  Previous work has predominantly focused on monolingual English semantic
parsing. We, instead, explore the feasibility of Chinese semantic parsing in
the absence of labeled data for Chinese meaning representations. We describe
the pipeline of automatically collecting the linearized Chinese meaning
representation data for sequential-to sequential neural networks. We further
propose a test suite designed explicitly for Chinese semantic parsing, which
provides fine-grained evaluation for parsing performance, where we aim to study
Chinese parsing difficulties. Our experimental results show that the difficulty
of Chinese semantic parsing is mainly caused by adverbs. Realizing Chinese
parsing through machine translation and an English parser yields slightly lower
performance than training a model directly on Chinese data.
