Hope this helps. NLTK holds a built-in list of around 179 English Stopwords. If you continue to use this site we will assume that you are happy with it.     stopwords = content.split(",") Première étage, transformons notre message en liste de mots, la liste qu’on va comparer avec la liste des stopwords. Improve this answer. Improve this answer. Below are the steps to do so. C'est donc mieux de compter le nombre d'occurrences du verbe être plutôt que de compter séparément chaque usage de conjugaison de ce même verbe. Stopwords in NLTK. - Édition Illustrée - Fanny, une jeune enfant pauvre et timide, est arrachée à ses parents pour être élevée à Mansfield Park, la riche demeure familiale dans laquelle résident son oncle, sa tante, ses cousins et ses cousines. I thank you all! It’s one of my favorite Python libraries. By default, NLTK (Natural Language Toolkit) includes a list of 40 stop words, including: “a”, “an”, “the”, “of”, “in”, etc. NLTK(Natural Language Toolkit) in python has a list of stopwords stored in 16 different languages. this is the union of these 2 arrays: Trouvé à l'intérieur – Page 211For example, the stop words list can be retrieved by running the command stops=nltk.corpus.stopwords.words(language). These stop words are available for ... Your welcome :). Il est donc logique de supprimer les mots les plus utilisés, ce qui signifie par extension qu'ils ne sont pas porteurs de sens. Aimez-vous l'encyclopédie wikipedia ?""" These stemmers are called Snowball, because … ['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"], no,not,nor should not be come in stop-words. Le NLP fut développé autour de la recherche linguistique et des sciences cognitives, la psychologie, la biologie et les mathématiques. So many angels here. from nltk.corpus import stopwords sw = stopwords.words("indonesia") Even list from Sastrawi package is plagued by this problem. from nltk.corpus import stopwords sw = stopwords.words("indonesia") Even list from Sastrawi package is plagued by this problem. Pourquoi ma fonction NLTK est-elle lente lors du traitement du DataFrame? Where these stops words belong to English, French, German or other normally they include prepositions, particles, interjections, unions, adverbs, pronouns, introductory words, numbers from 0 to 9 (unambiguous), other frequently used official, independent parts of speech, symbols, punctuation. Ce modèle tient compte des erreurs de transmission et désigne le codage comme la solution à la bonne réception du message. Précédé d'un texte de vulgarisation de W. Weaver. Electre 2018. You can use the below code to see the list of stopwords in NLTK: Il existe un autre processus qui exerce une fonction similaire qui s'appelle la racinisation(ou stemming en anglais). What are Stopwords in English? To add a word to NLTK stop words list, we first create a list from the “stopwords.word(‘english’)” object. This repository contains the set of stopwords I used with NLTK for the WbSrch search engine. #get French stopwords from the nltk kit: raw_stopword_list = stopwords. Removing Stop Words from Default NLTK Stop Word List. Can someone help me with a list of Indonesian stopwords. This list can be modified as per our needs. The following script adds a list of words to the NLTK stop word collection. stopwords=[i.replace('"',"").strip() for i in stopwords]. stopwords (list(str)) – A list of stopwords that are filtered out (defaults to NLTK’s stopwords corpus) smoothing_method (constant) – The method used for smoothing the score plot: DEFAULT_SMOOTHING (default) smoothing_width (int) – The width of the window used by the smoothing method. Let us create a powerful hub together to Make AI Simple for everyone. list(str) nltk.tokenize.mwe module ... stopwords (list(str)) – A list of stopwords that are filtered out (defaults to NLTK’s stopwords corpus) smoothing_method (constant) – The method used for smoothing the score plot: DEFAULT_SMOOTHING (default) smoothing_width (int) – The width of the window used by the smoothing method. Le téléchargement des vidéos de nos cours est accessible pour les membres Premium. Or at least a range of numbers. They are pre-defined and cannot be removed. Trouvé à l'intérieur – Page 485For example, natural language toolkit (NLTK) has lists of stopwords for 16 ... other stopword lists for various languages such as Chinese, English, French, ... Trouvé à l'intérieurThe stopwords corpus is an instance of nltk.corpus.reader. ... which in this case is 'english', referring to a file containing a list of Englishstopwords. A very common usage of stopwords.word() is in the text preprocessing phase or pipeline before actual NLP techniques like text classification. R package providing “one-stop shopping” (or should that be “one-shop stopping”?) Pourquoi ma fonction NLTK est-elle lente lors du traitement du DataFrame? qui ne sont pas pris en compte. Following is the diff. stopwords.words('english') Je me demande comment l'utiliser dans mon code pour supprimer simplement ces mots. most_common (10) [nltk_data] Downloading … — words ('english')] # Extracking tokens from lower_alpha_tokens if the tokens are not in the stopwords database print ('Number of tokens (remove stop words): {0} '. Trouvé à l'intérieurWe used TweetTokenizer from the Natural Language Toolkit (NLTK)1 for Python (Loper ... Stopword lists include these stopwords as well as discourse markers. for stopword lists in R, for multiple languages and sources. Nous avons maintenant le nombre de mots uniques non stopwords utilisés par les artistes. By default, NLTK (Natural Language Toolkit) includes a list of 40 stop words, including: “a”, “an”, “the”, “of”, “in”, etc. Add a … Trouvé à l'intérieurTour à tour invitée à Bath puis à l'abbaye de Northanger, la jeune Catherine Morland fait l'apprentissage d'un monde d'amour. Il existe dans la librairie NLTK une liste par défaut des stopwords dans plusieurs langues, notamment le français. These are great lists. NLTK Tutorial. Can someone help me with a list of Indonesian stopwords. NLTK has a list of stopwords stored in 16 different languages. @bruceredmon, I guess, depending on tokenizer and the input we can get No longer should text analysis or NLP packages bake in their own stopword lists or functions, since this package can accommodate them all, and is easily extended. finally: In this tutorial, we are going to learn what are stopwords in NLP and how to use them for cleaning text with the help of the NLTK stopwords library. Pas de diversité culturelle sans traduction. La domination du tout-à-l'anglais n'est pas inéluctable. Partout dans le monde, même en Grande-Bretagne, la mondialisation réclame une politique active de traduction. from nltk import wordpunct_tokenize message = 'ceci est un message en francais' speech = 'I have to say something to you' message_tokenize = wordpunct_tokenize(message) speech_tokenize = wordpunct_tokenize(speech) print message_tokenize print speech_tokenize On a ici utilisé des étapes de nettoyage classique de texte mais en réalité, il est parfois utile de conserver le texte brut quand on est pas dans une recherche du sens d'un document mais de phrases dans leur ensemble puisqu'on cherche le lien entre les différents mots. Dans notre cas, on va effectuer une racinisation parce qu'il n'existe pas de fonction de lemmatisation de corpus français dans NLTK Je suis d'accord que ce serait encore