From eafd8a05f4ecc87c2939ad522cc95ac09e2ed392 Mon Sep 17 00:00:00 2001
From: Andrea Pferscher <andrea.pferscher@ist.tugraz.at>
Date: Wed, 21 Apr 2021 10:01:20 +0200
Subject: [PATCH] minor changes

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 645b5eb714f..e478a4b19e2 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ stochastic behavior, AALpy allows you to learn **observable
 nondeterministic finite-state machines**, **Markov decision processes**, 
 or **stochastic Mealy machines**.
 
-AALpy enables efficient learning by providing a **large array of equivalence oracles**, implementing various **conformance testing** strategies. Learning 
+AALpy enables efficient learning by providing a **large set of equivalence oracles**, implementing various **conformance testing** strategies. Learning 
 is mostly based on Angluin's [L* algorithm](https://people.eecs.berkeley.edu/~dawnsong/teaching/s10/papers/angluin87.pdf), for which AALpy supports a 
 selection of optimizations, including **efficient counterexample processing**.
 Finally, support for learning **abstracted non-deterministic Mealy machines**