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Make README shorter (#1251)
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README.md

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[![Python 3.9](https://img.shields.io/badge/python-3.9-blue.svg)](https://www.python.org/downloads/)
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[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3519354.svg)](https://doi.org/10.5281/zenodo.3519354)
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[![Project Status: Active](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
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[![Codacy Grade](https://app.codacy.com/project/badge/Grade/5821a0de122041c79999bbb280230ffb)](https://www.codacy.com/gh/PyThaiNLP/pythainlp/dashboard?utm_source=github.com&utm_medium=referral&utm_content=PyThaiNLP/pythainlp&utm_campaign=Badge_Grade)
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[![Coverage Status](https://coveralls.io/repos/github/PyThaiNLP/pythainlp/badge.svg?branch=dev)](https://coveralls.io/github/PyThaiNLP/pythainlp?branch=dev)
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[![Google Colab Badge](https://badgen.net/badge/Launch%20Quick%20Start%20Guide/on%20Google%20Colab/blue?icon=terminal)](https://colab.research.google.com/github/PyThaiNLP/tutorials/blob/master/source/notebooks/pythainlp_get_started.ipynb)
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[![Facebook](https://img.shields.io/badge/Facebook-%231877F2.svg)](https://www.facebook.com/pythainlp/)
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[![Chat on Matrix](https://matrix.to/img/matrix-badge.svg)](https://matrix.to/#/#thainlp:matrix.org)
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PyThaiNLP is a Python package for text processing and linguistic analysis,
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similar to [NLTK](https://www.nltk.org/) with a focus on Thai language.
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[pythainlp.org](https://pythainlp.org/) |
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[Tutorials](https://pythainlp.org/tutorials) |
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[License info](https://pythainlp.org/dev-docs/notes/license.html) |
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[Model cards](https://github.com/PyThaiNLP/pythainlp/wiki/Model-Cards) |
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[Adopters](https://github.com/PyThaiNLP/pythainlp/blob/dev/INTHEWILD.md) |
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*[เอกสารภาษาไทย](https://github.com/PyThaiNLP/pythainlp/blob/dev/README_TH.md)*
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PyThaiNLP เป็นไลบารีภาษาไพทอนสำหรับประมวลผลภาษาธรรมชาติ คล้ายกับ NLTK โดยเน้นภาษาไทย
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[ดูรายละเอียดภาษาไทยได้ที่ README_TH.MD](https://github.com/PyThaiNLP/pythainlp/blob/dev/README_TH.md)
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## Quick install
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Designed to be a Thai-focused counterpart to [NLTK](https://www.nltk.org/),
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**PyThaiNLP** provides standard tools for linguistic analysis under
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an Apache-2.0 source license, with its data and models covered by CC0-1.0
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and CC-BY-4.0.
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```sh
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pip install pythainlp
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```
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| Version | Description | Status |
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|:------:|:--:|:------:|
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| [5.2.0](https://github.com/PyThaiNLP/pythainlp/releases) | Stable | [Change Log](https://github.com/PyThaiNLP/pythainlp/issues/1080) |
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| [`dev`](https://github.com/PyThaiNLP/pythainlp/tree/dev) | Release Candidate for 5.3 | [Change Log](https://github.com/PyThaiNLP/pythainlp/issues/1169) |
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## Getting Started
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- PyThaiNLP requires Python 3.9+.
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- Python 2.7 users can use PyThaiNLP 1.6. See [2.0 change log](https://github.com/PyThaiNLP/pythainlp/issues/118) | [Upgrading from 1.7](https://pythainlp.org/docs/2.0/notes/pythainlp-1_7-2_0.html) | [Upgrading ThaiNER from 1.7](https://github.com/PyThaiNLP/pythainlp/wiki/Upgrade-ThaiNER-from-PyThaiNLP-1.7-to-PyThaiNLP-2.0)
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- [PyThaiNLP Get Started notebook](https://pythainlp.org/tutorials/notebooks/pythainlp_get_started.html) | [API document](https://pythainlp.org/docs) | [Tutorials](https://pythainlp.org/tutorials)
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- [Official website](https://pythainlp.org/) | [PyPI](https://pypi.org/project/pythainlp/) | [Facebook page](https://www.facebook.com/pythainlp/)
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- [Who uses PyThaiNLP?](https://github.com/PyThaiNLP/pythainlp/blob/dev/INTHEWILD.md)
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- [Model cards](https://github.com/PyThaiNLP/pythainlp/wiki/Model-Cards) - for technical details, caveats, and ethical considerations of the models developed and used in PyThaiNLP
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## Capabilities
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PyThaiNLP provides standard linguistic analysis for Thai language and standard Thai locale utility functions.
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Some of these functions are also available via the command-line interface (run `thainlp` in your shell).
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Partial list of features:
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| Version | Python version | Changes | Documentation |
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|:-------:|:--------------:|:-------:|:-------------:|
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| [5.2.0](https://github.com/PyThaiNLP/pythainlp/releases) | 3.7+ | [Log](https://github.com/PyThaiNLP/pythainlp/issues/1080) | [pythainlp.org/docs](https://pythainlp.org/docs) |
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| [`dev`](https://github.com/PyThaiNLP/pythainlp/tree/dev) | 3.9+ | [Log](https://github.com/PyThaiNLP/pythainlp/issues/1169) | [pythainlp.org/dev-docs](https://pythainlp.org/dev-docs/) |
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- Convenient character and word classes, like Thai consonants (`pythainlp.thai_consonants`), vowels (`pythainlp.thai_vowels`), digits (`pythainlp.thai_digits`), and stop words (`pythainlp.corpus.thai_stopwords`) -- comparable to constants like `string.letters`, `string.digits`, and `string.punctuation`
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- Linguistic unit segmentation at different levels: sentence (`sent_tokenize`), word (`word_tokenize`), and subword (`subword_tokenize`)
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- Part-of-speech tagging (`pos_tag`)
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- Spelling suggestion and correction (`spell` and `correct`)
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- Phonetic algorithm and transliteration (`soundex` and `transliterate`)
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- Collation (sorted by dictionary order) (`collate`)
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- Number read out (`num_to_thaiword` and `bahttext`)
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- Datetime formatting (`thai_strftime`)
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- Thai-English keyboard misswitched fix (`eng_to_thai`, `thai_to_eng`)
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## Features
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## Installation
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- **Linguistic units:** Sentence, word, and subword segmentation
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(`sent_tokenize`, `word_tokenize`, `subword_tokenize`).
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- **Tagging:** Part-of-speech tagging (`pos_tag`).
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- **Transliteration:** Romanization (`transliterate`) and IPA conversion.
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- **Correction:** Spelling suggestion and correction (`spell`, `correct`).
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- **Utilities:** Soundex, collation, number-to-text (`bahttext`), datetime