mieux. ["a", "about", "above", "after", "again", "against", "ain", "all", "am", "an", "and", "any", "are", "aren", "aren't", "as", "at", "be", "because", "been", "before", "being", "below", "between", "both", "but", "by", "can", "couldn", "couldn't", "d", "did", "didn", "didn't", "do", "does", "doesn", "doesn't", "doing", "don", "don't", "down", "during", "each", "few", "for", "from", "further", "had", "hadn", "hadn't", "has", "hasn", "hasn't", "have", "haven", "haven't", "having", "he", "her", "here", "hers", "herself", "him", "himself", "his", "how", "i", "if", "in", "into", "is", "isn", "isn't", "it", "it's", "its", "itself", "just", "ll", "m", "ma", "me", "mightn", "mightn't", "more", "most", "mustn", "mustn't", "my", "myself", "needn", "needn't", "no", "nor", "not", "now", "o", "of", "off", "on", "once", "only", "or", "other", "our", "ours", "ourselves", "out", "over", "own", "re", "s", "same", "shan", "shan't", "she", "she's", "should", "should've", "shouldn", "shouldn't", "so", "some", "such", "t", "than", "that", "that'll", "the", "their", "theirs", "them", "themselves", "then", "there", "these", "they", "this", "those", "through", "to", "too", "under", "until", "up", "ve", "very", "was", "wasn", "wasn't", "we", "were", "weren", "weren't", "what", "when", "where", "which", "while", "who", "whom", "why", "will", "with", "won", "won't", "wouldn", "wouldn't", "y", "you", "you'd", "you'll", "you're", "you've", "your", "yours", "yourself", "yourselves", "could", "he'd", "he'll", "he's", "here's", "how's", "i'd", "i'll", "i'm", "i've", "let's", "ought", "she'd", "she'll", "that's", "there's", "they'd", "they'll", "they're", "they've", "we'd", "we'll", "we're", "we've", "what's", "when's", "where's", "who's", "why's", "would", "able", "abst", "accordance", "according", "accordingly", "across", "act", "actually", "added", "adj", "affected", "affecting", "affects", "afterwards", "ah", "almost", "alone", "along", "already", "also", "although", "always", "among", "amongst", "announce", "another", "anybody", "anyhow", "anymore", "anyone", "anything", "anyway", "anyways", "anywhere", "apparently", "approximately", "arent", "arise", "around", "aside", "ask", "asking", "auth", "available", "away", "awfully", "b", "back", "became", "become", "becomes", "becoming", "beforehand", "begin", "beginning", "beginnings", "begins", "behind", "believe", "beside", "besides", "beyond", "biol", "brief", "briefly", "c", "ca", "came", "cannot", "can't", "cause", "causes", "certain", "certainly", "co", "com", "come", "comes", "contain", "containing", "contains", "couldnt", "date", "different", "done", "downwards", "due", "e", "ed", "edu", "effect", "eg", "eight", "eighty", "either", "else", "elsewhere", "end", "ending", "enough", "especially", "et", "etc", "even", "ever", "every", "everybody", "everyone", "everything", "everywhere", "ex", "except", "f", "far", "ff", "fifth", "first", "five", "fix", "followed", "following", "follows", "former", "formerly", "forth", "found", "four", "furthermore", "g", "gave", "get", "gets", "getting", "give", "given", "gives", "giving", "go", "goes", "gone", "got", "gotten", "h", "happens", "hardly", "hed", "hence", "hereafter", "hereby", "herein", "heres", "hereupon", "hes", "hi", "hid", "hither", "home", "howbeit", "however", "hundred", "id", "ie", "im", "immediate", "immediately", "importance", "important", "inc", "indeed", "index", "information", "instead", "invention", "inward", "itd", "it'll", "j", "k", "keep", "keeps", "kept", "kg", "km", "know", "known", "knows", "l", "largely", "last", "lately", "later", "latter", "latterly", "least", "less", "lest", "let", "lets", "like", "liked", "likely", "line", "little", "'ll", "look", "looking", "looks", "ltd", "made", "mainly", "make", "makes", "many", "may", "maybe", "mean", "means", "meantime", "meanwhile", "merely", "mg", "might", "million", "miss", "ml", "moreover", "mostly", "mr", "mrs", "much", "mug", "must", "n", "na", "name", "namely", "nay", "nd", "near", "nearly", "necessarily", "necessary", "need", "needs", "neither", "never", "nevertheless", "new", "next", "nine", "ninety", "nobody", "non", "none", "nonetheless", "noone", "normally", "nos", "noted", "nothing", "nowhere", "obtain", "obtained", "obviously", "often", "oh", "ok", "okay", "old", "omitted", "one", "ones", "onto", "ord", "others", "otherwise", "outside", "overall", "owing", "p", "page", "pages", "part", "particular", "particularly", "past", "per", "perhaps", "placed", "please", "plus", "poorly", "possible", "possibly", "potentially", "pp", "predominantly", "present", "previously", "primarily", "probably", "promptly", "proud", "provides", "put", "q", "que", "quickly", "quite", "qv", "r", "ran", "rather", "rd", "readily", "really", "recent", "recently", "ref", "refs", "regarding", "regardless", "regards", "related", "relatively", "research", "respectively", "resulted", "resulting", "results", "right", "run", "said", "saw", "say", "saying", "says", "sec", "section", "see", "seeing", "seem", "seemed", "seeming", "seems", "seen", "self", "selves", "sent", "seven", "several", "shall", "shed", "shes", "show", "showed", "shown", "showns", "shows", "significant", "significantly", "similar", "similarly", "since", "six", "slightly", "somebody", "somehow", "someone", "somethan", "something", "sometime", "sometimes", "somewhat", "somewhere", "soon", "sorry", "specifically", "specified", "specify", "specifying", "still", "stop", "strongly", "sub", "substantially", "successfully", "sufficiently", "suggest", "sup", "sure", "take", "taken", "taking", "tell", "tends", "th", "thank", "thanks", "thanx", "thats", "that've", "thence", "thereafter", "thereby", "thered", "therefore", "therein", "there'll", "thereof", "therere", "theres", "thereto", "thereupon", "there've", "theyd", "theyre", "think", "thou", "though", "thoughh", "thousand", "throug", "throughout", "thru", "thus", "til", "tip", "together", "took", "toward", "towards", "tried", "tries", "truly", "try", "trying", "ts", "twice", "two", "u", "un", "unfortunately", "unless", "unlike", "unlikely", "unto", "upon", "ups", "us", "use", "used", "useful", "usefully", "usefulness", "uses", "using", "usually", "v", "value", "various", "'ve", "via", "viz", "vol", "vols", "vs", "w", "want", "wants", "wasnt", "way", "wed", "welcome", "went", "werent", "whatever", "what'll", "whats", "whence", "whenever", "whereafter", "whereas", "whereby", "wherein", "wheres", "whereupon", "wherever", "whether", "whim", "whither", "whod", "whoever", "whole", "who'll", "whomever", "whos", "whose", "widely", "willing", "wish", "within", "without", "wont", "words", "world", "wouldnt", "www", "x", "yes", "yet", "youd", "youre", "z", "zero", "a's", "ain't", "allow", "allows", "apart", "appear", "appreciate", "appropriate", "associated", "best", "better", "c'mon", "c's", "cant", "changes", "clearly", "concerning", "consequently", "consider", "considering", "corresponding", "course", "currently", "definitely", "described", "despite", "entirely", "exactly", "example", "going", "greetings", "hello", "help", "hopefully", "ignored", "inasmuch", "indicate", "indicated", "indicates", "inner", "insofar", "it'd", "keep", "keeps", "novel", "presumably", "reasonably", "second", "secondly", "sensible", "serious", "seriously", "sure", "t's", "third", "thorough", "thoroughly", "three", "well", "wonder", "a", "about", "above", "above", "across", "after", "afterwards", "again", "against", "all", "almost", "alone", "along", "already", "also", "although", "always", "am", "among", "amongst", "amoungst", "