indonlu VS kumpulan-kata-bahasa-indonesia-KBBI

Compare indonlu vs kumpulan-kata-bahasa-indonesia-KBBI and see what are their differences.

indonlu

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020) (by IndoNLP)

kumpulan-kata-bahasa-indonesia-KBBI

Database kamus kumpulan kata dalam bahasa Indonesia sesuai KBBI (Indonesian word list database based on KBBI) (by damzaky)
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indonlu kumpulan-kata-bahasa-indonesia-KBBI
1 1
490 61
0.0% -
10.0 5.9
over 1 year ago 5 months ago
Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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indonlu

Posts with mentions or reviews of indonlu. We have used some of these posts to build our list of alternatives and similar projects.

kumpulan-kata-bahasa-indonesia-KBBI

Posts with mentions or reviews of kumpulan-kata-bahasa-indonesia-KBBI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing indonlu and kumpulan-kata-bahasa-indonesia-KBBI you can also consider the following projects:

FinBERT - A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097

unmix - Undo the so-called mix lingo, a code-mixing style (Bahasa Jaksel)

SKAB - SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

kbbi4 - Official kbbi5 for Android

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

openfema-samples - Code, dataset, and analysis samples that utilize the OpenFEMA API.