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A Report on the 2017 Native Language Identification Shared Task
TLDR
Native Language Identification (NLI) is the task of automatically identifying the native language (L1) of an individual based on their language production in a learned language. Expand
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Robust Systems for Preposition Error Correction Using Wikipedia Revisions
TLDR
We show that existing methods for training preposition error correction systems, whether using well-edited text or error-annotated corpora, do not generalize across very different test sets. Expand
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Is getting the right answer just about choosing the right words? The role of syntactically-informed features in short answer scoring
TLDR
We introduce the largest corpus currently available for short-answer scoring, provide an overview of methods used in the shared task using this data, and explore the extent to which more syntactically-informed features can contribute to the short answer scoring task in a way that avoids the question-specific manual effort of the knowledge engineering approach. Expand
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Spoken Text Difficulty Estimation Using Linguistic Features
TLDR
We present an automated method for estimating the difficulty of spoken texts for use in generating items that assess non-native learners’ listening proficiency. Expand
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A Two-Stage Approach for Generating Unbiased Estimates of Text Complexity
TLDR
We introduce TextEvaluator, a fully-automated text analysis system designed to facilitate such work. Expand
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The TextEvaluator Tool
This article describes TextEvaluator, a comprehensive text-analysis system designed to help teachers, textbook publishers, test developers, and literacy researchers select reading materials that areExpand
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Online Readability and Text Complexity Analysis with TextEvaluator
TLDR
We have developed the TextEvaluator system for providing text complexity and Common Core-aligned readability information. Expand
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Helping Teachers and Test Developers Select Texts for Use in Instruction and Assessment
TLDR
This article describes TextEvaluator, a comprehensive text-analysis system designed to help teachers, textbook publishers, test developers, and literacy researchers select reading materials that are consistent with the textcomplexity goals outlined in the Common Core State Standards. Expand
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Writing Mentor: Self-Regulated Writing Feedback for Struggling Writers
TLDR
Writing Mentor is a free Google Docs add-on designed to provide feedback to struggling writers and help them improve their writing in a self-paced and self-regulated fashion. Expand
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Writing Mentor: Writing Progress Using Self-Regulated Writing Support
The Writing Mentor TM (WM) application is a Google Docs add-on designed to help students improve their writing in a principled manner and to promote their writing success in postsecondary settings.Expand
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