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Besides English, Afrikaans is considered “the [Germanic] language which deviates grammatically the farthest from the others” (Harbert 2007: 17). But how exactly do we measure “grammatical deviation”, and how deviant is Afrikaans really if we compare it not just to other standard languages but also to non-standard varieties? The present contribution aims to address those questions combining functional-typological and dialectometric perspectives. We first select data for 28 Germanic varieties showing vastly different speaker numbers, grades of standardisation and amounts of language contact. Based on 48 (micro)typological variables from syntax, morphology and phonology, we perform cluster analysis and multidimensional scaling and present ways of visualizing and interpreting the results. Inter alia, the analyses show a major divide between Continental West Germanic and North Germanic (as might be expected) and they also identify a number of outliers, including English and pidgin and creole languages such as Russenorsk or Rabaul Creole German. Afrikaans appears to cluster with the other West Germanic languages rather than the outliers. Within West Germanic, however, it does indeed emerge as rather deviant and, according to our metric, it is, for example, typologically closer to other high-contact varieties such as Yiddish than it is to Dutch.
We present a simple tool for extracting text and markup information from printouts of (not only) scientific documents. While the heavy-lifting OCR is done by off-the-shelf tesseract, our focus is on detection, extraction, and basic categorization of color-highlighted text sections, as well as on providing a framework for downstream processing of extraction results. The tool can be useful for document analysis tasks that must, or benefit from being able to, use printed paper.
Статтю присвячено комунікативним девіаціям (невдачам) на матеріалі українських і німецьких телеінтерв’ю з П. Порошенком та А. Меркель. Встановлено, що спілкування осіб з різними комунікативними цілями і стратегіями – головні причини девіацій. Проаналізовано комунікативні невдачі, враховуючи позиції адресанта й адресата, а також глядача даних інтерв’ю, визначено спільні та відмінні стратегії у випадку комунікативних девіацій в українській і німецькій лінгвокультурах.
Статтю присвячено дослідженню комунікативних невдач у мовленнєвому жанрі відеоінтерв’ю крізь призму української національної ідентичності. Визначено тематику, типи і жанрово-мовну специфіку українського відеоінтерв’ю як зразка діалогічного мовлення. Встановлено специфіку комунікативних невдач у цьому жанрі (зі спортсменами, політиками і культурними діячами) з огляду на позиції комунікантів, структурні рівні досліджуваного жанру та максими спілкування.
KoMuX, der Kompositamuster-Explorer, (www.owid.de/plus/komux) ist eine Webanwendung, die es ermöglicht, mehr als 50.000 nominale Komposita des Deutschen gezielt nach abstrakten oder lexikalisch-teilspezifizierten Mustern zu durchsuchen. Unterschiedliche Visualisierungen helfen dabei, Strukturen und Zusammenhänge innerhalb der Ergebnismenge zu erfassen.
We present a collection of (currently) about 5.500 commands directed to voice-controlled virtual assistants (VAs) by sixteen initial users of a VA system in their homes. The collection comprises recordings captured by the VA itself and with a conditional voice recorder (CVR) selectively capturing recordings including the VA-directed commands plus some surrounding context. Next to a description of the collection, we present initial findings on the patterns of use of the VA systems during the first weeks after installation, including usage timing, the development of usage frequency, distributions of sentence structures across commands, and (the development of) command success rates. We discuss the advantages and disadvantages of the applied collection-specific recording approach and describe potential research questions that can be investigated in the future, based on the collection, as well as the merit of combining quantitative corpus linguistic approaches with qualitative in-depth analyses of single cases.
"Das im Januar 2022 gestartete Projekt "Sprachanfragen" (https://www.ids-mannheim.de/gra/projekte2/sprachanfragen/) verfolgt erstmalig das Ziel, Sprachanfragedaten zu erfassen, aufzubereiten und ein wissenschaftsöffentliches Monitorkorpus aus ihnen zu erstellen. Dazukommend wird eine Rechercheschnittstelle entwickelt, mit der die Sprachanfragen systematisch wissenschaftlich analysierbar gemacht werden. Das Poster gibt einen Überblick über das Projekt, zeigt erste Ergebnisse und bietet einen Ausblick auf Überlegungen zur Konzeption eines Chatbots zur automatisierten Beantwortung von Sprachanfragen." Ein Beitrag zur 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2023 Open Humanities Open Culture.
