diff --git a/src/lib/index.ts b/src/lib/index.ts
index 791c2b6..59a9cdd 100644
--- a/src/lib/index.ts
+++ b/src/lib/index.ts
@@ -5,6 +5,7 @@ import guessLanguage from './tools/guess_language'
 const defaults: IOptions = {
   delimiters: ['\\s+'],
   language: 'english',
+  blockwords: [],
 }
 
 export default function process(text: string, opts?: IOptions): string[] {
@@ -12,6 +13,10 @@ export default function process(text: string, opts?: IOptions): string[] {
   if (!opts || !opts.language) {
     options.language = guessLanguage(text)
   }
+  
+  if (!opts || !opts.blockwords) {
+    options.blockwords = []
+  }
   const params = merge(options, { corpus: text })
   const keywords = rake(params)
   return keywords
diff --git a/src/lib/rake.ts b/src/lib/rake.ts
index eb9f422..f410f45 100644
--- a/src/lib/rake.ts
+++ b/src/lib/rake.ts
@@ -24,7 +24,7 @@ export function rake(params: IParameters): string[] {
 
   // step 2: loop through all words, generate ngrams/stems/phrases/metrics
   const stemmer = new Stemmer(params.language)
-  const stopwords = load(params.language)
+  const stopwords = params.blockwords
   const parser = new Parser(stemmer, stopwords).process(wordArray)
 
   // step 3: build a co-occurence matrix for all words (-> stems)