Readme

This repository contains data and code accompanying the paper "Imputing typological values via phylogenetic inference" (submission to the SIGTYP 2020 Shared Task).

All scripts were developed with Julia v1.5.0. You need an R installation (I used version 3.6.3) with the libraries phytools and ape installed.

For the error analysis, you also need the R-packages rstan and brms to be installed.

Workflow

In the directory code:

• julia extractCLDF.jl train: convert the training data to CLDF format
• julia extractCLDF.jl dev convert the development data to CLDF format
• julia extractCLDF.jl test convert the test data to CLDF format
• julia imputeASJP.jl: merging the WALS data with ASJP data and identifying proxies for languages without a corresponding ASJP doculect
• julia fitKNN.jl: estimate the optimal value for $k$ in $k$-nearest neighbor classification
• julia finalModel.jl: perform the data imputation task
• julia wrapup.jl: reformat the prediction to the format required by the Shared Task
• julia kfoldPrediction.jl performs a 20-fold cross-validation
• julia errorAnalysis.jl performs the error analysis described in the paper