diff --git a/doc/KEYWORDS.md b/doc/KEYWORDS.md
index ac198964..90ae2f28 100644
--- a/doc/KEYWORDS.md
+++ b/doc/KEYWORDS.md
@@ -1,27 +1,24 @@
 Posterior keywords
 ==================
 
-Below are the definition of some of the keywords used. These are tags added to posterior that we __known__. Hence, there might exist posteriors that should have the keyword where it is currently missing. If you see this, please file an issue and we will try to fix it. 
+Below are the definition of some of the keywords used. These are tags added to posterior that we __know__. Hence, there might exist posteriors that should have the keyword where it is currently missing. If you see this, please file an issue and we will fix it. 
 
-```easy```: Posteriors that can be computed with standard Stan settings (adapt delta = 0.8) without any divergent transitions for 10 000 draws and on average uses less than 100 leapfrog steps.
+```easy```: Posteriors that can be computed with standard Stan settings (adapt delta = 0.8) without any divergent transitions for 10 000 draws and on average use less than 100 leapfrog steps per iteration.
 
-```slow```: Posteriors that takes more than 1h to run 1000 iterations/warmup on a standard CPU. The difficulties can be due to different reasons.
+```slow```: Posteriors that take more than 1h to run 1000 iterations/warmup on a standard CPU. The difficulties can be due to different reasons.
 
+```arm book```: Posteriors that can be found in "Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press."
 
-```arm book```: Posteriors that can be found in Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge university press.
+```pathfinder paper```: Posteriors used in "Zhang, L., Carpenter, B., Gelman, A., & Vehtari, A. (2022). Pathfinder: Parallel quasi-Newton variational inference. Journal of Machine Learning Research, 23(306), 1-49."
 
-```pathfinder paper```: Posteriors used in Zhang, L., Carpenter, B., Gelman, A., & Vehtari, A. (2022). Pathfinder: Parallel quasi-Newton variational inference. Journal of Machine Learning Research, 23(306), 1-49.
+```bpa book```: Posteriors translated by Hiroki Itô from "Kéry, M., & Schaub, M. (2011). Bayesian population analysis using WinBUGS: a hierarchical perspective. Academic Press."
 
-```bpa book```: Posteriors translated by Hiroki Itô from Kéry, M., & Schaub, M. (2011). Bayesian population analysis using WinBUGS: a hierarchical perspective. Academic Press.
+```stan benchmark```: Posteriors used in the Stan repository "Benchmark Models for Evaluating Algorithm Accuracy. https://github.com/stan-dev/stat_comp_benchmarks".
 
-```stan benchmark```: Early posteriors used in the Stan repository "Benchmark Models for Evaluating Algorithm Accuracy". The repository can be found here:
-https://github.com/stan-dev/stat_comp_benchmarks
+```stan case study```: Posteriors from "Stan cases studies. https://mc-stan.org/users/documentation/case-studies.html".
 
-```stan case study```: Posteriors for Stan cases studies. See the following URL for more information:
-https://mc-stan.org/users/documentation/case-studies.html
+```warmup paper```: Posteriors used in "Bales, B., Pourzanjani, A., Vehtari, A., & Petzold, L. (2019). Selecting the metric in Hamiltonian monte carlo. arXiv preprint arXiv:1905.11916."
 
-```warmup paper```: Posteriors used in Bales, B., Pourzanjani, A., Vehtari, A., & Petzold, L. (2019). Selecting the metric in Hamiltonian monte carlo. arXiv preprint arXiv:1905.11916.
+```bugs examples``` Posteriors from "BUGS example models and data. https://github.com/stan-dev/example-models/tree/master/bugs_examples".
 
-```bugs examples``` Posteriors from BUGS example models and data. See the following URL for more information: https://github.com/stan-dev/example-models/tree/master/bugs_examples
-
-```stan examples``` Posteriors from Stan examples at: https://github.com/stan-dev/example-models
+```stan examples``` Posteriors from "Stan examples. https://github.com/stan-dev/example-models".