Search Results

Search found 293 results on 12 pages for 'phrases'.

Page 2/12 | < Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >

  • Database of common translated phrases for localization?

    - by richardtallent
    I'd like to localize my app into a few other languages, all of which I can barely order a drink in. Does anyone know of an online resource for translations of common software menu options, messages, etc. into other languages? Given the number of developers (both OSS and closed-source) that deal with localization, and the overlap of resource strings between, it seems like a pretty obvious fit for a wiki or open source package, but I can't seem to find anything like this. I could try to mine the Windows resource files or dig around in resource strings in robust OSS apps like Firefox, but I suspect I'm not the first person to think of this and surely there is a site that I'm just not finding yet. Update: since nothing exists like this that I could find, I started a feeble attempt at an open-source string library. It's just a boilerplate Google spreadsheet now, so if you want to contribute, please go here: http://www.xark.org/

    Read the article

  • How do I use the sed command to remove all lines between 2 phrases (including the phrases themselves

    - by fzkl
    I am generating a log from which I want to remove X startup output which looks like this: X.Org X Server 1.7.6 Release Date: 2010-03-17 X Protocol Version 11, Revision 0 Build Operating System: Linux 2.6.31-607-imx51 armv7l Ubuntu Current Operating System: Linux nvidia 2.6.33.2 #1 SMP PREEMPT Mon May 31 21:38:29 PDT 2010 armv7l Kernel command line: mem=448M@0M nvmem=64M@448M mem=512M@512M chipuid=097c81c6425f70d7 vmalloc=320M video=tegrafb console=ttyS0,57600n8 usbcore.old_scheme_first=1 tegraboot=nand root=/dev/nfs ip=:::::usb0:on rw tegra_ehci_probe_delay=5000 smp dvfs tegrapart=recovery:1b80:a00:800,boot:2680:1000:800,environment:3780:40:800,system:38c0:2bc00:800,cache:2f5c0:4000:800,userdata:336c0:c840:800 envsector=3080 Build Date: 23 April 2010 05:19:26PM xorg-server 2:1.7.6-2ubuntu7 (Bryce Harrington <[email protected]>) Current version of pixman: 0.16.4 Before reporting problems, check http://wiki.x.org to make sure that you have the latest version. Markers: (--) probed, (**) from config file, (==) default setting, (++) from command line, (!!) notice, (II) informational, (WW) warning, (EE) error, (NI) not implemented, (??) unknown. (==) Log file: "/var/log/Xorg.0.log", Time: Wed Jun 16 19:52:00 2010 (==) Using config file: "/etc/X11/xorg.conf" (==) Using config directory: "/usr/lib/X11/xorg.conf.d" Is there any way to do this without manually checking pattern for each line?

    Read the article

  • .NET Regular Expression to split multiple words or phrases

    - by Cj Anderson
    I'm using the code below to take a string and split it up into an array. It will take: Disney Land and make it two separate elements. If the string contains "Disney Land" then it is one element in the array. Works great, however it adds some empty elements to the array each time. So I just iterate over the elements and remove them if they are empty. Is there a tweak to the code below that will prevent those empty elements from occurring? Private m_Reg As Regex m_Reg = New Regex("([^""^\s]+)\s*|""([^""]+)""\s*") Dim rezsplit = m_Reg.Split(criteria)

    Read the article

  • Match Phrases (in array) in text string

    - by Tim Hanssen
    I'm using the Twitter API streaming to collect thousand of tweets every minute. They need to be matched to a list of keywords (can contain spaces). This is my current method: $text = preg_replace( '/[^a-z0-9]+/i', ' ', strtolower( $data['text'] ) ); $breakout = explode( " ", $text ); $result = array_intersect( $this->_currentTracks, $breakout ); I chop the tweet into words, and the matches them against my current keywords. This works well for all the keywords without a space ofc. If I wanted to find for example "Den Haag", It won't show up, because the string is exploded into words (based on the spaces). Any ideas about how I can do this in a quick way? Kind regards, Tim

    Read the article

  • Why "Estimated Avg. CPC" changes when using multiple phrases in Google's Traffic Estimator?

    - by Misha Moroshko
    I use Google's Traffic Estimator to calculate the Estimated Average Cost Per Click. I use the following filters: Locations: Australia Languages: English Max CPC = $10000 (just for this example) When I enter the following phrases: air conditioner melbourne air conditioning melbourne the result is: air conditioning melbourne: AU$6.53 air conditioner melbourne: AU$5.97 But, when I use a single phrase: air conditioner melbourne the result is: air conditioner melbourne: AU$6.22 Why is this difference?