amount", "an", "and", "another", "any", "anyhow", "anyone", "anything", "anyway", "anywhere", "are", "around", "as", "at", "back", "be", "became", "because", "become", "becomes", "becoming", "been", "before", "beforehand", "behind", "being", "below", "beside", "besides", "between", "beyond", "bill", "both", "bottom", "but", "by", "call", "can", "cannot", "cant", "co", "con", "could", "couldnt", "cry", "de", "describe", "detail", "do", "done", "down", "due", "during", "each", "eg", "eight", "either", "eleven", "else", "elsewhere", "empty", "enough", "etc", "even", "ever", "every", "everyone", "everything", "everywhere", "except", "few", "fifteen", "fify", "fill", "find", "fire", "first", "five", "for", "former", "formerly", "forty", "found", "four", "from", "front", "full", "further", "get", "give", "go", "had", "has", "hasnt", "have", "he", "hence", "her", "here", "hereafter", "hereby", "herein", "hereupon", "hers", "herself", "him", "himself", "his", "how", "however", "hundred", "ie", "if", "in", "inc", "indeed", "interest", "into", "is", "it", "its", "itself", "keep", "last", "latter", "latterly", "least", "less", "ltd", "made", "many", "may", "me", "meanwhile", "might", "mill", "mine", "more", "moreover", "most", "mostly", "move", "much", "must", "my", "myself", "name", "namely", "neither", "never", "nevertheless", "next", "nine", "no", "nobody", "none", "noone", "nor", "not", "nothing", "now", "nowhere", "of", "off", "often", "on", "once", "one", "only", "onto", "or", "other", "others", "otherwise", "our", "ours", "ourselves", "out", "over", "own", "part", "per", "perhaps", "please", "put", "rather", "re", "same", "see", "seem", "seemed", "seeming", "seems", "serious", "several", "she", "should", "show", "side", "since", "sincere", "six", "sixty", "so", "some", "somehow", "someone", "something", "sometime", "sometimes", "somewhere", "still", "such", "system", "take", "ten", "than", "that", "the", "their", "them", "themselves", "then", "thence", "there", "thereafter", "thereby", "therefore", "therein", "thereupon", "these", "they", "thickv", "thin", "third", "this", "those", "though", "three", "through", "throughout", "thru", "thus", "to", "together", "too", "top", "toward", "towards", "twelve", "twenty", "two", "un", "under", "until", "up", "upon", "us", "very", "via", "was", "we", "well", "were", "what", "whatever", "when", "whence", "whenever", "where", "whereafter", "whereas", "whereby", "wherein", "whereupon", "wherever", "whether", "which", "while", "whither", "who", "whoever", "whole", "whom", "whose", "why", "will", "with", "within", "without", "would", "yet", "you", "your", "yours", "yourself", "yourselves", "the", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "co", "op", "research-articl", "pagecount", "cit", "ibid", "les", "le", "au", "que", "est", "pas", "vol", "el", "los", "pp", "u201d", "well-b", "http", "volumtype", "par", "0o", "0s", "3a", "3b", "3d", "6b", "6o", "a1", "a2", "a3", "a4", "ab", "ac", "ad", "ae", "af", "ag", "aj", "al", "an", "ao", "ap", "ar", "av", "aw", "ax", "ay", "az", "b1", "b2", "b3", "ba", "bc", "bd", "be", "bi", "bj", "bk", "bl", "bn", "bp", "br", "bs", "bt", "bu", "bx", "c1", "c2", "c3", "cc", "cd", "ce", "cf", "cg", "ch", "ci", "cj", "cl", "cm", "cn", "cp", "cq", "cr", "cs", "ct", "cu", "cv", "cx", "cy", "cz", "d2", "da", "dc", "dd", "de", "df", "di", "dj", "dk", "dl", "do", "dp", "dr", "ds", "dt", "du", "dx", "dy", "e2", "e3", "ea", "ec", "ed", "ee", "ef", "ei", "ej", "el", "em", "en", "eo", "ep", "eq", "er", "es", "et", "eu", "ev", "ex", "ey", "f2", "fa", "fc", "ff", "fi", "fj", "fl", "fn", "fo", "fr", "fs", "ft", "fu", "fy", "ga", "ge", "gi", "gj", "gl", "go", "gr", "gs", "gy", "h2", "h3", "hh", "hi", "hj", "ho", "hr", "hs", "hu", "hy", "i", "i2", "i3", "i4", "i6", "i7", "i8", "ia", "ib", "ic", "ie", "ig", "ih", "ii", "ij", "il", "in", "io", "ip", "iq", "ir", "iv", "ix", "iy", "iz", "jj", "jr", "js", "jt", "ju", "ke", "kg", "kj", "km", "ko", "l2", "la", "lb", "lc", "lf", "lj", "ln", "lo", "lr", "ls", "lt", "m2", "ml", "mn", "mo", "ms", "mt", "mu", "n2", "nc", "nd", "ne", "ng", "ni", "nj", "nl", "nn", "nr", "ns", "nt", "ny", "oa", "ob", "oc", "od", "of", "og", "oi", "oj", "ol", "om", "on", "oo", "oq", "or", "os", "ot", "ou", "ow", "ox", "oz", "p1", "p2", "p3", "pc", "pd", "pe", "pf", "ph", "pi", "pj", "pk", "pl", "pm", "pn", "po", "pq", "pr", "ps", "pt", "pu", "py", "qj", "qu", "r2", "ra", "rc", "rd", "rf", "rh", "ri", "rj", "rl", "rm", "rn", "ro", "rq", "rr", "rs", "rt", "ru", "rv", "ry", "s2", "sa", "sc", "sd", "se", "sf", "si", "sj", "sl", "sm", "sn", "sp", "sq", "sr", "ss", "st", "sy", "sz", "t1", "t2", "t3", "tb", "tc", "td", "te", "tf", "th", "ti", "tj", "tl", "tm", "tn", "tp", "tq", "tr", "ts", "tt", "tv", "tx", "ue", "ui", "uj", "uk", "um", "un", "uo", "ur", "ut", "va", "wa", "vd", "wi", "vj", "vo", "wo", "vq", "vt", "vu", "x1", "x2", "x3", "xf", "xi", "xj", "xk", "xl", "xn", "xo", "xs", "xt", "xv", "xx", "y2", "yj", "yl", "yr", "ys", "yt", "zi", "zz"], Since we're at this, here's the list of stopwords used by MySQL in MyISAM : https://dev.mysql.com/doc/refman/5.7/en/fulltext-stopwords.html#fulltext-stopwords-stopwords-for-myisam-search-indexes, ["a's" , "able" , "about" , "above" , "according" , "accordingly" , "across" , "actually" , "after" , "afterwards" , "again" , "against" , "ain't" , "all" , "allow" , "allows" , "almost" , "alone" , "along" , "already" , "also" , "although" , "always" , "am" , "among" , "amongst" , "an" , "and" , "another" , "any" , "anybody" , "anyhow" , "anyone" , "anything" , "anyway" , "anyways" , "anywhere" , "apart" , "appear" , "appreciate" , "appropriate" , "are" , "aren't" , "around" , "as" , "aside" , "ask" , "asking" , "associated" , "at" , "available" , "away" , "awfully" , "be" , "became" , "because" , "become" , "becomes" , "becoming" , "been" , "before" , "beforehand" , "behind" , "being" , "believe" , "below" , "beside" , "besides" , "best" , "better" , "between" , "beyond" , "both" , "brief" , "but" , "by" , "c'mon" , "c's" , "came" , "can" , "can't" , "cannot" , "cant" , "cause" , "causes" , "certain" , "certainly" , "changes" , "clearly" , "co" , "com" , "come" , "comes" , "concerning" , "consequently" , "consider" , "considering" , "contain" , "containing" , "contains" , "corresponding" , "could" , "couldn't" , "course" , "currently" , "definitely" , "described" , "despite" , "did" , "didn't" , "different" , "do" , "does" , "doesn't" , "doing" , "don't" , "done" , "down" , "downwards" , "during" , "each" , "edu" , "eg" , "eight" , "either" , "else" , "elsewhere" , "enough" , "entirely" , "especially" , "et" , "etc" , "even" , "ever" , "every" , "everybody" , "everyone" , "everything" , "everywhere" , "ex" , "exactly" , "example" , "except" , "far" , "few" , "fifth" , "first" , "five" , "followed" , "following" , "follows" , "for" , "former" , "formerly" , "forth" , "four" , "from" , "further" , "furthermore" , "get" , "gets" , "getting" , "given" , "gives" , "go" , "goes" , "going" , "gone" , "got" , "gotten" , "greetings" , "had" , "hadn't" , "happens" , "hardly" , "has" , "hasn't" , "have" , "haven't" , "having" , "he" , "he's" , "hello" , "help" , "hence" , "her" , "here" , "here's" , "hereafter" , "hereby" , "herein" , "hereupon" , "hers" , "herself" , "hi" , "him" , "himself" , "his" , "hither" , "hopefully" , "how" , "howbeit" , "however" , "i'd" , "i'll" , "i'm" , "i've" , "ie" , "if" , "ignored" , "immediate" , "in" , "inasmuch" , "inc" , "indeed" , "indicate" , "indicated" , "indicates" , "inner" , "insofar" , "instead" , "into" , "inward" , "is" , "isn't" , "it" , "it'd" , "it'll" , "it's" , "its" , "itself" , "just" , "keep" , "keeps" , "kept" , "know" , "known" , "knows" , "last" , "lately" , "later" , "latter" , "latterly" , "least" , "less" , "lest" , "let" , "let's" , "like" , "liked" , "likely" , "little" , "look" , "looking" , "looks" , "ltd" , "mainly" , "many" , "may" , "maybe" , "me" , "mean" , "meanwhile" , "merely" , "might" , "more" , "moreover" , "most" , "mostly" , "much" , "must" , "my" , "myself" , "name" , "namely" , "nd" , "near" , "nearly" , "necessary" , "need" , "needs" , "neither" , "never" , "nevertheless" , "new" , "next" , "nine" , "no" , "nobody" , "non" , "none" , "noone" , "nor" , "normally" , "not" , "nothing" , "novel" , "now" , "nowhere" , "obviously" , "of" , "off" , "often" , "oh" , "ok" , "okay" , "old" , "on" , "once" , "one" , "ones" , "only" , "onto" , "or" , "other" , "others" , "otherwise" , "ought" , "our" , "ours" , "ourselves" , "out" , "outside" , "over" , "overall" , "own" , "particular" , "particularly" , "per" , "perhaps" , "placed" , "please" , "plus" , "possible" , "presumably" , "probably" , "provides" , "que" , "quite" , "qv" , "rather" , "rd" , "re" , "really" , "reasonably" , "regarding" , "regardless" , "regards" , "relatively" , "respectively" , "right" , "said" , "same" , "saw" , "say" , "saying" , "says" , "second" , "secondly" , "see" , "seeing" , "seem" , "seemed" , "seeming" , "seems" , "seen" , "self" , "selves" , "sensible" , "sent" , "serious" , "seriously" , "seven" , "several" , "shall" , "she" , "should" , "shouldn't" , "since" , "six" , "so" , "some" , "somebody" , "somehow" , "someone" , "something" , "sometime" , "sometimes" , "somewhat" , "somewhere" , "soon" , "sorry" , "specified" , "specify" , "specifying" , "still" , "sub" , "such" , "sup" , "sure" , "t's" , "take" , "taken" , "tell" , "tends" , "th" , "than" , "thank" , "thanks" , "thanx" , "that" , "that's" , "thats" , "the" , "their" , "theirs" , "them" , "themselves" , "then" , "thence" , "there" , "there's" , "thereafter" , "thereby" , "therefore" , "therein" , "theres" , "thereupon" , "these" , "they" , "they'd" , "they'll" , "they're" , "they've" , "think" , "third" , "this" , "thorough" , "thoroughly" , "those" , "though" , "three" , "through" , "throughout" , "thru" , "thus" , "to" , "together" , "too" , "took" , "toward" , "towards" , "tried" , "tries" , "truly" , "try" , "trying" , "twice" , "two" , "un" , "under" , "unfortunately" , "unless" , "unlikely" , "until" , "unto" , "up" , "upon" , "us" , "use" , "used" , "useful" , "uses" , "using" , "usually" , "value" , "various" , "very" , "via" , "viz" , "vs" , "want" , "wants" , "was" , "wasn't" , "way" , "we" , "we'd" , "we'll" , "we're" , "we've" , "welcome" , "well" , "went" , "were" , "weren't" , "what" , "what's" , "whatever" , "when" , "whence" , "whenever" , "where" , "where's" , "whereafter" , "whereas" , "whereby" , "wherein" , "whereupon" , "wherever" , "whether" , "which" , "while" , "whither" , "who" , "who's" , "whoever" , "whole" , "whom" , "whose" , "why" , "will" , "willing" , "wish" , "with" , "within" , "without" , "won't" , "wonder" , "would" , "wouldn't" , "yes" , "yet" , "you" , "you'd" , "you'll" , "you're" , "you've" , "your" , "yours" , "yourself" , "yourselves" , "zero"].
J'ai Quitté Mon Mari Et Je Suis Heureuse, Synchroniser Contact Iphone Mac Icloud, Synchroniser Ses Contacts Gmail Sur Iphone 12, Magasin Barbes Mariage, Thierry Henry Tatiana Henry, Appareil électroménager, Ballon D'or 2020 Date, Collège Maintenon Tours, Fusil à Pompe Fabarm Martial, Erik Larson Le Diable Dans La Ville Blanche,