Seit Mitte der 1990er Jahre wird am Institut für deutsche Sprache (IDS) in Mannheim erforscht, wie der hochkomplexe Gegenstandsbereich „Grammatik“ unter Ausnutzung hypertextueller Navigationsstrukturen wissenschaftlich fundiert und anschaulich vermittelt werden kann. Eine zentrale Bedeutung kommt folglich einer konsistenten, theorieübergreifenden Vernetzung sämtlicher Textinhalte zu. Um eine automatisierbare Bezugnahme zwischen mit unterschiedlichem terminologischem Vokabular formulierten, aber das gleiche sprachliche Phänomen beschreibenden Inhalten zu befördern, bildet eine onomasiologisch konzipierte Terminologiedatenbank das Rückgrat des Online-Systems. Der Beitrag beschreibt Konzeption und Aufbau der skizzierten linguistischen Fachterminologie.
The proposed contribution will shed light on current and future challenges on legal and ethical questions in research data infrastructures. The authors of the proposal will present the work of NFDI’s section on Ethical, Legal and Social Aspects (hereinafter: ELSA), whose aim is to facilitate cross-disciplinary cooperation between the NFDI consortia in the relevant areas of management and re-use of research data.
This paper describes general requirements for evaluating and documenting NLP tools with a focus on morphological analysers and the design of a Gold Standard. It is argued that any evaluation must be measurable and documentation thereof must be made accessible for any user of the tool. The documentation must be of a kind that it enables the user to compare different tools offering the same service, hence the descriptions must contain measurable values. A Gold Standard presents a vital part of any measurable evaluation process, therefore, the corpus-based design of a Gold Standard, its creation and problems that occur are reported upon here. Our project concentrates on SMOR, a morphological analyser for German that is to be offered as a web-service. We not only utilize this analyser for designing the Gold Standard, but also evaluate the tool itself at the same time. Note that the project is ongoing, therefore, we cannot present final results.
Open Science and language data: Expectations vs. reality. The role of research data infrastructures
(2023)
Language data are essential for any scientific endeavor. However, unlike numerical data, language data are often protected by copyright, as they easily meet the threshold of originality. The role of research infrastructures (such CLARIN, DARIAH, and Text+) is to bridge the gap between uses allowed by statutory exceptions and the requirements of Open Science. This is achieved on the one hand by sharing language data produced by research organisations with the widest possible circle of persons, and on the other by mutualizing efforts towards copyright clearance and appropriate licensing of datasets.
Corpus-based identification and disambiguation of reading indicators for German nominalizations
(2010)
Corpus data is often structurally and lexically ambiguous; corpus extraction methodologies thus must be made aware of ambiguities. Therefore, given an extraction task, all relevant ambiguities must be identified. To resolve these ambiguities, contextual data responsible for one or another reading is to be considered. In the context of our present work, German -ung-nominalizations and their sortal readings are under examination. A number of these nominalizations may be read as an event or a result, depending on the semantic group they belong to. Here, we concentrate on nominalizations of verbs of saying (henceforth: "verba dicendi"), identify their context partners and their influence on the sortal reading of the nominalizations in question. We present a tool which calculates the sortal reading of such nominalizations and thus may improve not only corpus extraction, but also e.g. machine translation. Lastly, we describe successful attempts to identify the correct sortal reading, conclusions and future work.
Strategische Kommunikation wird in verschiedenen Bereichen der menschlichen Interaktion verwendet, um eine bestimmte Zielgruppe zu beeinflussen. Sie befindet sich an der Schnittstelle mannigfaltiger Disziplinen, wie z.B. Kommunikations- und Politikwissenschaft, Psychologie, Management und Marketing. Strategische Kommunikation bezieht sich sowohl auf öffentliche und private Kommunikation, professionelle und unprofessionelle Kommunikantinnen und Kommunikanten als auch auf unterschiedliche Kommunikationskanäle.
Als Teil der NFDI vernetzt Text+ ortsverteilt verschiedenste Daten und Dienste für die geisteswissenschaftliche Forschung und stellt sie der wissenschaftlichen Gemeinschaft FAIR zur Verfügung. In diesem Beitrag beschreiben wir die Umsetzung beispielhaft im Bereich der Text+ Datendomäne Sammlungen anhand von Korpora, die in verschiedenen Disziplinen Verwendung finden. Die Infrastruktur ist auf Erweiterbarkeit ausgelegt, so dass auch weitere Ressourcen über Text+ verfügbar gemacht werden können. Enthalten ist auch ein Ausblick auf weitere zu erwartende Entwicklungen. Ein Beitrag zur 9. Tagung des Verbands "Digital Humanities im deutschsprachigen Raum" - DHd 2023 Open Humanities Open Culture.
