diff --git a/_episodes/10-lexical-dispersion-plot.md b/_episodes/10-lexical-dispersion-plot.md
index 042ad3a..d57492f 100644
--- a/_episodes/10-lexical-dispersion-plot.md
+++ b/_episodes/10-lexical-dispersion-plot.md
@@ -4,7 +4,7 @@ teaching: 0
exercises: 0
questions:
- "How can I measure how frequently a word appears across the parts of a corpus?"
-- "How can I plot the occurrences of a word and how many words from the beginning of the corpus it appears?"
+- "How can I plot the occurrences of a word and find out after how many words from the beginning of the corpus, does this word appear?"
objectives:
- "Learn how to plot the occurances of specific words as they appear across a document or a corpus."
- "We will use the US Presidential Inaugural Addresses and which are provided with NLTK."
@@ -15,7 +15,7 @@ keypoints:
## Lexical Dispersion Plot
-We can plot lexical dispersion of particular tokens. Lexical dispersion is a measure of how frequently a word appears across the parts of a corpus. This plot notes the occurrences of a word and how many words from the beginning of the corpus it appears (word offsets). This is particularly useful for a corpus that covers a longer time period and for which you want to analyse how specific terms were used more or less frequently over time.
+We can plot lexical dispersion of particular tokens. Lexical dispersion is a measure of how frequently a word appears across the parts of a corpus. This plot notes the occurrences of a word and after how many words from the beginning of the corpus, this word appears (word offsets). This is particularly useful for a corpus that covers a longer time period and for which you want to analyse how specific terms were used more or less frequently over time.
To create a lexical disperson plot, you will first load and import a different corpus, the inaugural corpus which are all US Presidential Inaugural Addresses and which are provided with NLTK.
@@ -44,4 +44,4 @@ targets=['great','good','tax','work','change']
dispersion_plot(inaugural_texts, targets, ignore_case=True, title='Lexical Dispersion Plot')
```
-
\ No newline at end of file
+