Adding typology to lexicostatistics: A combined approach to language classification
By D. Bakker, André Müller, V. Velupillai, Søren Wichmann, Cecil H. Brown, P. Brown, D. Egorov, Robert Mailhammer, A. Grant, E. Holman. 2009
143 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cultural Studies
View Paper: https://www.semanticscholar.org/paper/9037fe9ecd56c1e53ddf293cca1e1d1e8e4ef22e
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In Artificial Intelligence
Citations in the corpus
- Multilingual Neural Machine Translation with Language Clustering (2019, background): “Several kinds of prior knowledge can be leveraged to cluster languages (Paul et al., 2009; Comrie, 1989; Bakker et al., 2009; Holman et al., 2008; Liu and Li, 2010; Chen and Gerdes, 2017; Wu et al., 2018; Leng et al., 2019), such as language family, language typology or other language…”
- The Costs of Babylon—Linguistic Distance in Applied Economics (2013, unknown): “The average similarity across a specific set of words is then taken as a measure for the linguistic distance between the languages (Bakker et al. 2009).”
- Native language, spoken language, translation and trade (2014, unknown): “…(see Brown et al. (2008)), it had a databank covering the lexical aspects (word meanings) of more than 2400 of the world’s nearly 7000 languages (Bakker et al. (2009)).2 By the time we engaged in an exchange with a prominent member of the project, Dik Bakker, in October 2010, there were…”