Formally verifying software correctness is a highly manual process. However, because verification proofs often share structure, it is possible to learn from existing proofs to fully automate some formal verification. The goal of this paper is to improve proof synthesis and enable fully automating more verification. Interactive theorem provers, such as the Coq proof assistant, allow developers to write partial proofs, observe the semantics of the proof state thus far, and then attempt more progress. Knowing the proof state semantics is a significant aid. Recent research has shown that the proof state can help predict the next step. In this paper, we present TacTok, the first technique that attempts to fully automate proof synthesis by modeling proofs using both the partial proof written thus far and the semantics of the proof state. Thus, TacTok more completely models the information the developer has access to when writing proofs manually. TacTok is open-source. We evaluate TacTok on a benchmark of 26 software projects in Coq, consisting of over 10 thousand theorems. We compare our approach to two tools, CoqHammer, the state-of-the-art proof synthesis technique, and ASTactic, a proof synthesis technique that models proof state. We find that TacTok is complementary to CoqHammer and ASTactic: for 24 out of the 26 projects, TacTok can synthesize proofs for some theorems prior tools cannot. Together with TacTok, 11.5% more theorems can be proven automatically than by CoqHammer alone, and 20.0% than by ASTactic alone. Compared to a combination of CoqHammer and ASTactic, TacTok can prove an additional 3.6% more theorems, proving 115 theorems no tool could previously prove. Overall, our experiments provide evidence that partial proof and proof state semantics, together, provide useful information for proof modeling.