Summary of the paper

Title Using a Corpus of English and Chinese Political Speeches for Metaphor Analysis
Authors Kathleen Ahrens, Huiheng Zeng and Shun-han Rebekah Wong
Abstract In this article, we present details of our corpus of political speeches and introduce using the corpus for metaphor analysis in political discourse. Although specialized corpora on a variety of topics are now easily available, online political corpora available for public use are scarce. The database our research team has developed contains more than six million English and Chinese political speeches and is currently available free online. Researchers in many fields are able to use the multiple search functions on the website for their specific research purposes. In particular, the corpus is useful for researchers focusing on political speeches and conceptual metaphor analyses. From the perspective of metaphor study, we have taken advantage of several functions to facilitate the corpus-based metaphor analyses. In short, this database enriches the current bilingual resources and contributes to the evaluation of political language by linguists and political scientists.
Topics Other, Corpus (Creation, Annotation, Etc.), Semantics
Full paper Using a Corpus of English and Chinese Political Speeches for Metaphor Analysis
Bibtex @InProceedings{AHRENS18.571,
  author = {Kathleen Ahrens and Huiheng Zeng and Shun-han Rebekah Wong},
  title = "{Using a Corpus of English and Chinese Political Speeches for Metaphor Analysis}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
  }
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