The INF project will support and develop data collection, processing, analysis, curation and storage to effectively turn the data collected by the projects in the CRC into useful resources. It is primarily designed as an infrastructure and service project, but the infrastructure and service needs cannot be addressed without substantial original research in the relevant areas. INF will serve this dual role, supporting and training other CRC personnel in data management and statistical analysis and actively developing and refining existing methods and tools.
Material und Templates
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Publications & Presentations
Lüdeling, Anke; Lukassek, Julia; Akbari, Roodabeh (2023) Guidelines for the Morphological Annotation of Nouns in the Falko Learner Corpus In: REALIS: Register Aspects of Language in Situation [DOI] [ViVo]These guidelines describe the annotation of different types of nominal word forma-
tion in German. We also report on the evaluation of these guidelines in the Falko
Pescuma, Valentina Nicole; Serova, Dina; Lukassek, Julia; Sauermann, Antje; Schäfer, Roland; Adli, Aria; Bildhauer, Felix; Egg, Markus; Hülk, Kristina; Ito, Aine; Jannedy, Stefanie; Kordoni, Valia; Kühnast, Milena; Kutscher, Silvia; Lange, Robert; Lehmann, Nico; Liu, Mingya; Lütke, Beate; Maquate, Katja; Mooshammer, Christine; Mortezapour, Vahid; Müller, Stefan; Norde, Muriel; Pankratz, Elizabeth; Patarroyo, Angela Giovanna; Plesca, Ana-Maria; Ronderos, Camilo R.; Rotter, Stephanie; Sauerland, Uli; Schulte, Britta; Schüppenhauer, Gediminas; Sell, Bianca Maria; Solt, Stephanie; Terada, Megumi; Tsiapou, Dimitra; Verhoeven, Elisabeth; Weirich, Melanie; Wiese, Heike; Zaruba, Kathy; Zeige, Lars Erik; Lüdeling, Anke; Knoeferle, Pia; Schnelle, Gohar (2023) Situating language register across the ages, languages, modalities, and cultural aspects: Evidence from complementary methods In: Frontiers in Psychology [DOI] [ViVo]In the present review paper by members of the collaborative research center ‘Register: Language Users’ Knowledge of SituationalFunctional Variation’ (CRC 1412), we assess the pervasiveness of register phenomena across different time periods, languages, modalities, and cultures. We define ‘register’ as recurring variation in language use depending on the function of language and on the social situation. Informed by rich data, we aim to better understand and model the knowledge involved in situation- and function-based use of language register. In order to achieve this goal, we are using complementary methods and measures. In the review, we start by clarifying the concept of ‘register’, by reviewing the state of the art, and by setting out our methods and modeling goals. Against this background, we discuss three key challenges, two at the methodological level and one at the theoretical level: 1. To better uncover registers in text and spoken corpora, we propose changes to established analytical approaches. 2. To tease apart between-subject variability from the linguistic variability at issue (intra-individual situation based register variability), we use within-subject designs and the modeling of individuals’ social, language, and educational background. 3. We highlight a gap in cognitive modeling, viz. modeling the mental representations of register (processing), and present our first attempts at filling this gap. We argue that the targeted use of multiple complementary methods and measures supports investigating the pervasiveness of register phenomena and yields comprehensive insights into the cross-methodological robustness of register-related language variability. These comprehensive insights in turn provide a solid foundation for associated cognitive modeling. Lehmann, Nico; Serova, Dina; Lukassek, Julia; Döring, Sophia; Goymann, Frank; Lüdeling, Anke; Akbari, Roodabeh (2023) Guidelines for the annotation of parameters of narration. In: REALIS: Register Aspects of Language in Situation [DOI] [ViVo]The present guidelines describe the annotation of narrative phenomena on the clause level, using a combination of ideas and methods from linguistics and lit- erary studies. The main categories marking the discourse strategy “narration” in stretches of text have been narrowed down to mediacy, i. e. involving a narrator, and sequentiality of events. This document specifies how to define mediacy, and in turn determine whether a narrator is present, as well as how to identify events and their sequential ordering. Lastly, a functional layer annotation is proposed which allows researchers to compare different types of narrative instances. This offers a basis for investigating a potential narrative register which is said to be important for many kinds of register studies. Schnelle, Gohar; Lüdeling, Anke; Odebrecht, Carolin (2023) Historische Korpora in sprachhistorisch orientierter germanistischer Hochschullehre In: Beiträge zur Geschichte der deutschen Sprache und Literatur [DOI] [ViVo] Abstract
This paper argues for incorporating corpus data into the teaching of historical linguistics. While deeply annotated historical corpora are becoming available and corpus data is already widely used to answer various research questions, corpora are as yet rarely used in teaching. We believe they are ideally suited to make the variation in historical data transparent and help students to explore contexts and parameters. In our first study, we show how the KaJuK corpus and its more elaborated version, the GiesKaNe corpus, can be exploited to study adverbial sentences. Using the RIDGES corpus, the second study deals with phrasal and lexical development. Both studies focus on explaining the method and its extension to other corpora and research questions.
