diff --git a/source/notebooks/nlpo3ipynb.ipynb b/source/notebooks/nlpo3ipynb.ipynb
index ebb6ec3..02f506f 100644
--- a/source/notebooks/nlpo3ipynb.ipynb
+++ b/source/notebooks/nlpo3ipynb.ipynb
@@ -1,248 +1,255 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "1dUnwVxgISWq"
+   },
+   "source": [
+    "# nlpO3\n",
+    "\n",
+    "nlpO3 is a Rust natural language processing library for Thai with Python and Node bindings. Similarly to newmm, it comes with a maximal-matching dictionary-based tokenizer, which honors Thai character cluster boundaries. However, compared to newmm, which is a pure Python implementation, nlpO3 is much faster. For a comparison, refer to [Benchmark nlpo3.segment](https://github.com/PyThaiNLP/nlpo3/blob/main/nlpo3-python/notebooks/nlpo3_segment_benchmarks.ipynb). Lern more about nlpO3 [here](https://github.com/PyThaiNLP/nlpo3).\n",
+    "\n",
+    "In this tutorial, you will learn how to use nlpO3 to tokenize a text with a pre-prepared list of words serving as a custom dictionary."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "NBfhmYbiIboQ"
+   },
+   "source": [
+    "### Installation\n",
+    "\n",
+    "We install the Python binding using pip."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
     "colab": {
-      "name": "nlpo3.ipynb",
-      "provenance": [],
-      "collapsed_sections": []
-    },
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3"
+     "base_uri": "https://localhost:8080/"
     },
-    "language_info": {
-      "name": "python"
+    "id": "97rhSDE8IG8X",
+    "outputId": "04523717-c31a-4f41-cd40-9e3e7e7c7628"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Collecting nlpo3\n",
+      "Successfully installed nlpo3-1.1.2\n"
+     ]
     }
+   ],
+   "source": [
+    "!pip install nlpo3"
+   ]
   },
-  "cells": [
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "1dUnwVxgISWq"
-      },
-      "source": [
-        "# nlpO3\n",
-        "\n",
-        "Thai Natural Language Processing in Rust, with Python-binding.\n",
-        "\n",
-        "## Features\n",
-        "- newmm dictionary-based word tokenization, at ultra fast speed\n",
-        "- support custom dictionary\n",
-        "\n",
-        "GitHub: https://github.com/PyThaiNLP/nlpo3"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "NBfhmYbiIboQ"
-      },
-      "source": [
-        "## Install"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "97rhSDE8IG8X",
-        "outputId": "04523717-c31a-4f41-cd40-9e3e7e7c7628"
-      },
-      "source": [
-        "!pip install nlpo3"
-      ],
-      "execution_count": 1,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "Collecting nlpo3\n",
-            "Successfully installed nlpo3-1.1.2\n"
-          ],
-          "name": "stdout"
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "qgAabbuvIdS8"
-      },
-      "source": [
-        "## Using"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "zp1hmAJ6I0a2"
-      },
-      "source": [
-        "### PyThaiNLP dictionary\n",
-        "\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "id": "4_v-LpBbIKN9"
-      },
-      "source": [
-        "from nlpo3 import segment"
-      ],
-      "execution_count": 2,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "ihpxBQvtIgqJ",
-        "outputId": "31a01e32-fac7-4f8c-d0ad-f197f035a850"
-      },
-      "source": [
-        "segment(\"ทดสอบตัดคำภาษาไทย\")"
-      ],
-      "execution_count": 3,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "['ทดสอบ', 'ตัด', 'คำ', 'ภาษาไทย']"
-            ]
-          },
-          "metadata": {
-            "tags": []
-          },
-          "execution_count": 3
-        }
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "b_O9xI5fI96A"
-      },
-      "source": [
-        "### custom dictionary\n",
-        "\n",
-        "We try to use a thai countries dictionary for segment text."
