We present PyThaiNLP, a free and open-source natural language processing (NLP) library
for Thai language implemented in Python. It provides a wide range of software, models, and …

Deep learning-based language models pretrained on large unannotated text corpora have
been demonstrated to allow efficient transfer learning for natural language processing, with …

We present UDify, a multilingual multi-task model capable of accurately predicting universal
part-of-speech, morphological features, lemmas, and dependency trees simultaneously for …

One of the first steps in the utterance interpretation pipeline of many task-oriented
conversational AI systems is to identify user intents and the corresponding slots. Since data …

Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …

We propose a practical scheme to train a single multilingual sequence labeling model that
yields state of the art results and is small and fast enough to run on a single CPU. Starting …

Syntactic and semantic parsing has been investigated for decades, which is one primary
topic in the natural language processing community. This article aims for a brief survey on …

We report results from the SR'19 Shared Task, the second edition of a multilingual surface
realisation task organised as part of the EMNLP'19 Workshop on Multilingual Surface …

Recent advances in multilingual dependency parsing have brought the idea of a truly
universal parser closer to reality. However, cross-language interference and restrained …

We present Latin BERT, a contextual language model for the Latin language, trained on
642.7 million words from a variety of sources spanning the Classical era to the 21st century …