diff --git a/eander68.ipynb b/eander68.ipynb new file mode 100644 index 0000000..5472e69 --- /dev/null +++ b/eander68.ipynb @@ -0,0 +1,331 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# The Odyssey of Homer\n", + "### Comparing Translations\n", + "\n", + "Texts used:\n", + "- [Homer, The Odyssey, transl. Alexander Pope, 1725](https://www.gutenberg.org/files/3160/3160-0.txt)\n", + "- [Homer, The Odyssey, transl. Samuel Butler, 1900](https://www.gutenberg.org/cache/epub/1727/pg1727.txt)\n", + "- [Ὅμηρος, Οδύσσεια Τόμος Α, c. 750-700 BC](https://www.gutenberg.org/files/30613/30613-0.txt)\n", + "- [Ὅμηρος, Οδύσσεια Τόμος Β, c. 750-700 BC](https://www.gutenberg.org/files/30614/30614-0.txt)\n", + "- [Ὅμηρος, Οδύσσεια Τόμος Γ, c. 750-700 BC](https://www.gutenberg.org/files/30615/30615-0.txt)\n", + "- [Ὅμηρος, Οδύσσεια Τόμος Δ, c. 750-700 BC](https://www.gutenberg.org/files/30616/30616-0.txt)\n", + "\n", + "Reference used for Greek to English translation: [Perseus](https://www.perseus.tufts.edu/hopper/morph) LSJ" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', \"you're\", \"you've\", \"you'll\", \"you'd\", 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', \"she's\", 'her', 'hers', 'herself', 'it', \"it's\", 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', \"that'll\", 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', \"don't\", 'should', \"should've\", 'now', 'd', 'll', 'm', 'o', 're', 've', 'y', 'ain', 'aren', \"aren't\", 'couldn', \"couldn't\", 'didn', \"didn't\", 'doesn', \"doesn't\", 'hadn', \"hadn't\", 'hasn', \"hasn't\", 'haven', \"haven't\", 'isn', \"isn't\", 'ma', 'mightn', \"mightn't\", 'mustn', \"mustn't\", 'needn', \"needn't\", 'shan', \"shan't\", 'shouldn', \"shouldn't\", 'wasn', \"wasn't\", 'weren', \"weren't\", 'won', \"won't\", 'wouldn', \"wouldn't\", 'thy', 'thus', \"o'er\", 'shall', 'thou', 'yet', 'every', 'us', 'upon', 'may', 'whose', 'till', 'would', 'could', 'one', 'thee', 'ut', \"'re\", '.', ',', '--', \"'s\", '?', ')', '(', ':', \"'\", '\"', '-', '}', '{', '&', '|', '—']\n" + ] + } + ], + "source": [ + "import requests, re, nltk\n", + "from bs4 import BeautifulSoup\n", + "from nltk import clean_html\n", + "from collections import Counter\n", + "import operator\n", + "\n", + "# we may not care about the usage of stop words\n", + "en_stop_words = nltk.corpus.stopwords.words('english') + [\n", + " 'thy', 'thus', 'o\\'er', 'shall', 'thou', 'yet', 'every',\n", + " 'us', 'upon', 'may', 'whose', 'till', 'would', 'could', 'one', 'thee', 'ut', '\\'re','.', \n", + " ',', '--', '\\'s', '?', ')', '(', ':', '\\'', '\\\"', '-', '}', \n", + " '{', '&', '|', u'\\u2014' ]\n", + "\n", + "print (en_stop_words)\n", + "\n", + "# We most likely would like to remove html markup\n", + "def cleanHtml (html):\n", + " from bs4 import BeautifulSoup\n", + " soup = BeautifulSoup(html, 'html.parser')\n", + " return soup .get_text()\n", + "\n", + "# We also want to remove special characters, quotes, etc. from each word\n", + "def cleanWord (w):\n", + " # r in r'[.,\"\\']' tells to treat \\ as a regular character \n", + " # but we need to escape ' with \\'\n", + " # any character between the brackets [] is to be removed \n", + " wn = re.sub('[,\"\\.\\'&\\|:@>*;/=]', \"\", w)\n", + " # get rid of numbers\n", + " return re.sub('^[0-9\\.]*$', \"\", wn)\n", + " \n", + "# define a function to get text/clean/calculate frequency\n", + "def get_wf (URL):\n", + " # first get the web page\n", + " r = requests .get(URL)\n", + " r.encoding = 'utf-8'\n", + " \n", + " # Now clean\n", + " # remove html markup\n", + " t = cleanHtml (r .text) .lower()\n", + " \n", + " # split string into an array of words using any sequence of spaces \"\\s+\" \n", + " wds = re .split('\\s+',t)\n", + " \n", + " # remove periods, commas, etc stuck to the edges of words\n", + " for i in range(len(wds)):\n", + " wds [i] = cleanWord (wds [i])\n", + " \n", + " # If satisfied with results, lets go to the next step: calculate frequencies\n", + " # We can write a loop to create a dictionary, but \n", + " # there is a special function for everything in python\n", + " # in particular for counting frequencies (like function table() in R)\n", + " wf = Counter (wds)\n", + " \n", + " # Remove stop words from the dictionary wf\n", + " for k in en_stop_words:\n", + " wf. pop(k, None)\n", + " \n", + " #how many regular words in the document?