✨ New features and improvements NEW: Support multiprocessing in nlp.pipe via the n_process argument (Python 3 only). Base language support for Luxembourgish. Add noun chunks iterator for Swedish. Retrained models for Greek, Norwegian Bokmål and Lithuanian that now correctly support parser-based sentence segmentation. Repackaged models for Greek and German with improved lookup tables via spacy-lookups-data. Add warning in debug-data for low sentences per doc ratio. Improve checks and errors related to ill-formed IOB input in convert and debug-data CLI. Support training dict format as JSONL. Make EntityRuler ID resolution 2× faster and support "id" in patterns to set Token.ent_id. Improve rendering of named entity spans in displacy for RTL languages. Update Thinc to ditch thinc_gpu_ops for simpler GPU install. Support Mish activation in spacy pretrain. Add backwards-compatible support for new Language.disable_pipes API, which will become the default in the future. The method can now also take a list of component names as its first argument (instead of a variable number of arguments).- disabled = nlp.disable_pipes("tagger", "parser") + disabled = nlp.disable_pipes(["tagger", "parser"]) Add backwards-compatible support for new Matcher.add and PhraseMatcher.add API, which will become the default in the future. The patterns are now the second argument and a list (instead of a variable number of arguments). The on_match callback becomes an optional keyword argument.patterns = [[