{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load in \n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\nimport keras.backend as K\nfrom keras.layers import Input, Dense, Activation, Reshape\nfrom keras.layers.recurrent import LSTM\nfrom keras.models import Model\nfrom keras.optimizers import Adam\nimport re\n\nimport matplotlib.pyplot as plt\n# Input data files are available in the \"../input/\" directory.\n# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n\nimport os\nPATH= '../input'\nprint(os.listdir(f\"{PATH}\"))\n\n# Any results you write to the current directory are saved as output.","execution_count":null,"outputs":[]},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"markdown","source":"### Read sentence pairs"},{"metadata":{"trusted":true,"_uuid":"32c7dd38d1093ebff856982a24250ed077e2989e"},"cell_type":"code","source":"#df_raw = pd.read_csv(f'{PATH}/ara.txt', delimiter='\\t', error_bad_lines=False, header=None, names=['en', 'ar'])\ndf_raw = pd.read_csv(f'{PATH}/fra.txt', delimiter='\\t', error_bad_lines=False, header=None, names=['en', 'fr'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"cc2551995a00748495370a2e87f7faa6d014781f"},"cell_type":"code","source":"df_raw.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"24025f1b350d80aa86636ac3243ebd5f67875a84"},"cell_type":"code","source":"lang1 = 'en'\nlang2 = 'fr' # 'ar'\n#english_max_sentence_length = 250\n#arabic_max_sentence_length = 260\ndf_raw.count()[0], df_raw[lang1].str.len().max(), df_raw[lang2].str.len().max()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"aa70cc46eb9d90343dbf186c8718810b5cfe526f"},"cell_type":"markdown","source":"### Pre-process text data "},{"metadata":{"trusted":true,"_uuid":"b3803e5e3388b0f92a97f16b8ad6d9898214cb0a"},"cell_type":"code","source":"# english characters \nenglish_chars = [char for char in 'abcdefghijklmnopqrstuvwxyz1234567890']\nenglish_chars_num = len(english_chars)\nenglish_char_stop = np.zeros((english_chars_num))\nenglish_cleanup_regex = '[?!\\.,/]'\n\n# arabic characters \narabic_chars = [char for char in '1234567890ابتثجحخدذرزسشصضطظعغفقكلمنهويءآٱأإةؤئى']\narabic_chars_num = len(arabic_chars)\narabic_char_stop = np.zeros((arabic_chars_num))\narabic_cleanup_regex = '[ـ،؛؟٫٬٠]'\n\n# french characters \nfrench_chars = [char for char in 'abcdefghijklmnopqrstuvwxyz1234567890']\nfrench_chars_num = len(english_chars)\nfrench_char_stop = np.zeros((english_chars_num))\nfrench_cleanup_regex = '[?!\\.,/]'\n\n# parameters for the source and destination languages\nparams = {\n    'en': {\n        'chars': english_chars,\n        'chars_num': english_chars_num,\n        'char_stop': english_char_stop,\n        'cleanup_regex': english_cleanup_regex, \n        'max_sentence_length': 70\n    },\n    'fr': {\n        'chars': french_chars,\n        'chars_num': french_chars_num,\n        'char_stop': french_char_stop,\n        'cleanup_regex': french_cleanup_regex, \n        'max_sentence_length': 70\n    }\n}\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"4aaaf7e5f368b9fb15a53a35f07f98e4b211ecd3"},"cell_type":"code","source":"# transform a sentence into an matrix of dimension (max_sentence_en, num_english_characters)\ndef one_hot_encoding(encodings, sentence, lang):\n    \"\"\"one hot encoding using the given characters and encoding length\n    \"\"\"\n    if lang not in params.keys():\n        print('unknown language', lang)\n        return\n    p = params[lang]\n    chars, length, max_len, stop_char = p['chars'], p['chars_num'], p['max_sentence_length'], p['char_stop']\n    for index in range(len(sentence)):\n        char = sentence[index]\n        # consider only characters in dictionnary\n        if char in chars:\n            idx = chars.index(char)\n            onehot = np.zeros((length))\n            onehot[idx] = 1\n            encodings[index] = onehot\n    # append padding to the end of the encoded sentence\n    padding = max_len - len(sentence)\n    for i in range(padding):\n        encodings[len(sentence) + i] = stop_char\n\n# shift the given encoding array to the right\ndef shift_right(encodings, lang):\n    # check if the language is known or not\n    if lang not in params.keys():\n        print('unknown language', lang)\n        return\n    target, stop = [], []\n    p = params[lang]\n    target = np.zeros((num_pairs, p['max_sentence_length'], p['chars_num']))\n    stop = p['char_stop']    \n    # shift\n    rows, sentences, chars = encodings.shape\n    for r in range(rows):\n        for s in range(sentences-1):\n            target[r][s] = encodings[r][s+1]\n        target[r][sentences-1] = stop\n    return target\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"7c68c3db5447e604b815980e0dcae670a76837f7"},"cell_type":"code","source":"# for each language\nlanguages = params.keys()\nfor lang in languages:\n    # lowercase everything\n    df_raw[lang] = df_raw[lang].str.lower()\n    # trim sentences\n    df_raw[lang] = df_raw[lang].str.strip()\n    # remove stop words\n    df_raw[lang] = df_raw[lang].map(lambda x: re.sub(params[lang]['cleanup_regex'], '', x))\n    # filter-out long sentences\n    df_raw = df_raw[(df_raw[lang].str.len()<=params[lang]['max_sentence_length'])]\n\nnum_pairs = df_raw.count()[0]\ndf_raw.