This paper describes the Nara Institute of Science and Technology's (NAIST) submission to the 2014 Workshop on Asian Translation's four translation tasks. All systems are based on forest-to-string (F2S) translation, in which the input sentence is first parsed using a syntactic parser, then a forest of possible syntactic analyses is translated into the target language. In addition to the baseline F2S system, we add rescoring using a recurrent neural network language model (RNNLM), which allows

more »

... r more fluent output. The resulting system achieved the highest results in both automatic and manual evaluation for all four of the language pairs targeted by the workshop.