ai-forever / FRED-T5-large-spell

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Model's Last Updated: Agosto 02 2024
text2text-generation

Introduction of FRED-T5-large-spell

Model Details of FRED-T5-large-spell

FRED-T5-large-spell model

Summary

The model corrects spelling errors and typos by bringing all the words in the text to the norm of the Russian language. The proofreader was trained based on the FredT5-large model. An extensive dataset with “artificial” errors was taken as a training corpus: the corpus was assembled on the basis of the Russian-language Wikipedia and transcripts of Russian-language videos, then typos and spelling errors were automatically introduced into it using the functionality of the SAGE library .

Public references
Examples

*Examples are given with default generation parameters

Input Output
Думю ешцъа лет череа 10 ретроспективно просматривотьэ то будкетцц мне невероя тна ин те р но Думаю еще лет через 10 ретроспективно просматривать это будет мне невероятно интересно. Думаю это лет через 10 ретроспективно просматривать это будет мне невероятно интересно.
Основая цель мероприятия - практическая отработка навыков по оказанию помощи гражданам, попавшим в ДТП, а также повышение и совершенствование уровня профессиональной подготовки сотрудников МЧС при проведении аварийно-спасательных работ по ликвидации последствий дорожно-транспортных проишествий, сокращение временных показателей реагирования. Основная цель мероприятия - практическая отработка навыков по оказанию помощи гражданам, попавшим в ДТП, а также повышение и совершенствование уровня профессиональной подготовки сотрудников МЧС при проведении аварийно-спасательных работ по ликвидации последствий дорожно-транспортных происшествий, сокращение временных показателей реагирования. Основная цель мероприятия
прийдя в МГТУ я был удивлен никого необноружив там… прийдя в МГТУ я был удивлен никого не обнаружив там.. «при
Metrics
Quality

Below are automatic metrics for determining the correctness of the spell checkers. We compare our solution with both open automatic spell checkers and the ChatGPT family of models on all four available datasets:

  • RUSpellRU : texts collected from ( LiveJournal ), with manually corrected typos and errors;
  • MultidomainGold : examples from 7 text sources, including the open web, news, social media, reviews, subtitles, policy documents and literary works;
  • MedSpellChecker : texts with errors from medical anamnesis;
  • GitHubTypoCorpusRu : spelling errors and typos in commits from GitHub ;

RUSpellRU

Model Precision Recall F1
FredT5-large-spell 58.5 42.4 49.2
ChatGPT gpt-3.5-turbo-0301 55.8 75.3 64.1
ChatGPT gpt-4-0314 57.0 75.9 63.9
ChatGPT text-davinci-003 55.9 75.3 64.2
Yandex.Speller 83.0 59.8 69.5
JamSpell 42.1 32.8 36.9
HunSpell 31.3 34.9 33.0

MultidomainGold

Model Precision Recall F1
FredT5-large-spell 42.5 42.0 42.2
ChatGPT gpt-3.5-turbo-0301 33.8 72.1 46.0
ChatGPT gpt-4-0314 34.0 73.2 46.4
ChatGPT text-davinci-003 33.6 72.0 45.8
Yandex.Speller 52.9 51.4 52.2
JamSpell 25.7 30.6 28.0
HunSpell 16.2 40.1 23.0

MedSpellChecker

Model Precision Recall F1
FredT5-large-spell 37.2 51.7 43.3
ChatGPT gpt-3.5-turbo-0301 53.2 67.6 59.6
ChatGPT gpt-4-0314 54.2 69.4 60.9
ChatGPT text-davinci-003 47.8 68.4 56.3
Yandex.Speller 80.6 47.8 60.0
JamSpell 24.6 29.7 26.9
HunSpell 10.3 40.2 16.4

GitHubTypoCorpusRu

Model Precision Recall F1
FredT5-large-spell 52.7 41.7 46.6
ChatGPT gpt-3.5-turbo-0301 43.8 57.0 49.6
ChatGPT gpt-4-0314 45.2 58.2 51.0
ChatGPT text-davinci-003 46.5 58.1 51.7
Yandex.Speller 67.7 37.5 48.3
JamSpell 49.5 29.9 37.3
HunSpell 28.5 30.7 29.6
How to use
from transformers import T5ForConditionalGeneration, AutoTokenizer

path_to_model = "ai-forever/FRED-T5-large-spell"

model = T5ForConditionalGeneration.from_pretrained(path_to_model)
tokenizer = AutoTokenizer.from_pretrained(path_to_model, eos_token="</s>")
prefix = "Исправь: "

sentence = "прийдя в МГТУ я был удивлен никого необноружив там…"
sentence = prefix + sentence

encodings = tokenizer(sentence, return_tensors="pt")
generated_tokens = model.generate(
                **encodings, eos_token_id=tokenizer.eos_token_id, early_stopping=True)
answer = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
print(answer)

# ["прийдя в МГТУ я был удивлен никого не обнаружив там.. «при"]
Resources
License

Model FRED-T5-large , on the basis of which our solution is made, and its source code are supplied under the APACHE-2.0 license. Our solution also comes with MIT license.

Specifications
  • File size: 3.5 Gb;
  • Framework: pytorch
  • Format: AI Service
  • Version: v1.0
  • Developer: SberDevices, AGI NLP
Contacts

nikita.martynov.98@list.ru

Runs of ai-forever FRED-T5-large-spell on huggingface.co

3.7K
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More Information About FRED-T5-large-spell huggingface.co Model

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FRED-T5-large-spell huggingface.co

FRED-T5-large-spell huggingface.co is an AI model on huggingface.co that provides FRED-T5-large-spell's model effect (), which can be used instantly with this ai-forever FRED-T5-large-spell model. huggingface.co supports a free trial of the FRED-T5-large-spell model, and also provides paid use of the FRED-T5-large-spell. Support call FRED-T5-large-spell model through api, including Node.js, Python, http.

FRED-T5-large-spell huggingface.co Url

https://huggingface.co/ai-forever/FRED-T5-large-spell

ai-forever FRED-T5-large-spell online free

FRED-T5-large-spell huggingface.co is an online trial and call api platform, which integrates FRED-T5-large-spell's modeling effects, including api services, and provides a free online trial of FRED-T5-large-spell, you can try FRED-T5-large-spell online for free by clicking the link below.

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FRED-T5-large-spell install

FRED-T5-large-spell is an open source model from GitHub that offers a free installation service, and any user can find FRED-T5-large-spell on GitHub to install. At the same time, huggingface.co provides the effect of FRED-T5-large-spell install, users can directly use FRED-T5-large-spell installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of FRED-T5-large-spell

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Provider of FRED-T5-large-spell huggingface.co

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