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Found 48 papers, 1 papers with code
Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum
We present a parametrizable approach to exercise generation from authentic texts that addresses the need for digital materials designed to practice the language means on the curriculum in a real-life school setting.
Assessing sentence readability for German language learners with broad linguistic modeling or readability formulas: When do linguistic insights make a difference?
We present a new state-of-the-art sentence-wise readability assessment model for German L2 readers.
Broad Linguistic Complexity Analysis for Greek Readability Classification
This paper explores the linguistic complexity of Greek textbooks as a readability classification task.
Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence
In this paper, we explore the viability of form-based and more fine-grained encodings, such as character or subword representations for question generation.
Towards automatically generating Questions under Discussion to link information and discourse structure
To make this approach useful for analyzing authentic data, Riester, Brunetti {\&} De Kuthy (2018) presented a discourse annotation framework based on explicit pragmatic principles for determining a QUD for every assertion in a text.
Employing distributional semantics to organize task-focused vocabulary learning
They practice using multi-gap learning activities generated from the book focused on words that are central to the targeted lexical space.
Analyzing Linguistic Complexity and Accuracy in Academic Language Development of German across Elementary and Secondary School
We track the development of writing complexity and accuracy in German students{'} early academic language development from first to eighth grade.
Computationally Modeling the Impact of Task-Appropriate Language Complexity and Accuracy on Human Grading of German Essays
Computational linguistic research on the language complexity of student writing typically involves human ratings as a gold standard.
Modeling the Readability of German Targeting Adults and Children: An empirically broad analysis and its cross-corpus validation
Our most successful binary classification model for German readability robustly shows high accuracy between 89. 4{\%}{--}98. 9{\%} for both data sets.
Automatic Focus Annotation: Bringing Formal Pragmatics Alive in Analyzing the Information Structure of Authentic Data
Analyzing language in context, both from a theoretical and from a computational perspective, is receiving increased interest.
Automatic Input Enrichment for Selecting Reading Material: An Online Study with English Teachers
Input material at the appropriate level is crucial for language acquisition.
COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials
This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance.
Generating Feedback for English Foreign Language Exercises
While immediate feedback on learner language is often discussed in the Second Language Acquisition literature (e. g., Mackey 2006), few systems used in real-life educational settings provide helpful, metalinguistic feedback to learners.
Question Generation for Language Learning: From ensuring texts are read to supporting learning
Complementing the focus on meaning and comprehension, we want to highlight the fact that questions can also be used to make learners notice form aspects of the linguistic system and their interpretation.
Advancing Linguistic Features and Insights by Label-informed Feature Grouping: An Exploration in the Context of Native Language Identification
We propose a hierarchical clustering approach designed to group linguistic features for supervised machine learning that is inspired by variationist linguistics.
Towards grounding computational linguistic approaches to readability: Modeling reader-text interaction for easy and difficult texts
Computational approaches to readability assessment are generally built and evaluated using gold standard corpora labeled by publishers or teachers rather than being grounded in observations about human performance.
CTAP: A Web-Based Tool Supporting Automatic Complexity Analysis
Informed by research on readability and language acquisition, computational linguists have developed sophisticated tools for the analysis of linguistic complexity.
Focus Annotation of Task-based Data: A Comparison of Expert and Crowd-Sourced Annotation in a Reading Comprehension Corpus
While the formal pragmatic concepts in information structure, such as the focus of an utterance, are precisely defined in theoretical linguistics and potentially very useful in conceptual and practical terms, it has turned out to be difficult to reliably annotate such notions in corpus data.
Readability-based Sentence Ranking for Evaluating Text Simplification
We propose a new method for evaluating the readability of simplified sentences through pair-wise ranking.
The MERLIN corpus: Learner language and the CEFR
The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data.
CLARA: A New Generation of Researchers in Common Language Resources and Their Applications
CLARA (Common Language Resources and Their Applications) is a Marie Curie Initial Training Network which ran from 2009 until 2014 with the aim of providing researcher training in crucial areas related to language resources and infrastructure.