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formatting (`thai_strftime`), and keyboard layout correction.
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- **Data:** Built-in Thai character sets, word lists, and stop words.
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- **CLI:** Command-line interface via `thainlp`.
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```sh
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pip install --upgrade pythainlp
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```
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This will install the latest stable release of PyThaiNLP.
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Install different releases:
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```sh
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thainlp data catalog # List datasets
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thainlp help # Show usage
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```
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- Stable release: `pip install --upgrade pythainlp`
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- Pre-release (nearly ready): `pip install --upgrade --pre pythainlp`
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- Development (likely to break things): `pip install https://github.com/PyThaiNLP/pythainlp/archive/dev.zip`
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## Installation options
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### Installation Options
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Some functionalities, like Thai WordNet, may require extra packages.
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To install those requirements,
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specify a set of `[name]` immediately after `pythainlp`:
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To install with specific extras (e.g., `translate`, `wordnet`, `full`):
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```sh
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pip install "pythainlp[extra1,extra2,...]"
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look at the `[project.optional-dependencies]` section in
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[`pyproject.toml`](https://github.com/PyThaiNLP/pythainlp/blob/dev/pyproject.toml).
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## Data Directory
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- Some additional data, like word lists and language models,
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may be automatically downloaded during runtime.
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- PyThaiNLP caches these data under the directory `~/pythainlp-data`
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by default.
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- The data directory can be changed by specifying the environment variable
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`PYTHAINLP_DATA_DIR`.
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- See the data catalog (`db.json`) at
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<https://github.com/PyThaiNLP/pythainlp-corpus>
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## Data directory
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### Using PyThaiNLP in Distributed Environments
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PyThaiNLP downloads data (see the data catalog `db.json` at
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[pythainlp-corpus](https://github.com/PyThaiNLP/pythainlp-corpus))
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to `~/pythainlp-data` by default.
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Set the `PYTHAINLP_DATA_DIR` environment variable to override this location.
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When using PyThaiNLP in distributed computing environments
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(e.g., Apache Spark), set the `PYTHAINLP_DATA_DIR` environment variable
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inside the function that will be distributed to worker nodes:
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```python
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def tokenize_thai(text):
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import os
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os.environ['PYTHAINLP_DATA_DIR'] = './pythainlp-data'
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from pythainlp.tokenize import word_tokenize
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return word_tokenize(text)
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rdd.map(tokenize_thai)
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```
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This ensures each worker uses a local writable directory.
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See `examples/distributed_pyspark.py` for more examples.
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## Command-Line Interface
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Some of PyThaiNLP functionalities can be used via command line
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with the `thainlp` command.
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For example, to display a catalog of datasets:
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```sh
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thainlp data catalog
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```
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To show how to use:
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```sh
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thainlp help
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```
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inside the function that will be distributed to worker nodes.
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See details in
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[the documentation](https://pythainlp.org/dev-docs/notes/installation.html).
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## Testing and test suites
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We test core functionalities on all officially supported Python versions.
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Some functionality requiring extra dependencies may be tested less frequently
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due to potential version conflicts or incompatibilities between packages.
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Test cases are categorized into three groups: core, compact, and extra.
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You can find these tests in the [tests/](/tests/) directory.
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For more detailed information on testing, please refer to the tests README:
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[tests/README.md](./tests/README.md)
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## Contribute to PyThaiNLP
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- Please fork and create a pull request :)
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- For style guides and other information, including references to algorithms we use,
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please refer to our [contributing](https://github.com/PyThaiNLP/pythainlp/blob/dev/CONTRIBUTING.md) page.
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## Who uses PyThaiNLP?
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You can read [INTHEWILD.md](https://github.com/PyThaiNLP/pythainlp/blob/dev/INTHEWILD.md).
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Please fork and create a pull request.
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See [CONTRIBUTING.md](https://github.com/PyThaiNLP/pythainlp/blob/dev/CONTRIBUTING.md)
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for guidelines and algorithm references.
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## Citations
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docs/notes/start.rst

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Tutorial notebooks
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==================
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- `PyThaiNLP Get Started <https://pythainlp.org/tutorials/notebooks/pythainlp-get-started.html>`_
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- `PyThaiNLP Get Started <https://pythainlp.org/tutorials/notebooks/pythainlp_get_started.html>`_
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- `Other tutorials <https://pythainlp.org/tutorials/>`_

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