diff --git a/R/pkg.R b/R/pkg.R
index 35363e9..ffc0e1d 100644
--- a/R/pkg.R
+++ b/R/pkg.R
@@ -2,7 +2,7 @@
 #'
 #' R is a great tool, but processing large text files with data is cumbersome.
 #' \code{chunked} helps you to process large text files with dplyr while loading
-#' only a part of the data in memory. It builds on the execellent R package LaF
+#' only a part of the data in memory. It builds on the excellent R package LaF
 #' Processing commands are writing in dplyr syntax, and \code{chunked}
 #'  (using \code{LaF})
 #'  will take care that chunk by chunk is processed, taking far less memory
diff --git a/R/write.R b/R/write.R
index 414fe3a..2ee5c2e 100644
--- a/R/write.R
+++ b/R/write.R
@@ -59,7 +59,7 @@ write_table_chunkwise <- function(x, file="", sep="\t", dec=".", col.names=TRUE,
   write_csv_chunkwise(x=x, file=file, sep=sep, dec=dec, col.names=col.names, row.names=row.names, ...)
 }
 
-#' Genereric function to write chunk by chunk
+#' Generic function to write chunk by chunk
 #' @export
 #' @param x chunked input, e.g. created with \code{read_chunkwise} or it can be a \code{tbl_sql} object.
 #' @param dest where should the data be written. May be a character or