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NLP-progress Alternatives
Similar projects and alternatives to NLP-progress
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nnsplit
Semantic text segmentation. For sentence boundary detection, compound splitting and more.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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awesome-hungarian-nlp
A curated list of NLP resources for Hungarian
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SymSpell
SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
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nlprule
A fast, low-resource Natural Language Processing and Text Correction library written in Rust.
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checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
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flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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tldr-transformers
The "tl;dr" on a few notable transformer papers.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better NLP-progress alternative or higher similarity.
NLP-progress reviews and mentions
Posts with mentions or reviews of NLP-progress.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-11.
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Upcoming App Announcement: Lemmatize, a Foreign Language Reader
A standard step in Chinese text processing is word segmentation, which deals with this problem.
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[P] NLP "tl;dr" Notes on Transformers
It would also be cool to have some charts with parameter density and even overall effectiveness (a tl;dr version of SOTA-trackers, maybe?) if that doesn't prove too infeasible.
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How do you guys find/ keep up to date with the latest NLP papers?
Another great resource for keeping tabs on the state of the art performance for common tasks is: NLP Progress
For someone who needs to be on top of the latest research - Twitter (distraction-prone, marketing-friendly, instantly-gratifying, quick), newsletters in ML + NLP (https://jack-clark.net/, ruder.io, offconvex.org, etc.) (distraction-free, generic, time-consuming), SOTA chasing (https://paperswithcode.com/, http://nlpprogress.com/) (distraction-free, generic + focused, code-friendly)
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How to do undergrad research the right way?
NLP is a very broad topic and like you said it can be extremely overwhelming to keep up with all the recent advancements, especially if you are a beginner. I would suggest you to take a look at nlp_tasks or NLP-progress or The Big Bad NLP Database to get an idea of the different tasks in NLP and see if you can find anything that looks interesting to you.
- Typo correction using NLP
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What are some classification tasks where BERT-based models don't work well? In a similar vein, what are some generative tasks where fine-tuning GPT-2/LM does not work well?
One place to start is nlp progress if leader boards are your thing, if the model on top of the leader board is not a transformer based model and one further down is, you have your answer.
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Stats
Basic NLP-progress repo stats
17
21,271
6.5
about 1 month ago
sebastianruder/NLP-progress is an open source project licensed under MIT License which is an OSI approved license.
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