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-rw-r--r--chapters/core/implementation/03-translation.tex8
1 files changed, 4 insertions, 4 deletions
diff --git a/chapters/core/implementation/03-translation.tex b/chapters/core/implementation/03-translation.tex
index b86e060..92f47e5 100644
--- a/chapters/core/implementation/03-translation.tex
+++ b/chapters/core/implementation/03-translation.tex
@@ -8,8 +8,8 @@ at most one connection. This limitation is solved by utilizing the \textit{Dup}
necessary copies of a value required by the next operations. Since nodes do not know how successor
nodes will utilize their outputs, the translation layer traverses the DAG in reverse order
to be able to instantiate the correct number of \textit{Dup} agents. The main algorithm, illustrated
-in \textbf{\Cref{alg:onnx-to-in}}, maintains an \textit{interactions} dictionary data-structure, that maps each tensor
-name to a list of ports, to keep track of the graph traversal. The ONNX operators supported are Gemm
+in \textbf{\Cref{alg:onnx-to-in}}, maintains an \textit{interaction} dictionary data structure that maps each tensor
+name to a list of ports to keep track of the graph traversal. The ONNX operators supported are Gemm
(General matrix multiplication) and ReLU.
\begin{algorithm}[H]
@@ -81,8 +81,8 @@ chains of agents, opting instead for balanced binary trees for signal distributi
multiple output) and signal reduction (multiple input to single output). As \textbf{\Cref{alg:balanced-fan-in}}
and \textbf{\Cref{alg:balanced-fan-out}} illustrate, the depth of agent chains (especially \textit{Dup} chains)
is limited to $O(\log N)$. The two algorithms are very similar; the difference is in how they wire the
-agents together: in the \textit{Fan-In} the principal port of the agents are facing the leaves, while in the
-\textit{Fan-Out} they face the root.
+agents together: in the \textit{Fan-In}, the principal ports of the agents are facing the leaves, while in the
+\textit{Fan-Out}, they face the root.
\begin{algorithm}[H]
\caption{Balanced Fan-In}