synonyms words in english

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Introduction of _php example by using PHP to extract the initials of Chinese and English words and numerals

if (ord ($s) >=48 and Ord ($s) Switch (ICONV_SUBSTR ($s, 0,1, ' utf-8 ')) { Case 1:return "Y"; Case 2:return "E"; Case 3:return "S"; Case 4:return "S"; Case 5:return "W"; Case 6:return "L"; Case 7:return "Q"; Case 8:return "B"; Case 9:return "J"; Case 0:return "L"; } }else if (ord ($s) >=65 and Ord ($s) Return substr ($s, 0, 1); }else if (ord ($s) >=97 and Ord ($s) Return Strtoupper (substr ($s, 0, 1)); } Else { Return Iconv_substr ($s 0,0,1, ' utf-8 ');//

JS find the most frequently occurring words in an English article

The following function is JS to find an English article in the most frequently occurring word (composed of 26 letters of the letter), the output of the word and the number of occurrences, not case-sensitive, mainly the use of regular:functioncounts (article) {article=Article.trim (). toUpperCase (); varArray = Article.match (/[a-z]+/g); Article= "" +array.join ("") + ""; varmax = 0,word,num = 0,maxword= ""; for(vari = 0; i ) {Word=NewREGEXP ("+array[

The order of words in an English sentence is reversed and then output. For example, enter "How IS is", output "you is how";

Import Java.util.Scanner;public class two{public static void Main (string[] args) {Scanner input = new Scanner (system.in);System.out.print ("Please enter English:");String str = input.nextline ();string[] Strarr = Str.split ("\\s+|[,]");StringBuffer result = new StringBuffer ();for (int i = Strarr.length-1;i >=0; i--) {Result.append (Strarr[i] + "");}Result.setcharat (Str.length ()-0, (char) 0);System.out.println ("Reversed order results are:" +resul

The number of English words in Delphi programming statistics

Chinese use of Chinese characters, but also mixed with these English, so that we in the number of trouble, the computer is measured in bytes, a Chinese character count two words, and the Chinese custom is a Chinese character is a word, so the computer to calculate must solve the following problems: Using text control TMemo to store articles, the number of characters in both Chinese and

AWS and OpenStack Service comparison, OpenStack service Chinese translation of English words

Use AWS Services OpenStack Services The Chinese interpretation of OpenStack words Dashboard AWS Console Horizon The horizon of the world; Calculate compute EC2 Nova Star Internet Vpc Neutron Neutron Object storage S3 Swift Swift; agile. Block storage Ebs Cinder Cinder N. Slag

The pronunciation law of passive form of English------------words

For the past tense of the regular verb, there is a small formula "lightly/t/, the turbid yuan/d/,t,d after reading/id/" is the word with the end of the clear consonant to study/t/, a turbid consonant or a vowel end read/d/, in the words of the consonant/t/and/d/the end of the read/id/.such as like/laik/----> liked/laikt/;change/t?eind?/----> changed/t?eind?d/,bore/b?:/ ----> bored/b:d/;dictate/dik ' teit/----> Dictated/dik ' teitid/,hand/hænd/----> Ha

Unity3d Common English words

;Scale: ScalesSplit: DetachTangents: Tangent, want to cut;Factor: factor;Special: A dedicatedEmitter: EmitterEllipsoid: OvalVelocity: velocity, turnover rateWeapons: a tool of struggle; a weapon; an arm.Grenades:n. Fire bombs; grenade Vt. Throw grenades; attack with tear gasConvex: Convex bodySmooth: smooth;Sphere: SphereAutomatically: AutomaticCompression: CompressionAdd Ammo to Inventory: Add Ammo StockDestroy the Ammo box: destroy Ammo BoxLarge Flame: Big FlameZoom: rise sharply; move the cam

Python's way of translating numbers expressed in English words into Arabic numerals

This article describes the Python implementation of the method of translating the numerals in English words into Arabic numerals. Share to everyone for your reference. The implementation methods are as follows: ? 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26-27--28 29---30 31--32 33 34 35 36 37 38-39 40 41 42 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65

Common English words in the HTML5

String stringsBoolean Boolean mathematical System, 1,0Node nodes, knotLog logs, recordingConsole ConsoleAlert AlarmDocument documentsWrite writesRead ReadingObject objects, targets, objectsNumber numbersType typesParse Parsefloat floatTrue, really.False false.Array queues, arraysIf ifSwitch switches, junction stationsDoWhile whenBreak breaks, breaks, jumps outContinue continueArguments parameterselse otherwisereturn returns, returnedfunction functionsMath MathsDate DatesSet timeout setting timed