\n", + " tw = 0\n", + " for w in wf:\n", + " tw += wf[w] \n", + " \n", + " \n", + " # Get ordered list\n", + " wfs = sorted (wf .items(), key = operator.itemgetter(1), reverse=True)\n", + " ml = min(len(wfs),15)\n", + "\n", + " #Reverse the list because barh plots items from the bottom\n", + " return (wfs [ 0:ml ] [::-1], tw)\n", + " \n", + "# Now populate two lists \n", + "(wf_pope, tw_pope) = get_wf('http://www.gutenberg.org/files/3160/3160-0.txt')\n", + "(wf_butler, tw_butler) = get_wf('http://www.gutenberg.org/cache/epub/1727/pg1727.txt')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot the results: are there striking differences in language?\n", + "import numpy as np\n", + "import pylab\n", + "import matplotlib.pyplot as plt\n", + "\n", + "%matplotlib inline\n", + "def plotTwoLists (wf_pope, wf_butler, title):\n", + " f = plt.figure (figsize=(20, 6))\n", + " # this is painfully tedious....\n", + " f .suptitle (title, fontsize=20)\n", + " ax = f.add_subplot(111)\n", + " ax .spines ['top'] .set_color ('none')\n", + " ax .spines ['bottom'] .set_color ('none')\n", + " ax .spines ['left'] .set_color ('none')\n", + " ax .spines ['right'] .set_color ('none')\n", + " ax .tick_params (labelcolor='w', top='off', bottom='off', left='off', right='off', labelsize=20)\n", + "\n", + " # Create two subplots, this is the first one\n", + " ax1 = f .add_subplot (121)\n", + " plt .subplots_adjust (wspace=.5)\n", + "\n", + " pos = np .arange (len(wf_pope)) \n", + " ax1 .tick_params (axis='both', which='major', labelsize=14)\n", + " pylab .yticks (pos, [ x [0] for x in wf_pope ])\n", + " ax1 .barh (range(len(wf_pope)), [ x [1] for x in wf_pope ], align='center')\n", + "\n", + " ax2 = f .add_subplot (122)\n", + " ax2 .tick_params (axis='both', which='major', labelsize=14)\n", + " pos = np .arange (len(wf_butler)) \n", + " pylab .yticks (pos, [ x [0] for x in wf_butler ])\n", + " ax2 .barh (range (len(wf_butler)), [ x [1] for x in wf_butler ], align='center')\n", + "\n", + "plotTwoLists (wf_pope, wf_butler, 'Difference between Pope and Butler translations')" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[('χέρια', 105), ('εμπρός', 108), ('δώμα', 110), ('πατρίδα', 112), ('τηλέμαχος', 113), ('καράβι', 134), ('μέσα', 139), ('ψυχή', 148), ('σιμά', 154), ('είχε', 168), ('οδυσσέας', 189), ('ευθύς', 191), ('οδυσσέα', 193), ('είπε', 199), ('σπίτι', 243)]\n" + ] + } + ], + "source": [ + "gk_stop_words = nltk.corpus.stopwords.words('greek') + ['ταις',\n", + " 'ότι', 'εγώ', 'αλλ', 'από', 'μ', 'τ', 'σου', 'ως', 'απ', 'της',\n", + " 'εις', 'μου', 'τους', 'ς', 'ότ', 'τώρα', 'μας', 'αλλά', 'προς', \n", + " 'αυτά', 'αυτός', 'αυτόν', 'είναι', 'τότ', 'συ', 'σ', 'ή', 'οπού',\n", + " 'αυτού', 'πε', 'ν', 'εκείνος', 'ας', 'εδώ', 'άμ', 'πώς', 'έχει',\n", + " 'εκείνοι', 'όλους', 'όλοι', 'όλα', 'όπως', 'αυτούς', 'αφού', 'ω', 'works', 'ut', '\\'re','.', ',',\n", + " '--', '\\'s', '?', ')', '(', ':', '\\'', '\\\"', '-', '}', '{', '&',\n", + " '|', u'\\u2014' ]\n", + "\n", + "def get_wf_gk ():\n", + " # first get the web page\n", + " full = ''\n", + " for i in range(4):\n", + " r = requests .get('https://www.gutenberg.org/files/3061' + str(3+i) + '/3061' + str(3+i) + '-0.txt')\n", + " full = full + r.text.encode('latin1').decode('utf-8')\n", + " \n", + " # Now clean\n", + " # remove html markup\n", + " t = cleanHtml (full) .lower()\n", + " \n", + " # split string into an array of words using any sequence of spaces \"\\s+\" \n", + " wds = re .split('\\s+',t)\n", + " \n", + " # remove periods, commas, etc stuck to the edges of words\n", + " for i in range(len(wds)):\n", + " wds [i] = cleanWord (wds [i])\n", + " \n", + " # If satisfied with results, lets go to the next step: calculate frequencies\n", + " # We can write a loop to create a dictionary, but \n", + " # there is a special function for everything in python\n", + " # in particular for counting frequencies (like function table() in R)\n", + " wf = Counter (wds)\n", + " \n", + " # Remove stop words from the dictionary wf\n", + " for k in gk_stop_words:\n", + " wf. pop(k, None)\n", + " \n", + " for k in en_stop_words:\n", + " wf .pop(k, None)\n", + " \n", + " # Remove empty string (???)