On the use of machine translation and topic-modeling to analyze non-parallel multilingual corpora: A case study in the history of philosophy of science

This release includes the code and data used in: Malaterre, Christophe, and Francis Lareau. 2022. "The early days of contemporary philosophy of science: Novel insights from machine translation and topic-modeling of non-parallel multilingual corpora". Synthese 200, 242, https://doi.org/10.1007/s11229-022-03722-x

{"references": ["Malaterre, Christophe, and Francis Lareau. 2022. \"The early days of contemporary philosophy of science: Novel insights from machine translation and topic-modeling of non-parallel multilingual corpora\". Synthese 200, 242, https://doi.org/10.1007/s11229-022-03722-x"]}

Keywords

Non parallel multilingual corpus, Topic model, LDA, Philosophy of science, History of philosophy of science, Machine translation

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average