2008. godā tyka veikts pietejums, kura golvonais mierkis beja raksturuot niulenejū latgalīšu volūdys lūmu izgleiteibys sistemā. Itys roksts prezeņtej byutiskuokūs pietejuma rezultatus. Pietejuma īrūsme sajimta nu „Mercator Education Centre“ (Merkatora izgleiteibys centra), kas dorbojās Nīderlaņdē Ļuvortā (frīzu volūdā — Ljouwert), Frīzejis proviņcis golvyspiļsātā. Piļneigs pietejuma izvārsums ar Merkatora izgleiteibys centra atbolstu publicāts izdavumu serejā „Regional Dossier Series“ (Regionalūs dosje sereja) angļu volūdā. Itys roksts golvonom kuortom dūmuots taidam adresatam, kas mozuok ir saisteits ar Eiropys volūdu izpietis institucejom i kam roksti angļu volūdā var saguoduot izpratnis voi atrasšonys gryuteibys. Partū pietejuma suokumā teik dūts seikuoks metožu i mierķu raksturuojums, paskaidrojūt pietejuma strukturu i rezultatu apkūpuojuma veidu, kai ari dūts puorskots par latgalīšu volūdys lūmu myusdīnu izgleiteibys sistemā. Sacynuojumūs ir īzeimātys nuokūtnis perspektivis i prīšklykumi dabuotūs rezultatu izmontuojumam.
The workshop presents ATHEN 1 (Annotation and Text Highlighting Environment), an extensible desktop-based annotation environment which supports more than just regular annotation. Besides being a general purpose annotation environment, ATHEN supports indexing and querying support of your data as well as the ability to automatically preprocess your data with Meta information. It is especially suited for those who want to extend existing general purpose annotation tools by implementing their own custom features, which cannot be fulfilled by other available annotation environments. On the according gitlab, we provide online tutorials, which demonstrate the use of specific features of ATHEN
Projektvorstellung – Redewiedergabe. Eine literatur- und sprachwissenschaftliche Korpusanalyse
(2018)
Das laufende DFG-Projekt „Redewiedergabe“ stellt einen Anwendungsfall quantitativer Sprach-und Literaturwissenschaft dar und beschäftigt sich mit dem Phänomen „Redewiedergabe“ auf der Grundlage großer Datenmengen. Zu diesem Zweck wird zum einen ein Korpus manuell mit Redewiedergabeformen annotiert, zum anderen werden Verfahren zur automatischen Erkennung des Phänomens entwickelt. Ziel ist es, Forschungsfragen nach der Entwicklung von Redewiedergabe vor allem im 19. Jahrhundert zu beantworten.
The CLARIN Concept Registry (CCR) is the common semantic ground for most CMDI-based profiles to describe language-related resources in the CLARIN universe. While the CCR supports semantic interoperability within this universe, it does not extend beyond it. The flexibility of CMDI, however, allows users to use other term or concept registries when defining their metadata components. In this paper, we describe our use of schema.org, a light ontology used by many parties across disciplines.
This paper reports on an ongoing international project of compiling a freely accessible online Dictionary of German Loans in Polish Dialects. The dictionary will be the first comprehensive lexicographic compendium of its kind, serving as a complement to existing resources on German lexical loans in the literary or standard language. The empirical results obtained in the project will shed new light on the distribution of German loanwords among different dialects, also in comparison to the well-documented situation in written Polish. The dictionary will have a strong focus on the dialectal distribution of Polish dialectal variants for a given German etymon, accessible through interactive cartographic representations and corresponding search options. The editorial process is realized with dedicated collaborative web tools. The new resource will be published as an integrated part of an online information system for German lexical borrowings in other languages, the Lehnwortportal Deutsch, and is therefore highly cross-linked with other loanword dictionaries on Polish as well as Slavic and further European languages.
