LTW2V is The large Thai Word2Vec. It trained from OSCAR Corpus (Open Super-large Crawled Aggregated coRpus). For Version 1.0, It trained from OSCAR Corpus (Open Super-large Crawled Aggregated coRpus) and use newmm in PyThaiNLP 4.0 for word segmentation. We cleand the dataset before training that customize the pre-processing script from thai2fit and trained 5 window, 15 windows. It trained with Gensim (50 epochs), so you can use the model from Gensim. About Word2Vec vector dimension = 400 window size = 5, 15 word minimum count = 5 Source code at GitHub: https://github.com/PyThaiNLP/large-thaiword2vec File LTW2V_v1.0-window5.bin - 5 window with newmm in PyThaiNLP 4.0 for word segmentation and Gensim 4.0. LTW2V_v1.0-window15.bin - 15 window with newmm in PyThaiNLP 4.0 for word segmentation and Gensim 4.0.