typos

Author: jordimas

docs/faq.md

@@ -16,7 +16,7 @@ CTranslate2 addresses these issues in several ways:
 
 Here are some scenarios where this project could be used:
 
-* You want to accelarate Transformer models for production usage, especially on CPUs.
+* You want to accelerate Transformer models for production usage, especially on CPUs.
 * You need to embed models in an existing C++ application without adding large dependencies.
 * Your application requires custom threading and memory usage control.
 * You want to reduce the model size on disk and/or memory.

docs/translation.md

@@ -81,7 +81,7 @@ It is a text file where each line has the following format:
 src_1 src_2 ... src_N<TAB>tgt_1 tgt_2 ... tgt_K
 ```
 
-If the source N-gram is empty (N = 0), the assiocated target tokens will always be included in the reduced vocabulary.
+If the source N-gram is empty (N = 0), the associated target tokens will always be included in the reduced vocabulary.
 
 ```{hint}
 See [here](https://github.com/OpenNMT/papers/tree/master/WNMT2018/vmap) for an example on how to generate this file.