Belz, Malte; Sell, Bianca Maria; Lange, Robert; Mooshammer, Christine; Lüdeling, Anke (2023) BeDiaCo (L1-L1) und CoNNAR (L1-L1/L2). Freie und aufgabenorientierte spontansprachliche Dialoge in direkter und videobasierter Kommunikation In: Neue Entwicklungen in der Korpuslandschaft der Germanistik. [ViVo] Lüdeling, Anke; Mooshammer, Christine; Lange, Robert; Sell, Bianca Maria; Terada, Megumi (2023) Corpus of Non-Native Addressee Register (CoNNAR). Version 1[ViVo] Wisniewski, Katrin; Lüdeling, Anke; Czinglar, Christine (2022) Zu Umgang mit Variation in der Lernersprachenanalyse. Perspektiven aus und für DaF/DaZ In: Deutsch als Fremdsprache [DOI] [ViVo]In this article, we argue that learner language analysis in German as a Second / Foreign Language should give greater consideration to variation. Looking at three exemplary research topics (verb placement, complexity, and register in German as a Second / Foreign Language), we demonstrate where variation plays a role and how it can be integrated into acquisition models both theoretically and methodologically. The field of learner corpus linguistics provides excellent methods for analysing variability in learner data. Lüdeling, Anke; Hirschmann , Hagen; Shadrova, Anna; Wan, Shujun (2021) Tiefe Analyse von Lernerkorpora In: Deutsch in Europa [DOI] [ViVo]Die Sprache von Lerner/-innen einer Fremdsprache unterscheidet sich auf allen linguistischen Ebenen von der Sprache von Muttersprachler/-innen. Seit einigen Jahrzehnten werden Lernerkorpora gebaut, um Lernersprache quantitativ und qualitativ zu analysieren. Hier argumentieren wir anhand von drei Fallbeispielen (zu Modifikation, Koselektion und rhetorischen Strukturen) für eine linguistisch informierte, tiefe Phänomenmodellierung und Annotation sowie für eine auf das jeweilige Phänomen passende formale und quantitative Modellierung. Dabei diskutieren wir die Abwägung von tiefer, mehrschichtiger Analyse einerseits und notwendigen Datenmengen für bestimmte quantitative Verfahren andererseits und zeigen, dass mittelgroße Korpora (wie die meisten Lernerkorpora) interessante Erkenntnisse ermöglichen, die große, flacher annotierte Korpora so nicht erlauben würden. Shadrova, Anna; Lindscheid, Pia; Lukassek, Julia; Lüdeling, Anke; Schneider, Sarah (2021) A Challenge for Contrastive L1/L2 Corpus Studies: Large Inter- and Intra-Individual Variation Across Morphological, but Not Global Syntactic Categories in Task-Based Corpus Data of a Homogeneous L1 German Group In: Frontiers in Psychology [DOI] [ViVo]In this paper, we present corpus data that questions the concept of native speaker homogeneity as it is presumed in many studies using native speakers (L1) as a control group for learner data (L2), especially in corpus contexts. Usage-based research on second and foreign language acquisition often investigates quantitative differences between learners, and usually a group of native speakers serves as a control group, but often without elaborating on differences within this group to the same extent. We examine inter-personal differences using data from two well-controlled German native speaker corpora collected as control groups in the context of second and foreign language research. Our results suggest that certain linguistic aspects vary to an extent in the native speaker data that undermines general statements about quantitative expectations in L1. However, we also find differences between phenomena: while morphological and syntactic sub-classes of verbs and nouns show great variability in their distribution in native speaker writing, other, coarser categories, like parts of speech, or types of syntactic dependencies, behave more predictably and homogeneously. Our results highlight the necessity of accounting for inter-individual variance in native speakers where L1 is used as a target ideal for L2. They also raise theoretical questions concerning a) explanations for the divergence between phenomena, b) the role of frequency distributions of morphosyntactic phenomena in usage-based linguistic frameworks, and c) the notion of the individual adult native speaker as a general representative of the target language in language acquisition studies or language in general. Guescini, Rolf Borgen; Krause, Thomas; Odebrecht, Carolin; Schulz, Konstantin (2020) Laudatio Repository - Long-term Access and Usage of Deeply Annotated Information Docker Images[DOI] [ViVo]This is the dockerized images of the Laudatio Repository software described by the following: The management and archiving of digital research data is an overlapping field for linguistics, library and information science (LIS) and computer science: The departments of Corpus Linguistics and the Computer