Die durch die Covid-19-Pandemie bedingte Umstellung der Präsenzlehre auf digitale Lehr- und Lernformate stellte Lehrende und Studierende gleichermaßen vor eine Herausforderung. Innerhalb kürzester Zeit musste die Nutzung von Plattformen und digitalen Tools erlernt und getestet werden. Der Beitrag stellt exemplarisch Dienste und Werkzeuge von CLARIAH-DE vor und erläutert, wie die digitale Forschungsinfrastruktur Lehrende und Studierende auch im Rahmen der digitalen Lehre unterstützen kann.
In order to differentiate between figurative and literal usage of verb-noun combinations for the shared task on the disambiguation of German Verbal Idioms issued for KONVENS 2021, we apply and extend an approach originally developed for detecting idioms in a dataset consisting of random ngram samples. The classification is done by implementing a rather shallow, statistics-based pipeline without intensive preprocessing and examinations on the morphosyntactic and semantic level. We describe the overall approach, the differences between the original dataset and the dataset of the KONVENS task, provide experimental classification results, and analyse the individual contributions of our feature sets.
In 2010, ISO published a standard for syntactic annotation, ISO 24615:2010 (SynAF). Back then, the document specified a comprehensive reference model for the representation of syntactic annotations, but no accompanying XML serialisation. ISO’s subcommittee on language resource management (ISO TC 37/SC 4) is working on making the SynAF serialisation ISOTiger an additional part of the standard. This contribution addresses the current state of development of ISOTiger, along with a number of open issues on which we are seeking community feedback in order to ensure that ISOTiger becomes a useful extension to the SynAF reference model.
This paper reports on recent developments within the European Reference Corpus EuReCo, an open initiative that aims at providing and using virtual and dynamically definable comparable corpora based on existing national, reference or other large corpora. Given the well-known shortcomings of other types of multilingual corpora such as parallel/translation corpora (shining-through effects, over-normalization, simplification, etc.) or web-based comparable corpora (covering only web material), EuReCo provides a unique linguistic resource offering new perspectives for fine-grained contrastive research on authentic cross-linguistic data, applications in translation studies and foreign language teaching and learning.
We discuss the modal uses of the Hausa exclusive particle sai (≈ only). We argue that the distribution of sai in modal environments provides evidence for the following claims on the composition of modal meaning that have been independently made in the literature: i) Future-oriented modality involves a prospective aspect operator that can be realized covertly in some languages (e.g. English, Kratzer 2012b) and overtly in others (e.g. Gitksan, Matthewson 2012, 2013). ii) Necessity interpretations arise from exhaustifying possibilities, i.e. an exhaustivity operator applying to existential modality (e.g. Kaufmann 2012 for the case of imperatives and Leffel 2012 for a relevant analysis of necessity meaning in Masalit). We show that future-oriented necessity in Hausa decomposes into EXH((PROSP)), with sai contributing exhaustivity.
So far, comprehensive grammar descriptions of Northern Sotho have only been available in the form of prescriptive books aiming at teaching the language. This paper describes parts of the first morpho-syntactic description of Northern Sotho from a computational perspective (Faaß, 2010a). Such a description is necessary for implementing rule based, operational grammars. It is also essential for the annotation of training data to be utilised by statistical parsers. The work that we partially present here may hence provide a resource for computational processing of the language in order to proceed with producing linguistic representations beyond tagging, may it be chunking or parsing. The paper begins with describing significant Northern Sotho verbal morpho-syntactics (section 2). It is shown that the topology of the verb can be depicted as a slot system which may form the basis for computational processing (section 3). Note that the implementation of the described rules (section 4) and also coverage tests are ongoing processes upon that we will report in more detail at a later stage.
We report on a new project building a Natural Language Processing resource for Zulu by making use of resources already available. Combining tagging results with the results of morphological analysis semi-automatically, we expect to reduce the amount of manual work when generating a finely-grained gold standard corpus usable for training a tagger. From the tagged corpus, we plan to extract verb-argument pairs with the aim of compiling a verb valency lexicon for Zulu.
This paper describes the application of probabilistic part of speech taggers to the Dzongkha language. A tag set containing 66 tags is designed, which is based on the Penn Treebank. A training corpus of 40,247 tokens is utilized to train the model. Using the lexicon extracted from the training corpus and lexicon from the available word list, we used two statistical taggers for comparison reasons. The best result achieved was 93.1% accuracy in a 10-fold cross validation on the training set. The winning tagger was thereafter applied to annotate a 570,247 token corpus.
An interactive, dynamic electronic dictionary aimed at text production should guide the user in innovative ways, especially in respect of difficult, complicated or confusing issues. This paper proposes a design for bilingual dictionaries intended to guide users in text production; we focus on complex phenomena of the interaction between lexis and grammar. It will be argued that a dictionary aimed at guiding the user in lexical selection should implement a type of “decision algorithm”. In addition, it should flag incorrect solutions and should warn against possible wrong generalisations of (foreign) language learners. Our proposals will be illustrated with examples from several languages, as the design principles are generally applicable. The copulative construction which is regarded as the most complicated grammatical structure in Northern Sotho will be analyzed in more detail and presented as a case in point.
This paper reports about current practice in a staged approach to the introduction of NLP principles and techniques for students of information science (IIM) and of international communication and translation (ICT) as part of their curricula. As most of these students are rather not familiar with computer science or, in the case of IIM students, linguistics, we see them as comparable with students of the humanities. We follow a blended learning strategy with lectures, online materials, tutorials, and screencasts. In the first two terms, we focus on linguistics and its formalisation, NLP tools and applications are then introduced from the third term on. The lectures are combined with tutorials and - since the summer term 2017 - with a set of screencasts.
This paper describes a first version of an integrated e-dictionary translating possessive constructions from English to Zulu. Zulu possessive constructions are difficult to learn for non-mother tongue speakers. When translating from English into Zulu, a speaker needs to be acquainted with the nominal classification of nouns indicating possession and possessor. Furthermore, (s)he needs to be informed about the morpho-syntactic rules associated with certain combinations of noun classes. Lastly, knowledge of morpho-phonetic changes is also required, because these influence the orthography of the output word forms. Our approach is a novel one in that we combine e-lexicography and natural language processing by developing a (web) interface supporting learners, as well as other users of the dictionary to produce Zulu possessive constructions. The final dictionary that we intend to develop will contain several thousand nouns which users can combine as they wish. It will also translate single words and frequently used multiword expressions, and allow users to test their own translations. On request, information about the morpho-syntactic and morpho-phonetic rules applied by the system are displayed together with the translation. Our approach follows the function theory: the dictionary supports users in text production, at the same time fulfilling a cognitive function.
We present recognizers for four very different types of speech, thought and writing representation (STWR) for German texts. The implementation is based on deep learning with two different customized contextual embeddings, namely FLAIR embeddings and BERT embeddings. This paper gives an evaluation of our recognizers with a particular focus on the differences in performance we observed between those two embeddings. FLAIR performed best for direct STWR (F1=0.85), BERT for indirect (F1=0.76) and free indirect (F1=0.59) STWR. For reported STWR, the comparison was inconclusive, but BERT gave the best average results and best individual model (F1=0.60). Our best recognizers, our customized language embeddings and most of our test and training data are freely available and can be found via www.redewiedergabe.de or at github.com/redewiedergabe.
Die vorgestellte Studie untersucht die Anteile unterschiedlicher Redewiedergabeformen im Vergleich zwischen zwei Literaturtypen von gegensätzlichen Enden des Spektrums: Hochliteratur – definiert als Werke, die auf der Auswahlliste von Literaturpreisen standen – und Heftromanen, massenproduzierten Erzählwerken, die zumeist über den Zeitschriftenhandel vertrieben werden und früher abwertend als „Romane der Unterschicht” (Nusser 1981) bezeichnet wurden. Unsere These ist, dass sich diese Literaturtypen hinsichtlich ihrer Erzählweise unterscheiden, und sich dies in den verwendeten Wiedergabeformen niederschlägt. Der Fokus der Untersuchung liegt auf der Dichotomie zwischen direkter und nicht-direkter Wiedergabe, die schon in der klassischen Rhetorik aufgemacht wurde.
