheses, we analyzed patterns of fMRI activation during performance of a pictorial propositional analogy task across 95 typically developing children between the ages of 6 and 18 years old. Despite large age-related differences in task performance, particularly over ages 6–10 but through to around age 14, participants across the whole age range recruited a common network of frontal, parietal and temporal regions. However, activation in a brain region that has been implicated in controlled semantic retrieval – left anterior prefrontal cortex (BA 47/45) – was positively correlated with age, and also with performance after controlling for age. This finding indicates that improved performance over middle childhood and early adolescence on this analogical reasoning task is driven largely by improvements in the ability to selectively retrieve task-relevant semantic relationships.

Objective: To investigate the presence of syntactic impairments in native language in Parkinson’s disease. Methods: Twelve bilingual patients, with Friulian as their first language (L1) and Italian as their second (L2), with Parkinson’s disease and 12 normal controls matched for age, sex, and years of schooling, were studied on three syntactic tasks. Results: Patients with Parkinson’s disease showed a greater impairment of L1 than L2. Conclusions: These findings provide evidence of greater basal ganglia involvement in the acquisition and further processing of grammar in L1 v L2 possibly due to a major involvement of procedural memory in representing L1 grammar.