    Read the article

  • Finding privacy sensitive keywords

    - by user69914
    I have a list of about 80,000 unique words or short phrases. These words and short phrases are associated with other data. I'm trying to create a blacklist so I won't use any of the data associated with privacy sensitive words or short phrases. Example sensitive words or short phrases might be associated with sexual or illicit activity. I know that privacy and sensitivity are in the eye of the beholder, but I'm looking for any established list or solutions of this nature.

    Read the article

  • How to transform phrases and words into MD5 hash?

    - by brilliant
    Can anyone, please, explain to me how to transform a phrase like "I want to buy some milk" into MD5? I read Wikipedia article on MD5, but the explanation given there is beyond my comprehension: "MD5 processes a variable-length message into a fixed-length output of 128 bits. The input message is broken up into chunks of 512-bit blocks (sixteen 32-bit little endian integers)" "sixteen 32-bit little endian integers" is already hard for me. I checked the article on little endians and didn't understand a bit. However, the examples of some phrases and their MD5 hashes are very nice: MD5("The quick brown fox jumps over the lazy dog") = 9e107d9d372bb6826bd81d3542a419d6 MD5("The quick brown fox jumps over the lazy dog.") = e4d909c290d0fb1ca068ffaddf22cbd0 Can anyone, please, explain to me how this MD5 algorithm works on some very simple example? And also, perhaps you know some software or a code that would transform phrases into their MD5. If yes, please, let me know.

    Read the article

  • Use Python to search one .txt file for a list of words or phrases (and show the context)

    - by prupert
    Basically as the question states. I am fairly new to Python and like to learn by seeing and doing. I would like to create a script that searches through a text document (say the text copied and pasted from a news article for example) for certain words or phrases. Ideally, the list of words and phrases would be stored in a separate file. When getting the results, it would be great to get the context of the results. So maybe it could print out the 50 characters in the text file before and after each search term that has been found. It'd be cool if it also showed what line the search term was found on. Any pointers on how to code this, or even code examples would be much appreciated.

    Read the article

  • How to write efficient code for extracting Noun phrases?

    - by Arun Abraham
    I am trying to extract phrases using rules such as the ones mentioned below on text which has been POS tagged 1) NNP - NNP (- indicates followed by) 2) NNP - CC - NNP 3) VP - NP etc.. I have written code in this manner, Can someone tell me how i can do in a better manner. List<String> nounPhrases = new ArrayList<String>(); for (List<HasWord> sentence : documentPreprocessor) { //System.out.println(sentence.toString()); System.out.println(Sentence.listToString(sentence, false)); List<TaggedWord> tSentence = tagger.tagSentence(sentence); String lastTag = null, lastWord = null; for (TaggedWord taggedWord : tSentence) { if (lastTag != null && taggedWord.tag().equalsIgnoreCase("NNP") && lastTag.equalsIgnoreCase("NNP")) { nounPhrases.add(taggedWord.word() + " " + lastWord); //System.out.println(taggedWord.word() + " " + lastWord); } lastTag = taggedWord.tag(); lastWord = taggedWord.word(); } } In the above code, i have done only for NNP followed by NNP extraction, how can i generalise it so that i can add other rules too. I know that there are libraries available for doing this , but wanted to do this manually.

    Read the article

  • Bash Script (Cygwin) to grep a logfile for multiple phrases and output a new file for each phrase.

    - by Chris
    Each logfile is titled based on the date it was created in the format YYYY-MM-DD.txt. I need to search each file for five different keywords and output five files prepended with the specific keyword and then the original logfile name. Example: Test-YYYY-MM-DD.txt grep -i -w 'keyword1' YYYY-MM-DD.txt Keyword1-YYYY-MM-DD.txt If it's also possible to email each new file to a different person, that would be helpful as well.

    Read the article

  • What should be the RegEx if I want to find the text between the phrases " IF (NEW." and " !"?

    - by Parth
    What should be the RegEx if I want to find the text between the phrases " IF (NEW." and " !"? Likewise I am thinking of the pattern as $pattern = '/(?<= IF (NEW.)[^ !]+/'; I am matching it as $input = $row4['ACTION_STATEMENT']; preg_match_all($pattern, $input, $captures); What if I want $captures as an array, in which all values will be stored which will match with above pattern being in between of this pattern?

