Refine
Year of publication
- 2018 (63) (remove)
Document Type
- Part of a Book (30)
- Article (12)
- Conference Proceeding (12)
- Book (4)
- Working Paper (4)
- Other (1)
Language
- English (63) (remove)
Has Fulltext
- yes (63) (remove)
Keywords
- Deutsch (16)
- Korpus <Linguistik> (16)
- Computerlinguistik (9)
- Grammatik (9)
- Annotation (7)
- Automatische Sprachverarbeitung (6)
- Gesprochene Sprache (6)
- Semantische Analyse (6)
- Automatische Sprachanalyse (4)
- Fremdsprachenlernen (4)
Publicationstate
- Veröffentlichungsversion (63) (remove)
Reviewstate
Publisher
- European language resources association (ELRA) (13)
- Znanstvena založba Filozofske fakultete Univerze v Ljubljani / Ljubljana University Press, Faculty of Arts (6)
- Association for Computational Linguistics (4)
- Heidelberg University Publishing (4)
- The Association for Computational Linguistics (3)
- Austrian Academy of Sciences (2)
- Buro van die WAT (2)
- Institut für Deutsche Sprache (2)
- Springer (2)
- University of Antwerp (2)
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
Learning new languages has a high relevance in today’s society with a globalized economy and the freedom to move abroad for work, study or other reasons. In this context new methods to teach and learn languages with the help of modern technology are becoming more relevant besides traditional language classes.
This work presents a new approach to combine a traditional language class with a modern computer-based approach for teaching. As a concrete example a web application to help teach and learn Latin was developed.
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.
We present a language learning application that relies on grammars to model the learning outcome. Based on this concept we can provide a powerful framework for language learning exercises with an intuitive user interface and a high reliability. Currently the application aims to augment existing language classes and support students by improving the learner attitude and the general learning outcome. Extensions beyond that scope are promising and likely to be added in the future.
Controlled Natural Languages (CNLs) have many applications including document authoring, automatic reasoning on texts and reliable machine translation, but their application is not limited to these areas. We explore a new application area of CNLs, the use of CNLs in computer-assisted language learning. In this paper we present a a web application for language learning using CNLs as well as a detailed description of the properties of the family of CNLs it uses.
We present WOMBAT, a Python tool which supports NLP practitioners in accessing word embeddings from code. WOMBAT addresses common research problems, including unified access, scaling, and robust and reproducible preprocessing. Code that uses WOMBAT for accessing word embeddings is not only cleaner, more readable, and easier to reuse, but also much more efficient than code using standard in-memory methods: a Python script using WOMBAT for evaluating seven large word embedding collections (8.7M embedding vectors in total) on a simple SemEval sentence similarity task involving 250 raw sentence pairs completes in under ten seconds end-to-end on a standard notebook computer.
This study investigates the language used by six German Gangsta rappers to establish and maintain their identity and authenticity as rappers, in songs released between 2015 and 2016. Gangsta rap is a subgenre of Hip-Hop that emphasises ‘the rappers’ street credibility in texts describing tough [urban] neighbourhoods, violence, misogyny, and the achievement of material wealth’ (Bower 379). The culture of Gangsta rap attracts overwhelmingly negative mainstream media coverage (Muggs; Roper) and is often accused of corrupting ‘standard’ language (Krummheuer). The lyrical content of the songs is indeed controversial and has been previously covered by many academics (Byrd; Littlejohn and Putnam; Bower; Rollefson), as has the emergence of Hip-Hop in Germany (Elflein; Pennay; Nitzsche and Grünzweig).
This paper aims to describe different patterns of syntactic extensions of turns-at-talk in mundane conversations in Czech. Within interactional linguistics, same-speaker continuations of possibly complete syntactic structures have been described for typologically diverse languages, but have not yet been investigated for Slavic languages. Based on previously established descriptions of various types of extensions (Vorreiter 2003; Couper-Kuhlen & Ono 2007), our initial description shall therefore contribute to the cross-linguistic exploration of this phenomenon. While all previously described forms for continuing a turn-constructional unit seem to exist in Czech, some grammatical features of this language (especially free word order and strong case morphology) may lead to problems in distinguishing specific types of syntactic extensions. Consequently, this type of language allows for critically evaluating the cross-linguistic validity of the different categories and underlines the necessity of analysing syntactic phenomena within their specific action contexts.
Data Management is one of the core activities of all CLARIN centres providing data and services for the academia. In PARTHENOS, European initiatives and projects in the area of the humanities and social sciences assembled to compare policies and procedures. One of the areas of interest is data management. The data management landscape shows a lot of proliferation, for which an abstraction level is introduced to help centres, such as CLARIN centres, in the process of providing the best possible services to users with data management needs.
The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required,for instance, when an institution faces reorganisation or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.