\n", + " wf. pop('', None)\n", + " wf. pop('project', None)\n", + " wf. pop('gutenberg-tm', None)\n", + " wf. pop('work', None)\n", + " wf. pop('gutenberg', None)\n", + " wf. pop('electronic', None)\n", + " \n", + " #how many regular words in the document?\n", + " tw = 0\n", + " for w in wf:\n", + " tw += wf[w] \n", + " \n", + " \n", + " # Get ordered list\n", + " wfs = sorted (wf .items(), key = operator.itemgetter(1), reverse=True)\n", + " ml = min(len(wfs),15)\n", + "\n", + " #Reverse the list because barh plots items from the bottom\n", + " return (wfs [ 0:ml ] [::-1], tw)\n", + "\n", + "# now populate list\n", + "(wf_gk, tw_gk) = get_wf_gk()\n", + "print (wf_gk)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gk_list_transl = [('hands', 105), ('front', 108), ('house', 110), ('fatherland', 112), ('telemachus', 113), \n", + " ('ship', 134), ('inside', 139), ('soul', 148), ('snub-nosed', 154), ('possessed', 168), \n", + " ('odysseus', 189), ('straight', 191), ('odysseus', 193), ('said', 199), ('home', 243)]\n", + "\n", + "def plotList (wf_gk, title):\n", + " f = plt.figure (figsize=(10, 6))\n", + " # this is painfully tedious....\n", + " f .suptitle (title, fontsize=20)\n", + " ax = f.add_subplot(111)\n", + " ax .spines ['top'] .set_color ('none')\n", + " ax .spines ['bottom'] .set_color ('none')\n", + " ax .spines ['left'] .set_color ('none')\n", + " ax .spines ['right'] .set_color ('none')\n", + " ax .tick_params (labelcolor='w', top='off', bottom='off', left='off', right='off', labelsize=20)\n", + "\n", + " # Create subplot\n", + " ax1 = f .add_subplot (121)\n", + " plt .subplots_adjust (wspace=.5)\n", + "\n", + " pos = np .arange (len(wf_gk)) \n", + " ax1 .tick_params (axis='both', which='major', labelsize=14)\n", + " pylab .yticks (pos, [ x [0] for x in wf_gk ])\n", + " ax1 .barh (range(len(wf_gk)), [ x [1] for x in wf_gk ], align='center')\n", + "\n", + "plotTwoLists (wf_gk, gk_list_transl, 'Word frequency in original text')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Conclusion\n", + "Taking into account the two forms of the name Odysseus that appear in the Greek list, it occurs around 400 times, making it the most common word in each version of the text (both translations opt for the Latinized Ulysses). It occurs most frequently in the Butler translation, around 600 times, and least frequently in the Pope, slightly over 300. \n", + "\n", + "Words unique to the Pope translation's list (excluding those that appear in another list in a different case) are 'o'er', 'heaven', 'great', 'gods', 'day', 'care', 'train', 'eyes', 'queen', 'shore', and 'way'. Noteworthy is the unique absence of the name of Telemachus, Odysseus' son, from this list.\n", + "\n", + "Words unique to the Butler translation's list are 'went', 'come', 'go', 'tell', 'see', 'son', 'suitors', and 'made'.\n", + "\n", + "Words unique to the original text are 'ευθύς' ('straight'), 'είχε' ('possessed'), 'σιμά' ('snub-nosed'), 'μέσα' ('inside'), 'καράβι' ('ship'), 'πατρίδα' ('fatherland'), and 'εμπρός' ('front'). The high frequency of 'σιμά' ('snub-nosed') is somewhat puzzling. The [LSJ](https://www.perseus.tufts.edu/hopper/morph?l=%CF%83%CE%B9%CE%BC%CE%AC&la=greek#lexicon) notes this adjective as being used of 'the Ethiopians and their gods,... the Scythians,' children, dolphins, dogs, the hippopotamus, 'the ponies of the Sigynnae,' bees, and goats. Alternative definitions given are 'bent upwards', 'up-hill', 'hollow', 'concave', and 'rounded and tapering off towards the end'.\n", + "\n", + "The variation between the texts is quite high, perhaps due to stylistic differences (prose vs. verse), linguistic differences (English vs. Homeric Greek), and the drastically different time periods during which they were composed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "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": "3.8.10" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +}