Based on the analysis of morphological analysis, syntactic parsing, semantic analysis, along with the research progress of machine translation, spelling check, sentiment analysis and other application technologies, a conclusion can be drawn from it that Filipino is still a language with a relatively lack of language resources. As regards to the natural language processing of Filipino, the existing research is relatively broad but not in-depth, compared with that of English, Chinese and other languages, with a big gap in the research of natural language processing. Compared with other research areas, great progress has been made in the construction of parallel corpus and machine translation for English-Filipino, with a relatively slow progress in other fields. In general, the main research direction of NLP for non-native Filipino is for the construction of a parallel corpus based on cross language processing technology, the promotion of the research of deep learning applied to NLP, and the exploration of the applicability of rules, graph models, structures and other methods to the automatic abstracts of Philippine texts.