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"e9c02f3331342a26296ba6a5df3aa5fe8bf278cc"},"cell_type":"code","source":"# analyze sentences length\ndef plot_sentence_dist(df_raw, lang):\n    df_agg = pd.DataFrame(df_raw[lang].map(lambda x: len(x)))\n    df_agg[lang+'_count'] = 1\n    return df_agg.groupby(lang).agg('count')\n\ndf_agg1 = plot_sentence_dist(df_raw, lang1)\ndf_agg2 = plot_sentence_dist(df_raw, lang2)\n\ndf_agg1[lang1+'_count'].describe(), df_agg2[lang2+'_count'].describe()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"38743aa875d8154abf7976281b96f076c4d13768"},"cell_type":"code","source":"# plot source langauge length distribution\nplt.subplot(1, 2, 1)\nplt.plot(df_agg1)\nplt.title('Sentences length')\nplt.ylabel('count')\nplt.xlabel(lang1)\n\n# plot destination langauge length distribution\nplt.subplot(1, 2, 2)\nplt.plot(df_agg2)\nplt.title('Sentences length')\nplt.xlabel(lang2)\n\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"0822a44873c0578ad659b003c8c97be5c6a5c73c"},"cell_type":"code","source":"#df_agg1[lang1+'_count']\nplt.figure(figsize=(15,5))\nplt.plot(df_agg1[lang1+'_count'].keys(), df_agg1[lang1+'_count'].values, marker='o', label=lang1)\nplt.plot(df_agg2[lang2+'_count'].keys(), df_agg2[lang2+'_count'].values, marker='o', label=lang2)\nplt.legend()\nplt.xlabel('Length of sentence')\nplt.ylabel('Count of occurrences')\nplt.tight_layout()\nplt.show()","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"19e8f4bd9c8a9429543fd55eeb46cca465d7aa44"},"cell_type":"markdown","source":"### Seq2Seq input"},{"metadata":{"trusted":true,"_uuid":"807abd72ce9e2410bf8bc3c920cbf5bb423a0adf"},"cell_type":"code","source":"encodings = {\n    'fr': np.zeros((num_pairs, params['fr']['max_sentence_length'], params['fr']['chars_num'])),\n    'en': np.zeros((num_pairs, params['en']['max_sentence_length'], params['en']['chars_num']))\n}\n# one hot encode sentence characters\nindex = 0\nfor row_idx, row in df_raw.iterrows():\n    for lang in encodings.keys():\n        one_hot_encoding(encodings[lang][index], row[lang], lang)\n    index += 1\nprint(encodings['en'].shape, encodings['fr'].shape)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"930bf2dcb1dd260afc1edbbb676857023f38675f"},"cell_type":"code","source":"# A 3D array of shape (num_pairs, max_sentence_en, num_english_characters) containing a one-hot vectorization of the English sentences.\nencoder_input_data = encodings['en']\n\n# A 3D array of shape (num_pairs, max_sentence_ar, num_arabic_characters) containg a one-hot vectorization of the Arabic sentences.\ndecoder_input_data = encodings['fr']\n\n# Same as decoder_input_data but offset by one timestep. decoder_target_data[:, t, :] will be the same as decoder_input_data[:, t + 1, :].\ndecoder_target_data = shift_right(encodings['fr'], 'fr')\n\ndecoder_input_data.shape, decoder_input_data.shape, decoder_target_data.shape","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"a093136e70e1f022d5a17ff2a1dc6970a0d2371d"},"cell_type":"markdown","source":"### check decoder target is a right shift of input"},{"metadata":{"trusted":true,"_uuid":"0bc24070f2a091a409847731348020e9c5793cd8"},"cell_type":"code","source":"decoder_input_data.shape, decoder_input_data[0][1]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"423fbecf6338cc5ccde91d7a0cb26bc3081146b0"},"cell_type":"code","source":"decoder_target_data.shape, decoder_target_data[0][0]","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"52269dbb990ed575ff5d58e8e45ff5ad8bf5d379"},"cell_type":"markdown","source":"![e4cdf91c-063f-11e6-8844-c89a9e134339.png](attachment:e4cdf91c-063f-11e6-8844-c89a9e134339.png)","attachments":{"e4cdf91c-063f-11e6-8844-c89a9e134339.png":{"image/png":"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"}}},{"metadata":{"_uuid":"7c21c2958635bb48f7c65d0cb592e2832e983fa6"},"cell_type":"markdown","source":"## LSTM-based Architecture"},{"metadata":{"_uuid":"ed28072e597f6c2457829564eedbe40814b57b8f"},"cell_type":"markdown","source":"### Training phase"},{"metadata":{"trusted":true,"_uuid":"b74ffb3efa07480ca5718dada2a3974ec6dc4b8e"},"cell_type":"code","source":"# language model\nmax_token_lang1 = params['en']['chars_num']\nmax_sentence_length_lang1 = params['en']['max_sentence_length']\nmax_token_lang2 = params['fr']['chars_num']\nmax_sentence_length_lang2 = params['fr']['max_sentence_length']\n\n\nbatch_size = 64  # Batch size for training.