1) The order of words in an English sentence is reversed and then output. For example, enter "How is", Output "You is how", (2) write unit test to test, (3) Use Elcemma to view code coverage, require coverage to reach 100%

package;import Java.util.Scanner; Publicclass Testtwo { PublicStaticvoid Testtwo (String str) {TODO auto-generated Method stubstring[] Strarr = Str.split ("\\s+|[,]");StringBuffer result = new stringbuffer (); for (int i = strarr.length-1;i >=0; i--) {Result.append (Strarr[i] + "");}Result.setcharat (Str.length ()-0, (char) 0);System. out. println ("Reversed order results are:" +result.tostring ());}} package;Import static org.junit.assert.*;import org.junit.Test; Publicclass testtwotest {@Test

Reverse the order of words in an English sentence and then output

Package LX;Import Java.util.Scanner; Publicclass Transpose {/*** @param args*/ PublicStatic void transpose (String str) {string[] Strarr = Str.split ("\\s+|[,]");StringBuffer result = new stringbuffer (); for (int i = strarr.length-1; I >= 0; i--) {Result.append (Strarr[i] + "");}Result.setcharat (Str.length ()-0, (char) 0);System. out. println (" inverted string after order::" + result.tostring ());}}Package LX;Import static org.junit.assert.*;Import Org.junit.Test;public class Transposetest {@

The 74 most useful English words that start with XYZ

1. Xerox2, Xenophobe3, Xenophobia4, Xerography5, Xerophyte6. Xerox1, Yale2, Yangshuo3, Yankee4, Yugoslavia5, Yacht6. Yang7, Yard8, yardstick9. Yarn10, yawn11, yeah12. Year13, yearly14, yearn15, yeast16, Yell17, Yellow18. Yelp19, Yen20, yes21, yesterday22, yet23. Yield24, yielding25. Yin26, yoga27, yoghurt28, yogurt29, Yoke30, Yokel31, Yolk32, yore33, you34. Young35, youngster36, your37, Yours38, Yourself39, yourselves40, Youth41, youthful42, Yuan43, Yuck44, Yummy1, Zeal2, Zealot3, zealotry4, zea

List of English words and phrases-daily addition

Vocabulary is still a major problem for me. Because the vocabulary is not large enough, the speed and efficiency of reading English documents are not satisfactory. Now, let's take a look at the words and phrases that are not familiar enough to read. Involve* [IN 'v into Lv]Vt. Includes, confusions, potential, and encirclement Probably* ['Pr sans B sans bli]Ad. Probably, maybeMore probably, most probably Sn

Common prefixes of radicals of English words (1)

1. prefix of "prefix" 1.Pre-Precaution prevention (pre + caution be careful-> be careful in advance-> prevent) Prefix (prefix + fix fixed --> prefix) Preschool? Prehistory? Prepay? Prebuilt? Preface? 2.Ante-Antedate: Early write date; earlier than (ante + date --> early write date) Before anterior (before ante + erior... --> before ante) 3.Fore-Forefather predecessors, ancestor (fore front + Father --> ancestor) Foresee for foresight, see first (fore in advance + see for foresight) Forebo

Python3 How to count common words in English documents? (Attached explanation)

# coding:utf-8# in[32]: #import requests#from bs4 Import beautifulsoup#res = Requests.get ("http://www.guancha.cn/ America/2017_01_21_390488_s.shtml ") #res. Encoding = ' utf-8 ' #soup = BeautifulSoup (Res.text, ' lxml ') # in[66]:speech_new = Open ("Speech.txt", ' r ', encoding = ' utf-8 '). Read () #当然你要有个英文文档speech = Speech_new.lower (). Split () #lower () change all uppercase to lowercase , SPLTT () splits the string by default to Space # In[70]:d ic = {}for I in speech:if I not in dic:

HTML CSS Common English words

Head body body NBS P;title title table form list List item terms row line column column form form input input text text Nbsp;password password submit submit Reset reset nbsp button buttons image Ancho R anchor audio video RU Ler Ruler Division Division Label tags NBSP;NBSP;NBSP;NBSP;NB sp; style script script Select selection option options Paragraph paragraph NBSP;NBSP;NBSP ; color

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