Das Ziel des Beitrags ist es, die Merkmale von Kommunikationsstörungen in Sport-Interviews aus Sicht der Interviewten festzustellen und zu analysieren. Die empirische Forschungsbasis besteht aus ukrainisch- und deutschsprachigen Videointerviews aus den Jahren 2010 bis 2019, die entweder im Fernsehen gesendet oder für YouTube produziert wurden. Die Ergebnisse der Studie ermöglichten es, die charakteristischen Merkmale von Abweichungen als Kommunikationsstörungen in Sport-Interviews auf drei Ebenen der kommunikativen Gattung zu identifizieren: auf der außenstrukturellen, binnenstrukturellen und situativen Ebene. Sowohl gemeinsame Merkmale von Kommunikationsstörungen als auch Unterschiede in den ukrainisch- und deutschsprachigen Sport-Interviews wurden bestimmt. Die Ergebnisse der Studie zeigen, dass die Arten von Kommunikationsstörungen in Sport-Interviews im Ukrainischen und Deutschen universell sind, sie spiegeln jedoch die nationalen und kulturellen Besonderheiten angesichts der Merkmale beider Sprachen und jeder Sprachkultur wider.
“Linguistic Landscapes” (LL) is a research method which has become increasingly popular in recent years. In this paper, we will first explain the method itself and discuss some of its fundamental assumptions. We will then recall the basic traits of multilingualism in the Baltic States, before presenting results from our project carried out together with a group of Master students of Philology in several medium-sized towns in the Baltic States, focussing on our home town of Rēzekne in the highly multilingual region of Latgale in Eastern Latvia. In the discussion of some of the results, we will introduce the concept of “Legal Hypercorrection” as a term for the stricter compliance of language laws than necessary. The last part will report on advantages of LL for educational purposes of multilingualism, and for developing discussions on multilingualism among the general public.
The QUEST (QUality ESTablished) project aims at ensuring the reusability of audio-visual datasets (Wamprechtshammer et al., 2022) by devising quality criteria and curating processes. RefCo (Reference Corpora) is an initiative within QUEST in collaboration with DoReCo (Documentation Reference Corpus, Paschen et al. (2020)) focusing on language documentation projects. Previously, Aznar and Seifart (2020) introduced a set of quality criteria dedicated to documenting fieldwork corpora. Based on these criteria, we establish a semi-automatic review process for existing and work-in-progress corpora, in particular for language documentation. The goal is to improve the quality of a corpus by increasing its reusability. A central part of this process is a template for machine-readable corpus documentation and automatic data verification based on this documentation. In addition to the documentation and automatic verification, the process involves a human review and potentially results in a RefCo certification of the corpus. For each of these steps, we provide guidelines and manuals. We describe the evaluation process in detail, highlight the current limits for automatic evaluation and how the manual review is organized accordingly.
Metadata provides important information relevant both to finding and understanding corpus data. Meaningful linguistic data requires both reasonable annotations and documentation of these annotations. This documentation is part of the metadata of a dataset. While corpus documentation has often been provided in the form of accompanying publications, machinereadable metadata, both containing the bibliographic information and documenting the corpus data, has many advantages. Metadata standards allow for the development of common tools and interfaces. In this paper I want to add a new perspective from an archive’s point of view and look at the metadata provided for four learner corpora and discuss the suitability of established standards for machine-readable metadata. I am are aware that there is ongoing work towards metadata standards for learner corpora. However, I would like to keep the discussion going and add another point of view: increasing findability and reusability of learner corpora in an archiving context.
In this paper, we deal with register-driven variation from a probabilistic perspective, as proposed in Schäfer, Bildhauer, Pankratz, Müller (2022). We compare two approaches to analyse this variation within HPSG. On the one hand, we consider a multiple-grammar approach and combine it with the architecture proposed in the CoreGram project Müller (2015) - discussing its advantages and disadvantages. On the other hand, we take into account a single-grammar approach and argue that it appears to be superior due to its computational efficiency and cognitive plausibility.
Das Lehnwortportal Deutsch (LWPD) ist ein Online-Informationssystem zu Entlehnungen von Wörtern aus dem Deutschen in andere Sprachen. Es beruht auf einer wachsenden Zahl von lexikographischen Ressourcen zu verschiedenen Sprachen und bietet eine einfache ressourcenübergreifende Suchfunktion an. Das Poster präsentiert eine derzeit in Entwicklung befindliche onomasiologische Suchfunktion für das LWPD.
The Leibniz-Institute for the German Language (IDS) was established in Mannheim in 1964. Since then, it has been at the forefront of innovation in German linguistics as a hub for digital language data. This chapter presents various lessons learnt from over five decades of work by the IDS, ranging from the importance of sustainability, through its strong technical base and FAIR principles, to the IDS’ role in national and international cooperation projects and its expertise on legal and ethical issues related to language resources and language technology.
