Annotating Orthographic Target Hypotheses in a German L1 Learner Corpus

Laarmann-Quante, Ronja; Ortmann, Katrin; Ehlert, Anna; Vogel, Maurice; Dipper, Stefanie

doi:10.18653/v1/w17-5051

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…Where applicable, we use formatting to highlight the relevant features of the annotation in the corpus.) The IAA for the target hypotheses was high (90.78%, for details, see Laarmann-Quante, Ortmann, Ehlert, Vogel, et al, 2017 The target hypothesis serves as the anchor for (almost) all further annotations. These can be subsumed under four categories.…”

Section: The Target Hypothesis and Its Annotationsmentioning

confidence: 97%

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The Litkey Corpus: A richly annotated longitudinal corpus of German texts written by primary school children

et al. 2019

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Compared to early language development, later changes to the language system during orthography and literacy acquisition have not yet been researched in detail. We present a longitudinal corpus of texts on short picture stories written by German primary school children between grades 2 and 4 and grades 3 and 4. It includes 1,922 texts with 212,505 tokens (6,364 types) from 251 children. For each text, rich metadata is available, including age, grade and linguistic background (at least 60% of the children were multilingual). To our knowledge, our corpus is the largest longitudinal corpus of written texts by children at primary school age. Each word is included in its original spelling as well as in a normalized form (target hypothesis), specifying the intended word form, which we corrected for orthographic but not grammatical errors. Original and target word forms are aligned characterwise and the target word forms are enriched with phonological, syllabic, and morphological information. Additionally, for each target word form, we established key lexical variables, e.g., word frequency or summed bigram frequency, as specified in childLex. Where applicable, we also specify key features of German orthography (e.g., consonant doubling, vowellengthening ). Taken together, this information allows for a detailed assessment of the properties of words that tend to increase the likelihood of spelling errors. The corpus is available in different formats-as tab-delimited annotated token and type based lists, in an XML format, and via the corpus search tool ANNIS.

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Section: The Target Hypothesis and Its Annotationsmentioning

confidence: 97%

“…To assess the quality of the transcription, we measured inter-annotator agreement (IAA). Across all texts, IAA was high (95.8%, κ = .98; for details, see Laarmann-Quante, Ortmann, Ehlert, Vogel, et al, 2017).…”

Section: Transcriptionmentioning

confidence: 99%

The Litkey Corpus: A richly annotated longitudinal corpus of German texts written by primary school children

et al. 2019

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“…Across all texts, IAA was high for both the transcription (95.8%, Fleiss' κ = .98) and the target forms (90.78%). For more details, see Laarmann-Quante et al (2017).…”

Section: Annotations and Annotation Proceduresmentioning

confidence: 99%

The making of the Litkey Corpus, a richly annotated longitudinal corpus of German texts written by primary school children

Laarmann-Quante

Dipper

Belke

2019

Proceedings of the 13th Linguistic Annotation Workshop

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To date, corpus and computational linguistic work on written language acquisition has mostly dealt with second language learners who have usually already mastered orthography acquisition in their first language. In this paper, we present the Litkey Corpus, a richly-annotated longitudinal corpus of written texts produced by primary school children in Germany from grades 2 to 4. The paper focuses on the (semi-)automatic annotation procedure at various linguistic levels, which include POS tags, features of the wordinternal structure (phonemes, syllables, morphemes) and key orthographic features of the target words as well as a categorization of spelling errors. Comprehensive evaluations show that high accuracy was achieved on all levels, making the Litkey Corpus a useful resource for corpus-based research on literacy acquisition of German primary school children and for developing NLP tools for educational purposes. The corpus is freely available under https://www.linguistics.rub. de/litkeycorpus/.

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“…The lack of research can be attributed both to the scarcity of openly available large corpora on children's writings and the hesitancy to use automation for evaluating massive amounts of such data at the required detail. Apart from the WISE tool [7], there is only one other semi-automated approach available for this work for the German language [8], neither of them in high demand.…”

Section: Introductionmentioning

confidence: 99%

Phontasia: A phonics game for German and its effect on orthographic skills–first corpus explorations

Berkling¹

2017

6th Workshop on Child Computer Interaction (WOCCI 2017)

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This paper reports on first results in a study on orthography acquisition for children in German elementary school. One major aspect of German orthography concerns the marking of vowel duration, which occurs in every regular word in German. Therefore, mastery of this pattern has a large impact both on accurate spelling and very likely on reading ability. However, data shows that acquisition of this sub-skill appears difficult for kids to master, even beyond elementary school. In this paper, we explore a corpus of freely written text data that was collected on a weekly basis across several third grade classes in three different schools over a period of three months. Two of the schools participated in an intervention (iPad Phonics Game for German, called Phontasia). Studying the impact of the game on skill acquisition proved difficult because the ability to employ iPads in the classroom was correlated with socio-economic status of the schools. Results from VERA, a German standardized test, were obtained for several classes, allowing us to add one control group to the study. Preliminary results indicate that Phontasia intervention is worth pursuing in future studies to improve orthographic skills.

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Annotating Orthographic Target Hypotheses in a German L1 Learner Corpus

Cited by 3 publications

References 13 publications

The Litkey Corpus: A richly annotated longitudinal corpus of German texts written by primary school children

The Litkey Corpus: A richly annotated longitudinal corpus of German texts written by primary school children

The making of the Litkey Corpus, a richly annotated longitudinal corpus of German texts written by primary school children

Phontasia: A phonics game for German and its effect on orthographic skills–first corpus explorations

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