and Media Service (CMS) at Humboldt-Universität zu Berlin and The National Institute for Research in Computer Science and Control (INRIA France) are project partners cooperating with the Berlin School of Library and Information Science (BSLIS). LAUDATIO has developed an open access research data repository for historical corpora. For the access and (re-)use of historical corpora, the LAUDATIO repository uses a flexible and appropriate documentation schema with a subset of TEI customized by TEI ODD. The extensive metadata schema contains information about the preparation and checking methods applied to the data, tools, formats and annotation guidelines used in the project, as well as bibliographic metadata, and information on the research context (e.g. the research project). To provide complex and comprehensive search in the annotation data, the search and visualization tool ANNIS is integrated in the LAUDATIO-Repository. Alexiadou, Artemis; Lüdeling, Anke; Adli, Aria; Donhauser, Karin; Dreyer, Malte; Egg, Markus; Feulner, Anna Helene; Gagarina, Natalia; Hock, Wolfgang; Jannedy, Stefanie; Kammerzell, Frank; Knoeferle, Pia; Krause, Thomas; Krifka, Manfred; Kutscher, Silvia; Lütke, Beate; McFadden, Thomas; Meyer, Roland; Mooshammer, Christine; Müller, Stefan; Maquate, Katja; Norde, Muriel; Sauerland, Uli; Szucsich, Luka; Verhoeven, Elisabeth; Waltereit, Richard; Wolfsgruber, Anne; Zeige, Lars Erik (2020) Register: Language Users’ Knowledge of Situational-Functional Variation In: REALIS: Register Aspects of Language in Situation [DOI] [ViVo]The Collaborative Research Center 1412 “Register: Language Users’ Knowledge of Situational-Functional Variation” (CRC 1412) investigates the role of register in language, focusing in particular on what constitutes a language user’s register knowledge and which situational-functional factors determine a user’s choices. The following paper is an extract from the frame text of the proposal for the CRC 1412, which was submitted to the Deutsche Forschungsgemeinschaft in 2019, followed by a successful onsite evaluation that took place in 2019. The CRC 1412 then started its work on January 1, 2020. The theoretical part of the frame text gives an extensive overview of the theoretical and empirical perspectives on register knowledge from the viewpoint of 2019. Due to the high collaborative effort of all PIs involved, the frame text is unique in its scope on register research, encompassing register-relevant aspects from variationist approaches, psycholinguistics, grammatical theory, acquisition theory, historical linguistics, phonology, phonetics, typology, corpus linguistics, and computational linguistics, as well as qualitative and quantitative modeling. Although our positions and hypotheses since its submission have developed further, the frame text is still a vital resource as a compilation of state-of-the-art register research and a documentation of the start of the CRC 1412. The theoretical part without administrative components therefore presents an ideal starter publication to kick off the CRC’s publication series REALIS. For an overview of the projects and more information on the CRC, see https://sfb1412.hu-berlin.de/. Temme, Anne; Golcher, Felix (2022) Contrast Coding In: CRC/MGK Methodschool 2022 [ViVo] Belz, Malte; Lüdeling, Anke; Mooshammer, Christine; Sell, Bianca Maria; Terada, Megumi; Lange, Robert (2022) Das Berlin Dialogue Corpus (BeDiaCo) und das Corpus of Non-Native Addressee Register (CoNNAR) – themen- und aufgabenorientierte spontansprachliche Dialoge in direkter und videobasierter Kommunikation In: IDS-Methodenmesse 2022 [ViVo] Sell, Bianca Maria; Mooshammer, Christine; Lüdeling, Anke; Oliviera, Maggie Bullock; Lange, Robert (2022) Non-Native Addressee Register in German In: 11th International Conference on Language Variation in Europe - ICLaVE|11 [ViVo] Lüdeling, Anke; Shadrova, Anna; Lukassek, Julia (2022) Variation and Productivity in German L1 and L2 Nominal Word Formation In: DGfS 2022, University of Tübingen [ViVo] Shadrova, Anna; Lüdeling, Anke; Wan, Shujun; Lukassek, Julia (2022) Complex nouns as markers of academic register in L1-and L2-authored essays In: Word formation and discourse structure [ViVo] Lüdeling, Anke (2022) Zum Umgang mit Variation in der Lernersprachenanalyse. Perspektiven aus und für DaF/DaZ In: LCR2022 6th Learner Corpus Research Conference, Padua, September [ViVo] Lüdeling, Anke (2022) Variability in Grammatical Categories and Structures: The Case of Word Formation, Ghent, Belgium In: Grammar and Corpora (GaC) [ViVo] Krause, Thomas; Lüdeling, Anke (2022) What is a good corpus? In: SFB 1412 Colloquium, Humboldt-Universität zu Berlin [ViVo] Golcher, Felix; Renis, André (2022) Introduction to VIVO In: Kolloquium SFB1412 (2022) [ViVo] Temme, Anne; Renis, André (2022) Jupyter Notebooks for Linguists: Introduction to FLAIR NLP In: CRC/MGK Methodschool 2022 [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Zum Erwerb von Registerwissen bei Lerner:innen des Deutschen als Fremdsprache. Registerstudien in Lernerkorpora In: Colloquium Uni Gießen [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Untersuchung von Registern in Texten von Lerner:innen des Deutschen als Fremdsprache In: Colloquium RWTH Aachen [ViVo] Lüdeling, Anke; Lukassek, Julia (2021) Registerwissen und morphologische Struktur. Eine Studie zu komplexen Wörtern bei Lerner:innen des Deutschen als Fremdsprache und Muttersprachler:innen In: SPIGL [ViVo] Lüdeling, Anke; Lange, Robert; Sell, Bianca Maria; Belz, Malte; Mooshammer, Christine (2021) The phonetic realisation of verbal inflection in two dialogue registers of German spontaneous speech In: Kolloquium SFB1412 (2021) [ViVo] Temme, Anne; Renis, André (2021) Python for Linguists (and Introduction to spaCy NLP) In: CRC/MGK Methodschool 2021 [ViVo] Golcher, Felix; Temme, Anne (2021) R Markdown In: CRC/MGK Methodschool 2021 [ViVo] Golcher, Felix; Renis, André; Krause, Thomas; Temme, Anne (2020) Working with corpora and corpus data In: CRC/MGK Summerschool 2020 [ViVo]
Resources (re-)used by INF
Stanford Log-linear Part-Of-Speech TaggerType: Software publication
Details: [ViVo] [URL]
A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'. This software is a Java implementation of the log-linear part-of-speech taggers described in these papers (if citing just one paper, cite the 2003 one):Kristina Toutanova and Christopher D. Manning. 2000. Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC-2000), pp. 63-70.
Kristina Toutanova, Dan Klein, Christopher Manning, and Yoram Singer. 2003. Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network. In Proceedings of HLT-NAACL 2003, pp. 252-259.
Used by: A01, INF
ANNIS3Type: Software publication
Details: [ViVo] [DOI] [URL]
A web browser-based search and visualization architecture for complex multilayer linguistic corpora with diverse types of annotation.
Available from: https://corpus-tools.org/annis/
Cite as: Krause, Thomas & Zeldes, Amir (2016): ANNIS3: A new architecture for generic corpus query and visualization. in: Digital Scholarship in the Humanities 2016 (31). http://dsh.oxfordjournals.org/content/31/1/118
Used by: A03, A06, B04, C04, C06, INF
INCEpTIONType: Software publication
Details: [ViVo] [URL]
We introduce INCEpTION, a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact linking, knowledge base population, semantic frame annotation). These tasks are very time consuming and demanding for annotators, especially when knowledge bases are used. We address these issues by developing an annotation platform that incorporates machine learning capabilities which actively assist and guide annotators. The platform is both generic and modular. It targets a range of research domains in need of semantic annotation, such as digital humanities, bioinformatics, or linguistics. INCEpTION is publicly available as open-source software.
INF is hosting INCEpTION at https://inception.sfb1412.hu-berlin.de (Intranet only)
Used by: A01, A06, B04, INF
PepperType: Software publication
Details: [ViVo] [URL]
A highly extensible platform for conversion and manipulation of linguistic data between an unbound set of formats. Pepper can be used stand-alone as a command line interface, or be integrated as an API into other software products.
Available from: https://corpus-tools.org/pepper/
Cite as: F. Zipser & L. Romary (2010). A model oriented approach to the mapping of annotation formats using standards. In: Proceedings of the Workshop on Language Resource and Language Technology Standards, LREC 2010. Malta. URL: http://hal.archives-ouvertes.fr/inria-00527799/en/
Used by: A01, A06, INF
RStudio ServerType: Software publication
Details: [ViVo] [URL]
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
Used by: A04, A07, C03, INF
emuRType: Software publication
Details: [ViVo] [URL]
Raphael Winkelmann, Klaus Jaensch, Steve Cassidy, and Jonathan Harrington. emuR: Main Package of the EMU Speech Database Management System, 2018.
Used by: C06, INF
flairNLP / flairType: Software publication
Details: [ViVo] [URL]
A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends.
Alan Akbik, Duncan Blythe, and Roland Vollgraf. 2018. Contextual String Embeddings for Sequence Labeling. In Proceedings of the 27th International Conference on Computational Linguistics, pages 1638–1649, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Used by: INF, MGK, Z