Juman++ is a Japanese morphological analyzer and tokenizer that segments text and assigns part-of-speech tags. It employs a recurrent neural network language model (RNNLM) to evaluate semantic plausibility of word sequence interpretations, improving disambiguation accuracy over traditional rule-based analyzers. Version 2 offers substantially improved analysis speed while maintaining accuracy.