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Simon Hengchen

Forskare

Simon Hengchen
Forskare
simon.hengchen@gu.se

Postadress: Box 200, 40530 Göteborg
Besöksadress: Renströmsgatan 6 , 41255 Göteborg


Institutionen för svenska språket (Mer information)
Box 200
405 30 Göteborg
www.svenska.gu.se
svenska.exp@svenska.gu.se
Besöksadress: Renströmsgatan 6 , 412 55 Göteborg

Om Simon Hengchen

  • PhD i informationsvetenskap
  • MSc i informationsvetenskap
  • MA i germanska språk

Mitt forskningsfokus är lexikosemantiska förändringar: när, varför, och hur ord förändrar betydelse. Mer information på Språkbankens sida: click.

 

Utvalda publikationer

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, 2019

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, 2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, 2019

Senaste publikationer

The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute
Barbara McGillivray, Beatrice Alex, Sarah Ames, Guyda Armstrong, David Beavan et al.
White paper, Övrigt 2020
Övrigt

Dataset for Temporal Analysis of English-French Cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, Paper i proceeding 2020
Paper i proceeding

Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study
Mark J. Hill, Simon Hengchen
Digital Scholarship in the Humanities, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, Paper i proceeding 2019
Paper i proceeding

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, Paper i proceeding 2019
Paper i proceeding

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, Paper i proceeding 2019
Paper i proceeding

The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies
Nina Tahmasebi, Simon Hengchen
Samlaren : tidskrift för svensk litteraturvetenskaplig forskning, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

When Does it Mean? Detecting Semantic Change in Historical Texts
Simon Hengchen
Brussels, Université libre de Bruxelles, Doktorsavhandling 2017
Doktorsavhandling

Utvalda publikationer

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, 2019

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, 2019

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, 2019

Visar 1 - 8 av 8

2020

The challenges and prospects of the intersection of humanities and data science: A White Paper from The Alan Turing Institute
Barbara McGillivray, Beatrice Alex, Sarah Ames, Guyda Armstrong, David Beavan et al.
White paper, Övrigt 2020
Övrigt

Dataset for Temporal Analysis of English-French Cognates
Esteban Frossard, Mickael Coustaty, Antoine Doucet, Adam Jatowt, Simon Hengchen
Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, European Language Resources Association, Paper i proceeding 2020
Paper i proceeding

2019

Quantifying the impact of dirty OCR on historical text analysis: Eighteenth Century Collections Online as a case study
Mark J. Hill, Simon Hengchen
Digital Scholarship in the Humanities, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith et al.
Proceedings of the 1st International Workshop on Computational Approaches to Historical Language Change, Association for Computational Linguistics, Paper i proceeding 2019
Paper i proceeding

From the paft to the fiiture: A fully automatic NMT and word embeddings method for OCR post-correction
Mika Hämäläinen, Simon Hengchen
International Conference Recent Advances in Natural Language Processing, RANLP, Paper i proceeding 2019
Paper i proceeding

Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change
Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, July 28 - August 2, 2019, pp. 457–470, Association for Computational Linguistics, Paper i proceeding 2019
Paper i proceeding

The Strengths and Pitfalls of Large-Scale Text Mining for Literary Studies
Nina Tahmasebi, Simon Hengchen
Samlaren : tidskrift för svensk litteraturvetenskaplig forskning, Artikel i vetenskaplig tidskrift 2019
Artikel i vetenskaplig tidskrift

2017

When Does it Mean? Detecting Semantic Change in Historical Texts
Simon Hengchen
Brussels, Université libre de Bruxelles, Doktorsavhandling 2017
Doktorsavhandling

Visar 1 - 8 av 8

Sidansvarig: Sven Lindström|Sidan uppdaterades: 2017-08-31
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