Swedish conversation fillers

  • Vad heter det? / Vahettere
  • Hur/vad var det nu, då
  • Vad skulle jag säga nu, då
  • Du vet (y’know)
  • Typ/liksom (…like)
  • Så att (so that…)

jmccrae/irish_saffron

chartbeat-labs/textacy

Swagger editor

Using OntoLex-Lemon for Representing and Interlinking Lexicographic Collections of Bavarian Dialects

@inproceedings{abgaz-2020-using,
    title = "Using {O}nto{L}ex-Lemon for Representing and Interlinking Lexicographic Collections of {B}avarian Dialects",
    author = "Abgaz, Yalemisew",
    booktitle = "Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2020.ldl-1.9",
    pages = "61--69",
    language = "English",
    ISBN = "979-10-95546-36-8",
}

pdf, code (not open source)

ming024/FastSpeech2 — An implementation of Microsoft’s “FastSpeech 2: Fast and High-Quality End-to-End Text to Speech”

bigscience-workshop/promptsource

aimhubio/aim

from aim.hugging_face import AimCallback

# ...
aim_callback = AimCallback(repo='/path/to/logs/dir', experiment='mnli')
trainer = Trainer(
    model=model,
    args=training_args,
    train_dataset=train_dataset if training_args.do_train else None,
    eval_dataset=eval_dataset if training_args.do_eval else None,
    callbacks=[aim_callback],
    # ...
)

d99kris/spacy-cpp

r9y9/nnmnkwii

R2R