To do great NLP, you have to know a little about linguistics, a lot about machine learning, and almost everything about the latest research. The people who fit this description seldom join small companies. Most are broke — they’ve just finished grad school. If they don’t want to stay in academia, they join Google, IBM, etc.
... Full processing pipeline completes in 7ms per document, including accurate tagging and parsing. All strings are mapped to integer IDs, tokens are linked to embedded word representations, and a range of useful features are pre-calculated and cached.