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Found 10 papers, 0 papers with code
Data-driven Identification of Idioms in Song Lyrics
The automatic recognition of idioms poses a challenging problem for NLP applications.
Count-Based and Predictive Language Models for Exploring DeReKo
We present the use of count-based and predictive language models for exploring language use in the German Reference Corpus DeReKo.
RKorAPClient: An R Package for Accessing the German Reference Corpus DeReKo via KorAP
Making corpora accessible and usable for linguistic research is a huge challenge in view of (too) big data, legal issues and a rapidly evolving methodology.
Addressing Cha(lle)nges in Long-Term Archiving of Large Corpora
This paper addresses long-term archival for large corpora.
Evaluating a Dependency Parser on DeReKo
We evaluate a graph-based dependency parser on DeReKo, a large corpus of contemporary German.
KorAP Architecture ― Diving in the Deep Sea of Corpus Data
KorAP is a corpus search and analysis platform, developed at the Institute for the German Language (IDS).
Access control by query rewriting: the case of KorAP
We present an approach to an aspect of managing complex access scenarios to large and heterogeneous corpora that involves handling user queries that, intentionally or due to the complexity of the queried resource, target texts or annotations outside of the given userÂ’s permissions.
Recent Developments in DeReKo
This paper gives an overview of recent developments in the German Reference Corpus DeReKo in terms of growth, maximising relevant corpus strata, metadata, legal issues, and its current and future research interface.
The New IDS Corpus Analysis Platform: Challenges and Prospects
The aim of this project is to develop an innovative corpus analysis platform to tackle the increasing demands of modern linguistic research.