Um eine bessere Erreichbarkeit und Zugänglichkeit zu bestehenden sowie neuen Angeboten von Lehr- und Schulungsmaterialien im Bereich der Digital Humanities zu ermöglichen, sollten diese in einem zentralen Verzeichnis zur Verfügung gestellt werden. Im Rahmen des CLARIAH-DE Projekts wurde – zunächst für die Umsetzung eines Projektmeilensteins – eine Lösung gesucht, die eine übergreifende Suche in frei zugänglichen und nachnutzbaren Lehr- und Schulungsmaterialien zu Forschungsmethoden, Verfahren sowie Werkzeugen im Bereich der Digital Humanities in unterschiedlichen Plattformen und Repositorien bietet.
Preface
(2020)
Preface
(2019)
We address the task of distinguishing implicitly abusive sentences on identity groups (“Muslims contaminate our planet”) from other group-related negative polar sentences (“Muslims despise terrorism”). Implicitly abusive language are utterances not conveyed by abusive words (e.g. “bimbo” or “scum”). So far, the detection of such utterances could not be properly addressed since existing datasets displaying a high degree of implicit abuse are fairly biased. Following the recently-proposed strategy to solve implicit abuse by separately addressing its different subtypes, we present a new focused and less biased dataset that consists of the subtype of atomic negative sentences about identity groups. For that task, we model components that each address one facet of such implicit abuse, i.e. depiction as perpetrators, aspectual classification and non-conformist views. The approach generalizes across different identity groups and languages.
Content
1 Predicting learner knowledge of individual words using machine learning
Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková
2 Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context
Eckhard Bick
3 Toward automatic improvement of language produced by non-native language learners
Mathias Creutz, Eetu Sjöblom
4 Linguistic features and proficiency classification in L2 Spanish and L2 Portuguese
Iria del Ri´o
5 Integrating large-scale web data and curated corpus data in a search engine supporting German literacy education
Sabrina Dittrich, Zarah Weiss, Hannes Schröter, Detmar Meurers
6 Formalism for a language agnostic language learning game and productive grid generation
Sylvain Hatier, Arnaud Bey, Mathieu Loiseau
7 Understanding Vocabulary Growth Through An Adaptive Language Learning System
Elma Kerz, Andreas Burgdorf, Daniel Wiechmann, Stefan Meeger,Yu Qiao, Christian Kohlschein, Tobias Meisen
8 Summarization Evaluation meets Short-Answer Grading
Margot Mieskes, Ulrike Padó
9 Experiments on Non-native Speech Assessment and its Consistency
Ziwei Zhou, Sowmya Vajjala, Seyed Vahid Mirnezami
10 The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems
Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Björn Rudzewitz, Detmar Meurers
Content
1 Substituto - A Synchronous Educational Language Game for Simultaneous Teaching and Crowdsourcing
Marianne Grace Araneta, Gülsen Eryigit, Alexander König, Ji-Ung Lee, Ana Luís, Verena Lyding, Lionel Nicolas, Christos Rodosthenous and Federico Sangati
2 The Teacher-Student Chatroom Corpus
Andrew Caines, Helen Yannakoudakis, Helena Edmondson, Helen Allen, Pascual Pérez-Paredes, Bill Byrne and Paula Buttery
3 Polygloss - A conversational agent for language practice
Etiene da Cruz Dalcol and Massimo Poesio
4 Show, Don’t Tell: Visualising Finnish Word Formation in a Browser-Based Reading Assistant
Frankie Robertson
MULLE is a tool for language learning that focuses on teaching Latin as a foreign language. It is aimed for easy integration into the traditional classroom setting and syllabus, which makes it distinct from other language learning tools that provide standalone learning experience. It uses grammar-based lessons and embraces methods of gamification to improve the learner motivation. The main type of exercise provided by our application is to practice translation, but it is also possible to shift the focus to vocabulary or morphology training.
In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.
We describe a simple and efficient Java object model and application programming interface (API) for (possibly multi-modal) annotated natural language corpora. Corpora are represented as elements like Sentences, Turns, Utterances, Words, Gestures and Markables. The API allows linguists to access corpora in terms of these discourse-level elements, i.e. at a conceptual level they are familiar with, with the flexibility offered by a general purpose programming language. It is also a contribution to corpus standardization efforts because it is based on a straightforward and easily extensible data model which can serve as a target for conversion of different corpus formats.