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This NECTAR track paper (NECTAR: new scientific and technical advances in research) summarizes recent research and curation activities at the CLARIN center Stuttgart. CLARIN is a European initiative to advance research in humanities and social sciences by providing language-based resources via a shared distributed infrastructure. We provide an overview of(More)
—We present a morphological analyzer for Spanish called SMM. SMM is implemented in the grammar development framework Malaga, which is based on the formalism of Left-Associative Grammar. We briefly present the Malaga framework, describe the implementation decisions for some interesting morphological phenomena of Spanish, and report on the evaluation results(More)
In this paper we compare the state of the art of language awareness in source code editors and word processors. Language awareness refers to functions operating on the elements and structures of a formal or natural language. Language-aware functions allow users to work with meaningful units, increasing efficiency and reducing errors. While all modern source(More)
Unlike programmers, authors only get very little support from their writing tools, i.e., their word processors and editors. Current editors are unaware of the objects and structures of natural languages and only offer character-based operations for manipulating text. Writers thus have to execute complex sequences of low-level functions to achieve their(More)
Research on differencing and versioning in computer science, writing research, and scholarly editing are all concerned with the evolution of texts and documents through various drafts, versions, and changes between different stages. While the different disciplines all have their own perspectives, on closer inspection, there is a large overlap of concerns.(More)
A key difference between traditional humanities research and the emerging field of digital humanities is that the latter aims to complement qualitative methods with quantitative data. In linguistics, this means the use of large corpora of text, which are usually annotated automatically using natural language processing tools. However, these tools do not(More)
This paper presents a novel type of test, halfway between multiple-choice and free-form text, used for training and assessment in several courses in a Computational Linguistics curriculum. We will describe the principles of the test, the different ways in which it can be used by learners, and the tools developed for authoring. Use of this type of test is(More)