diff --git a/README.md b/README.md
index 73650d90f891f5b4c3aac9517245fcbd763149ad..73729fe49de881a496b8a01986b7aa5ed6e74281 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ A commonvoice-fi recipe for training ASR engine using Kaldi. The following recip
 Use docker to run the container. **GPU is required** to train `tdnn_chain`, else the script can train only up to `tri3b`.
 
 ## Downloading SRILM
-Before building docker, SRILM file need to be downloaded. You can download it from [here](http://www.speech.sri.com/projects/srilm/download.html). Once the file is downloaded, remove version name (e.g. from `srilm-1.7.3.tar.gz` to `srilm.tar.gz` and place it inside `docker` directory. Your `docker` directory should contains 2 files: `dockerfile`, and `srilm.tar.gz`.
+Before building docker, SRILM file needs to be downloaded. You can download it from [here](http://www.speech.sri.com/projects/srilm/download.html). Once the file is downloaded, remove version name (e.g. from `srilm-1.7.3.tar.gz` to `srilm.tar.gz` and place it inside `docker` directory. Your `docker` directory should contain 2 files: `dockerfile`, and `srilm.tar.gz`.
 
 ## Run docker and attach command line
 Since gpu is required you are going to need the kaldi-gpu-image.