Bump stanza from 1.10.1 to 1.11.0

[dependabot]

Bumps stanza from 1.10.1 to 1.11.0.

Release notes

Sourced from stanza's releases.

v1.11.0

Training upgrades

• Should now be possible to train all annotators on Windows: stanfordnlp/stanza-train#20 stanfordnlp/stanza#1439 The issue was twofold: a perl script shell call (which could actually be installed, but was annoying for non-perl users) and an overreliance on temp files, which can be opened twice in Unix but not in Windows. Fixed in stanfordnlp/stanza@2677e77 stanfordnlp/stanza@d5c7b7f stanfordnlp/stanza#1514

Model upgrades

• Tokenizer can support the pretrained charlm now. This significantly improves the MWT performance on Hebrew, for example. stanfordnlp/stanza#1511

• Building tokenizers with pretrained charlm exposed a possible issue with the tokenizer including spaces when tokenizing when an MWT is split across two words. The effect occurred in Hebrew, but an English example would be wo n't tokenized as a single token with embedded space. Augmenting the training to enforce word splits across those spaces fixed the issue. stanfordnlp/stanza#1511

• use PackedSequence for the tokenizer - is slower, but results are stable when using inputs of different lengths: stanfordnlp/stanza@4433e83 stanfordnlp/stanza#1472

• If a Tokenizer training set consistently has spaces between the ends of words and punctuations, the resulting trained model may not properly recognize the same text with periods at the end of the word. For example, this is a test . vs this is a test. Reported in stanfordnlp/stanza#1504 Fixed for VI by stanfordnlp/stanza@6878d8e

• Coref now includes a zeros predictor - this predicts when a mention for certain datasets (such as Spanish) is a pro-drop mention. This behavior occurs by adding an empty node to the sentence. It can be disabled with the coref_use_zeros=False flag to the Pipeline. stanfordnlp/stanza#1502

Model improvements

• Sindhi pipeline based on the ISRA UD dataset, published at SyntaxFest 2025, with annotation support from MLtwist: https://aclanthology.org/2025.udw-1.11/

• Tamil coreference model from KBC

• update English lemmatizer with more verbs and ADJ from Prof. Lapalme

• also, French lemmatizer changes with corrections from Prof. Lapalme

• create a German lemmatizer using GSD data and a set of ADJ from Wiktionary

• add GRC models mixed with a copy of the data with the diacritics stripped. because those work worse on GRC with diacritics, the originals are still the default: stanfordnlp/stanza@5beca58

• add a Thai TUD dataset from https://github.com/nlp-chula/TUD (not yet included in UD): stanfordnlp/stanza@bca078c

• NER model for ANG: stanfordnlp/stanza@68a56aa https://github.com/dmetola/Old_English-OEDT/tree/main

• NER models for Hindi, Telegu, and Urdu: stanfordnlp/stanza#1469, model built from https://github.com/ltrc/IL-NER, added in stanfordnlp/stanza@a4902df

Other interface improvements

• Fix conparser SyntaxWarning: stanfordnlp/stanza#1513 thanks to @​orenl

• improve efficiency of reading conllu documents: stanfordnlp/stanza@f15f0bc

• sort CoNLLU features when outputting a doc, as is standard: stanfordnlp/stanza@aa20fbb

• semgrex interface improvements: search all files, only output failed matches, process all documents at once

• turn coref max_train_len into a parameter: stanfordnlp/stanza@1f98d8f stanfordnlp/stanza#1465

• allow for combined depparse models with multiple training files in a zip file (easier to mix training data): stanfordnlp/stanza@be94ac6

... (truncated)

Commits

• 156f86b Include the demo files in the distribution
• be2f434 Add a version of the HE coref conversion script which mixes in udcoref, which...
• 767d463 A couple experiments on dataset mixing experiments that didn't have any posit...
• 101fdb5 Oops, need to update the loaded_args with the save_name, not the args
• 714072d Add a short explanation of how to download and process the ANG NER dataset po...
• 8c69363 Add a default package for HE coref
• c55d3d3 Add a lang=he field to all of the documents produced by the Hebrew coref conv...
• 4554b47 Update a comment explaining our poor scores on this dataset
• 8c92951 Possibly turn off zeros via a user flag
• 0aeea8b Add an init.py for the pipeline/demo directory. Might as well include th...
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