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1	H2, E2, ERK1 Children's Writing
	Berkling, Kay. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018
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2	H2, E2, ERK1 Children's Writing ...
	Berkling, Kay. - : Linguistic Data Consortium, 2018
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3	H1 Children's Writing
	Berkling, Kay. - : Linguistic Data Consortium, 2016. : https://www.ldc.upenn.edu, 2016
	Abstract: Introduction H1 Children's Writing was developed by the Cooperative State University Baden-Württemberg, University of Education. It consists of 996 texts written over three months by 88 German school children age seven through eleven years. The data in this corpus was collected by an elementary school in Baden Württemberg, Germany and digitized at the Cooperative State University during the second half of the 2014/2015 school year. Three second and third grade classrooms participated in the collection. Texts were written within regular class settings. The students were presented with a picture and were asked to write a story, to describe the picture or if unable to write a text, to list what they saw in the picture. The pictures were designed to enhance the output with respect to important spelling error categories, namely, the marking of short vowels with a silent consonant letter and the correct spelling of the long vowel. The children were allowed at least 15 minutes to write the texts. This exercise was repeated weekly for 12 weeks. LDC has also released H2, E2, ERK1 Children's Writing (LDC2018T05). Data Most of the participants were multilingual. Out of 85 children for whom metadata is available, 57 students were multilingual speakers and 28 students were monolingual German speakers. The following metadata is included for each text in the database: school week of collection; school type (always elementary school); age; gender; grade/classroom; language spoken at home; and school materials used for German (Jojo). In all, 996 texts representing 62,764 tokens were collected. The texts were digitized in two forms: (1) the original text, including all errors (achieved), and (2) the intended (target) text, where all spelling errors were removed. Annotations were added to both the achieved text and the target text to distinguish words that should not be analyzed for spelling errors, such as names or foreign words. For sentence-level analysis, syntax errors were annotated by marking substitutions, deletions and insertions at the word level. In such cases, the used word was analyzed for spelling, and the correct word was used for sentence structure analysis. Original handwriting is presented as pdf documents and the converted text as UTF-8 plain text in csv documents. Samples Please view the following samples: * Handwriting Sample * Original Transcription * Corrected Transcription Updates None at this time.
	URL: https://catalog.ldc.upenn.edu/LDC2016T01
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4	H1 Children's Writing ...
	Berkling, Kay. - : Linguistic Data Consortium, 2016
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5	Data Exploration of Sentence Structures and Embellishments in German texts: Comparing Children’s Writing vs Literature
	Lavalley, Rémy [Verfasser]; Berkling, Kay [Verfasser]. - Hildesheim : Universitätsbibliothek Hildesheim, 2014
	DNB Subject Category Language
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6	Data Exploration of Sentence Structures and Embellishments in German texts: Comparing Children’s Writing vs Literature
	Berkling, Kay; Lavalley, Rémy. - 2014
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7	Automatische Analyse von Rechtschreibfähigkeit auf Basis von Speech-Processing-Technologien ...
	Fay, Johanna; Berkling, Kay; Stüker, Sebastian. - : Schneider-Verlag Hohengehren, 2012
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8	Automatische Analyse von Rechtschreibfähigkeit auf Basis von Speech-Processing-Technologien
	Stüker, Sebastian; Fay, Johanna; Berkling, Kay
	In: Didaktik Deutsch : Halbjahresschrift für die Didaktik der deutschen Sprache und Literatur 17 (2012) 33, S. 14-36 (2012)
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9	Towards Context-dependent Phonetic Spelling Error Correction in Children's Freely Composed Text for Diagnostic and Pedagogical Purposes
	Stüker, Sebastian; Fay, Johanna; Berkling, Kay. - : Curran Associates, Inc., 2011
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10	Synthesis of child speech with HMM adaptation and voice conversion
	Watts, Oliver; Yamagishi, Junichi; King, Simon...
	In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 18 (2010) 5, 1005-1016
	BLLDB
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11	Synthesis of Child Speech With HMM Adaptation and Voice Conversion
	Watts, Oliver; Yamagishi, Junichi; King, Simon. - : IEEE, 2010
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12	HMM Adaptation and Voice Conversion for the Synthesis of Child Speech: A Comparison
	Watts, Oliver; Yamagishi, Junichi; King, Simon. - 2009
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13	HMM-based synthesis of child speech
	Watts, Oliver; Yamagishi, Junichi; Berkling, Kay. - 2008
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14	Automatic language identification
	Zissman, Marc A.; Berkling, Kay M.
	In: Speech communication. - Amsterdam [u.a.] : Elsevier 35 (2001) 1, 115-124
	OLC Linguistik
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15	SCoPE, syllable core and periphery evaluation: Automatic syllabification and foreign accent identification
	Berkling, Kay
	In: Speech communication. - Amsterdam [u.a.] : Elsevier 35 (2001) 1, 125-138
	OLC Linguistik
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16	SCoPE, Syllable Core and Periphery Evaluation: Automatic Syllabification and Application to Foreign Accent Identification
	Berkling, Kay; Vonwiller, Julie; Cleirigh, Chris
	In: DTIC (2000)
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17	Automatic Language Identification
	Zissman, Marc A.; Berkling, Kay M.
	In: DTIC (2000)
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18	Automatic Language Identification with Sequences of Language-Independent Phoneme Clusters.
	Berkling, Kay M.
	In: DTIC AND NTIS (1996)
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