MultiHashEmbed vector docs correction
@@ -123,7 +123,7 @@ def MultiHashEmbed(
attributes are NORM, PREFIX, SUFFIX and SHAPE. This lets the model take into
account some subword information, without constructing a fully character-based
representation. If pretrained vectors are available, they can be included in
- the representation as well, with the vectors table will be kept static
+ the representation as well, with the vectors table kept static
(i.e. it's not updated).
The `width` parameter specifies the output width of the layer and the widths
