Publications

専門はドイツ語のテキストの自然言語処理です。現在、ドイツ語のコーパスの構築とコーパス言語学での応用を主に研究しています。

My research areas are (1) computational linguistics and (2) linguistics.

The bibliography of my papers is available: BibTeX

2018

Kyoko Sugisaki, and Don Tuggener. German Compound Splitting Using the Compound Productivity of Morphemes. In Proceedings of the 14th Conference on Natural Language Processing (KONVENS 2018), pages  141-147, 2018. Download paper

Kyoko Sugisaki, Nicolas Wiedmer, and Heiko Hausendorf: Building a Corpus from Handwritten Picture Postcards: Transcription, Annotation and Part-of-Speech Tagging. In Proceeding of the 11th International Conference on Language Resources and Evaluation (LREC’18), pages 255–259, 2018. Download paper

Kyoko Sugisaki, Nicolas Wiedmer, Marcel Naef, and Heiko Hausendorf: Modeling Thematic Structure in Holiday Picture Postcards. Workshop Computational Methods in the Humanities (COMHUM 2018) (to appear: abstract)

Kyoko Sugisaki, and Michael Prinz: “The brindled university language” – Building a corpus from handwritten historical documents for teaching Linguistics in practice.  13th Teaching and Learning Corpora Conference (TALC) (to appear: abstract)

Michael Prinz, and Kyoko Sugisaki: Vorlesen & mitschreiben – akademische Mündlichkeit und Mehrsprachigkeit im Zürcher „Diachronic Lecture Corpus“. 10. Jahrestagung “Historische Korpuslinguistik” der Gesellschaft für germanistische Sprachgeschichte (GGSG-Jahrestagung 2018) (to appear: abstract)

2017  

 Kyoko Sugisaki. Word and sentence segmentation in German: Overcoming idiosyncrasies in the use of punctuation in private communication. In Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL), 2017.  Download paper

Kyoko Sugisaki. Supertagging for domain adaptation: An approach with law texts. In 16th International Conference on Artificial Intelligence and Law (AI & Law), June 2017. Download paper

2016

Kyoko Sugisaki. Automatic Annotation and Assessment of Syntactic Structures in Law Texts Combining Rule-Based and Statistical Methods. PhD thesis, University of Zurich, February 2016. Download thesis

Kyoko Sugisaki, Martin Volk, Rodrigo Polanco, Wolfgang Alschner, and Dmitriy Skougarevskiy. Building a corpus of multi- lingual and multi-format international investment agreements. In 29th International Conference on Legal Knowledge and Information Systems (Jurix), December 2016. Download paper

Kyoko Sugisaki. Towards data-driven style checking: An example for law texts. In 29th International Conference on Legal Knowledge and Information Systems (Jurix), December 2016. Download paper

2014

Stefan Höfler and K. Sugisaki. Constructing and exploiting an automatically annotated resource of legislative texts. In Proceeding of the 9th International Conference on Language Resources and Evaluation (LREC’14), pages 175–180, May 2014. Download paper

2013

Kyoko Sugisaki and Stefan Höfler. Verbal morphosyntactic disambiguation through topological field recognition in German-language law texts. In C. Mahlow and M. Piotrowski, editors, Systems and frameworks for computational morphology. Springer, Berlin, Heidelberg, 2013. Download paper

Kyoko Sugisaki and Stefan Höfler. Incremental morphosyntactic disambiguation of nouns in German-language law texts. In ESSLLI-13 Workshop on Extrinsic Parse Improvement (EPI), Düsseldorf, 2013. Download paper

2012

Stefan Höfler and Kyoko Sugisaki. From drafting guideline to error detection: Automating style checking for legislative texts. In EACL 2012 Workshop on Computational Linguistics and Writing, pages 9–18. Association for Computational Linguistics, April 2012. Download paper

2011

Stefan Höfler, Alexandra Bünzli, and Kyoko Sugisaki. Detecting legal definitions for automated style checking in draft laws. Technical Report CL-2011.01, 2011. Download paper

2010

Kyoko Sugisaki. Case, word order, grammatical function and information structure in Japanese. Master’s thesis, University of Bielefeld, Germany, 2011. Download thesis