\nepochs = 10  # Number of epochs to train for.\nlatent_dim = 256  # Latent dimensionality of the encoding space.\n\n# initializer the shape of the input for the Encoder/Decoder\nencoder_input = Input(shape=(None, max_token_lang1))\ndecoder_input = Input(shape=(None, max_token_lang2))\n\n# Encoding-Decoding LSTM\nencoder = LSTM(latent_dim, return_state=True)\ndecoder = LSTM(latent_dim, return_state=True, return_sequences=True)\n\n# run english input sentence througth the encoder\nencoder_input_reshaped = Reshape((max_sentence_length_lang1, max_token_lang1))(encoder_input)\n_, h, c = encoder(encoder_input_reshaped)\n# pass the hidden/context states from encoder to the decoder, along with the target Arabic sentence\nencoder_input_reshaped = Reshape((max_sentence_length_lang2, max_token_lang2))(decoder_input)\nout, _, _ = decoder(encoder_input_reshaped, initial_state=[h, c])\n# generate the final output\nout = Dense(max_token_lang2)(out)\ndecoder_outtput = Activation('softmax')(out)\n# create the Keras model\nmodel = Model(inputs=[encoder_input, decoder_input], outputs=[decoder_outtput])\n\nadam = Adam() #Adam(lr=0.1, decay=0.0005)\nmodel.compile(optimizer=adam, loss='categorical_crossentropy', metrics=['accuracy'])","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"4eacf0f0b2abf9ceca1077b68ee4c9dee515af2f"},"cell_type":"code","source":"model.summary()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"d30b4a4f1469e505ebe2d53c8b0ddb475c700107"},"cell_type":"code","source":"samples = decoder_input_data.shape[0]","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"ecc5d02c5666b0c03501f3d687f470e5a5f14725"},"cell_type":"code","source":"model.fit(\n    x=[encoder_input_data[:samples], decoder_input_data[:samples]],\n    y=[decoder_target_data[:samples]],\n    batch_size=batch_size,\n    shuffle = True,\n    epochs=epochs,\n    validation_split=0.1\n)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"50eafce533f95963ac8b5c4cb8aca3eb06c6077f"},"cell_type":"markdown","source":"### Helper methods for storing models"},{"metadata":{"trusted":true,"_uuid":"70a899851d51e8c9f24b2cc9486891a36b6428dd"},"cell_type":"code","source":"def store(model):\n    \"\"\"Store to disk a model along with its weights\n    # Arguments:\n        model: the Keras model to be stored\n    \"\"\"\n    # serialize model to JSON\n    model_json = model.to_json()\n    with open(\"model.json\", \"w\") as json_file:\n        json_file.write(model_json)\n    # serialize weights to HDF5\n    model.save_weights(\"model.h5\")\n    print(\"Saved model to disk\")\n\ndef restore():\n    \"\"\"Restore from disk a model along with its weights\n    # Returns:\n        model: the Keras model which was restored\n    \"\"\"\n    # load json and create model\n    json_file = open('model.json', 'r')\n    loaded_model_json = json_file.read()\n    json_file.close()\n    loaded_model = model_from_json(loaded_model_json)\n    # load weights into new model\n    loaded_model.load_weights(\"model.h5\")\n    print(\"Loaded model from disk\")\n    return loaded_model","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"51e8bf5c858278ea743c400529faff2b650a843b"},"cell_type":"code","source":"store(model)","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"54415aecc4cbaab84821953af7cd999d179a14e5"},"cell_type":"markdown","source":"### Inference phase"},{"metadata":{"trusted":true,"_uuid":"b5d71741be352a6ee6c134936bcb838dcc1876f8"},"cell_type":"code","source":"# evaluate loaded model on test data\n#loaded_model.compile(loss='binary_crossentropy', optimizer='rmsprop', metrics=['accuracy'])\n#score = loaded_model.evaluate(X, Y, verbose=0)\n#print(\"%s: %.2f%%\" % (loaded_model.metrics_names[1], score[1]*100))","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"f691cee854d8447d17bf9947ccf1599ef91ff1f3"},"cell_type":"code","source":"df_agg1[lang1+'_count'].keys()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true,"_uuid":"0f8832cc7b1b9549a7756b2b0afe23bc933ce1b2"},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}