-      ]
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "zp1hmAJ6I0a2"
+   },
+   "source": [
+    "### PyThaiNLP dictionary\n",
+    "\n",
+    "First we try segmenting a Thai sentence into a list of words without specifying a dictionary parameter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "id": "4_v-LpBbIKN9"
+   },
+   "outputs": [],
+   "source": [
+    "from nlpo3 import segment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "ihpxBQvtIgqJ",
+    "outputId": "31a01e32-fac7-4f8c-d0ad-f197f035a850"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "rRMh4bXxJDRg",
-        "outputId": "21a142e7-7aa1-4a99-b341-31a1535a3928"
-      },
-      "source": [
-        "!wget https://github.com/PyThaiNLP/pythainlp/raw/dev/pythainlp/corpus/countries_th.txt"
-      ],
-      "execution_count": 4,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "--2021-06-22 05:14:58--  https://github.com/PyThaiNLP/pythainlp/raw/dev/pythainlp/corpus/countries_th.txt\n",
-            "Resolving github.com (github.com)... 140.82.112.4\n",
-            "Connecting to github.com (github.com)|140.82.112.4|:443... connected.\n",
-            "HTTP request sent, awaiting response... 302 Found\n",
-            "Location: https://raw.githubusercontent.com/PyThaiNLP/pythainlp/dev/pythainlp/corpus/countries_th.txt [following]\n",
-            "--2021-06-22 05:14:58--  https://raw.githubusercontent.com/PyThaiNLP/pythainlp/dev/pythainlp/corpus/countries_th.txt\n",
-            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
-            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
-            "HTTP request sent, awaiting response... 200 OK\n",
-            "Length: 7622 (7.4K) [text/plain]\n",
-            "Saving to: ‘countries_th.txt’\n",
-            "\n",
-            "countries_th.txt    100%[===================>]   7.44K  --.-KB/s    in 0s      \n",
-            "\n",
-            "2021-06-22 05:14:58 (70.3 MB/s) - ‘countries_th.txt’ saved [7622/7622]\n",
-            "\n"
-          ],
-          "name": "stdout"
-        }
+     "data": {
+      "text/plain": [
+       "['ทดสอบ', 'ตัด', 'คำ', 'ภาษาไทย']"
       ]
+     },
+     "execution_count": 3,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "segment(\"ทดสอบตัดคำภาษาไทย\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "b_O9xI5fI96A"
+   },
+   "source": [
+    "### Custom dictionary\n",
+    "\n",
+    "Now we enhance the tokenization with a pre-prepared list of countries in Thai, which will serve as a custom dictionary.\n",
+    "\n",
+    "We use the `wget` command to download the list from GitHub. It's a plain text file containing one word per line. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "rRMh4bXxJDRg",
+    "outputId": "21a142e7-7aa1-4a99-b341-31a1535a3928"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "id": "-DT_WnJeIk6q"
-      },
-      "source": [
-        "from nlpo3 import segment, load_dict"
-      ],
-      "execution_count": 5,
-      "outputs": []
-    },
-    {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "3Sv0hrNVJOFA",
-        "outputId": "97f6c5a2-3402-47f1-b568-b92b95654bc8"
-      },
-      "source": [
-        "load_dict(\"countries_th.txt\", \"countries\")"
-      ],
-      "execution_count": 9,
-      "outputs": [
-        {
-          "output_type": "stream",
-          "text": [
-            "Successful: dictionary name countries from file countries_th.txt has been successfully loaded\n"
-          ],
-          "name": "stdout"
-        }
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--2021-06-22 05:14:58--  https://github.com/PyThaiNLP/pythainlp/raw/dev/pythainlp/corpus/countries_th.txt\n",
+      "Resolving github.com (github.com)... 140.82.112.4\n",
+      "Connecting to github.com (github.com)|140.82.112.4|:443... connected.\n",
+      "HTTP request sent, awaiting response... 302 Found\n",
+      "Location: https://raw.githubusercontent.com/PyThaiNLP/pythainlp/dev/pythainlp/corpus/countries_th.txt [following]\n",
+      "--2021-06-22 05:14:58--  https://raw.githubusercontent.com/PyThaiNLP/pythainlp/dev/pythainlp/corpus/countries_th.txt\n",
+      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
+      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
+      "HTTP request sent, awaiting response... 200 OK\n",
+      "Length: 7622 (7.4K) [text/plain]\n",
+      "Saving to: ‘countries_th.txt’\n",
+      "\n",
+      "countries_th.txt    100%[===================>]   7.44K  --.-KB/s    in 0s      \n",
+      "\n",
+      "2021-06-22 05:14:58 (70.3 MB/s) - ‘countries_th.txt’ saved [7622/7622]\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!wget https://github.com/PyThaiNLP/pythainlp/raw/dev/pythainlp/corpus/countries_th.txt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We use the `load_dict` function to load the contents of the downloaded file into the `countries` dictionary."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "id": "-DT_WnJeIk6q"
+   },
+   "outputs": [],
+   "source": [
+    "from nlpo3 import segment, load_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "3Sv0hrNVJOFA",
+    "outputId": "97f6c5a2-3402-47f1-b568-b92b95654bc8"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "N_Ni-39BJR5Q",
-        "outputId": "03e69197-6871-4257-ae35-e1949733cc63"
-      },
-      "source": [
-        "segment(\"สวัสดีครับประเทศไทย เกาหลี\", \"countries\")"
-      ],
-      "execution_count": 11,
-      "outputs": [
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "['สวัสดีครับประเทศ', 'ไทย', ' ', 'เกาหลี']"
-            ]
-          },
-          "metadata": {
-            "tags": []
-          },
-          "execution_count": 11
-        }
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Successful: dictionary name countries from file countries_th.txt has been successfully loaded\n"
+     ]
+    }
+   ],
+   "source": [
+    "load_dict(\"countries_th.txt\", \"countries\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, we call the `segment` method on a Thai sentence specifying the `countries` dictionary in the parameters. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "N_Ni-39BJR5Q",
+    "outputId": "03e69197-6871-4257-ae35-e1949733cc63"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "8Ng4h-gkLsQK"
-      },
-      "source": [
-        "for speed of word segmentation benchmark, you can read more at https://github.com/PyThaiNLP/nlpo3/blob/main/nlpo3-python/notebooks/nlpo3_segment_benchmarks.ipynb"
+     "data": {
+      "text/plain": [
+       "['สวัสดีครับประเทศ', 'ไทย', ' ', 'เกาหลี']"
       ]
+     },
+     "execution_count": 7,
+     "metadata": {
+      "tags": []
+     },
+     "output_type": "execute_result"
     }
-  ]
+   ],
+   "source": [
+    "segment(\"สวัสดีครับประเทศไทย เกาหลี\", \"countries\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "colab": {
+   "collapsed_sections": [],
+   "name": "nlpo3.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
 }