StanfordNLP
summary
StanfordNLP is a native Python library built on PyTorch that replaces rule‑based tokenizers with a lightweight character LSTM tokenizer and an end‑to‑end neural pipeline: seq2seq multiword token expansion and lemmatization, BiLSTM‑biaffine dependency parser, and POS/morphology tagger. Pretrained models cover over 50 languages and the system matches top UD benchmarks on 57 languages and achieves state‑of‑the‑art on biomedical corpora; models download and run in a few Python lines.
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chapters (5)
- 0:00Start
- 1:25Background
- 3:21Neural Components
- 4:22Tokenizer & Sentence Segmenter • Joint word and sentence segmentation as character sequence tagging
- 6:34Dependency Parser
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