Models, forests, and trees of York English: Was/were variation as a case study for statistical practice
By Sali A. Tagliamonte, R. Harald Baayen. Language Variation and Change, 2012
522 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Language and Linguistics
View Paper: https://www.semanticscholar.org/paper/d217452371e0da41180b92eb23b93406d8a634d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jalal Al-Tamimi
- Petar Milin
- Lee H. Wurm
- S. A. Fisicaro
- Michael Ramscar
- Martijn B. Wieling
- Simonetta Montemagni
- John Nerbonne
In Language and Linguistics
- Jalal Al-Tamimi
- Petar Milin
- Michael Ramscar
- Martijn B. Wieling
- Simonetta Montemagni
- John Nerbonne
- L. Janda
- Harald Baayen
Citations in the corpus
- Making choices in Russian: pros and cons of statistical methods for rival forms (2013, background): “The first 210 subdiscipline in linguistics to make use of logistic models is sociolinguistics 211 (Cedergren and Sankoff 1974; see also Tagliamonte and Baayen 2012).”
- What residualizing predictors in regression analyses does (and what it does not do) (2014, background): “One disadvantage is that even with modern computers and algorithms, computation of the models can take many hours (Tagliamonte & Baayen, 2012).”
- Lexical differences between Tuscan dialects and standard Italian: Accounting for geographic and sociodemographic variation using generalized additive mixed modeling (2013, methodology): “Since the 1970s, the most common method in sociolinguistic research has been logistic regression (Cedergren & Sankoff 1974), and more recently, mixed-effects regression models have been applied to sociolinguistic data (Johnson 2009, Tagliamonte & Baayen 2012, Wieling et al. 2011).”
- Revisiting acoustic correlates of pharyngealization in Jordanian and Moroccan Arabic: Implications for formal representations (2017, methodology): “They have been applied to sociolinguistic data (for a detailed description of these methods, see Tagliamonte & Baayen, 2012), and also to acoustic cue weighting in perception (Brown et al., 2014).”
- Frequency in lexical processing (2016, methodology): “To address this issue, we made use of a random forest (Breiman, 2001; Strobl, Malley, & Tutz, 2009; Tagliamonte & Baayen, 2012).”