@InProceedings{Gebauer2025_1243,
<br/>   author = {Christopher Gebauer and Lars Rumberg and Fabian Witt and Edith Beaulac and Hanna Ehlert and Jörn Ostermann},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2025},
<br/>   title = {Rule-based grammatical error detection on spontaneous children’s speech},
<br/>   year = {2025},
<br/>   editor = {Sven Grawunder},
<br/>   month = mar,
<br/>   pages = {117--124},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {Successful language acquisition is fundamental for the participation in
all relevant areas of life. Unfortunately, developmental language disorders (DLD)
are the most common developmental disorders during childhood. An early identification of children with DLD is necessary to ensure educational success and to
significantly reduce the risk for issues in mental health, social behavior, and skill
development in various areas. In this work we explore the suitability of a rulebased grammatical error correction system for written text, to assess grammatical
correctness of spontaneous children’s speech. We evaluate the tool’s capabilities on
kidsTALC, a corpus containing dialogues of children with speech language therapists in different elicitation contexts, using the manual and automatically generated
transcriptions. A qualitative analysis reveals that disfluencies and a lack of context
are the leading causes for misclassifications. Nevertheless, the system achieves a
FG1-score of 0.92 when applied to manual transcriptions.},
<br/>   isbn = {978-3-95908-803-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Benchmarking ASR and TTS},
<br/>   url = {https://www.essv.de/pdf/2025_117_124.pdf},
<br/>}