    Read the article

  • Iterating through String word at a time in Python

    - by AlgoMan
    I have a string buffer of a huge text file. I have to search a given words/phrases in the string buffer. Whats the efficient way to do it ? I tried using re module matches. But As i have a huge text corpus that i have to search through. This is taking large amount of time. Given a Dictionary of words and Phrases. I iterate through the each file, read that into string , search all the words and phrases in the dictionary and increment the count in the dictionary if the keys are found. One small optimization that we thought was to sort the dictionary of phrases/words with the max number of words to lowest. And then compare each word start position from the string buffer and compare the list of words. If one phrase is found, we don search for the other phrases (as it matched the longest phrase ,which is what we want) Can some one suggest how to go about word by word in the string buffer. (Iterate string buffer word by word) ? Also, Is there any other optimization that can be done on this ?

    Read the article

  • Tag Cloud Data Backend

    - by Waldron
    I want to be able to generate tag clouds from free text that comes from any number of different sources. For clarity, I'm not talking about how to display a tag cloud once the critical tags/phrases are already discovered, I'm hoping to be able to discover the meaningful phrases themselves... preferable on a PHP/MySQL stack. If I had to do this myself, I'd start by establishing some kind of index for words/phrases that gives a "normal" frequency for any word/phrase. eg "Constantinople" occurs once in every 1,000,000 words on average (normal frequency "0.000001"). Then as I analyze a body of text, I'd find the individual words/phrases (another challenge!), find frequencies of each within the input, and measure against the expected freqeuncy. Words that have the highest ratio against expected frequency get boosted priority in the cloud. I'd like to believe someone else has already done this, WAY better than I could hope to, but I'll be damned if I can find it. Any recommendations??

    Read the article

  • Java word scramble game [closed]

    - by Dan
    I'm working on code for a word scramble game in Java. I know the code itself is full of bugs right now, but my main focus is getting a vector of strings broken into two separate vectors containing hints and words. The text file that the strings are taken from has a colon separating them. So here is what I have so far. public WordApp() { inputRow = new TextInputBox(); inputRow.setLocation(200,100); phrases = new Vector <String>(FileUtilities.getStrings()); v_hints = new Vector<String>(); v_words = new Vector<String>(); textBox = new TextBox(200,100); textBox.setLocation(200,200); textBox.setText(scrambled + "\n\n Time Left: \t" + seconds/10 + "\n Score: \t" + score); hintBox = new TextBox(200,200); hintBox.setLocation(300,400); hintBox.hide(); Iterator <String> categorize = phrases.iterator(); while(categorize.hasNext()) { int index = phrases.indexOf(":"); String element = categorize.next(); v_words.add(element.substring(0,index)); v_hints.add(element.substring(index +1)); phrases.remove(index); System.out.print(index); } The FileUtilities file was given to us by the pofessor, here it is. import java.util.*; import java.io.*; public class FileUtilities { private static final String FILE_NAME = "javawords.txt"; //------------------ getStrings ------------------------- // // returns a Vector of Strings // Each string is of the form: word:hint // where word contains no spaces. // The words and hints are read from FILE_NAME // // public static Vector<String> getStrings ( ) { Vector<String> words = new Vector<String>(); File file = new File( FILE_NAME ); Scanner scanFile; try { scanFile = new Scanner( file); } catch ( IOException e) { System.err.println( "LineInput Error: " + e.getMessage() ); return null; } while ( scanFile.hasNextLine() ) { // read the word and follow it by a colon String s = scanFile.nextLine().trim().toUpperCase() + ":"; if( s.length()>1 && scanFile.hasNextLine() ) { // append the hint and add to collection s+= scanFile.nextLine().trim(); words.add(s); } } // shuffle Collections.shuffle(words); return words; } }

    Read the article

  • The Magic of Keywords

    When you ask this question of the search engines, there are many definitions all meaning the same thing. The one I liked the best is "Keywords are the words or phrases used in a Web Page that will be noticed and indexed by Search Engines, and guide people to your web site when they type in those words or phrases at the Search Engine." In fact keywords are a very necessary part of an internet marketer's resources, if you want people to find and read what you have written or advertised.

    Read the article

  • Search Engine Optimization - All You Need to Know About SEO and Why You Need It?

    'Search Engine Optimization' (SEO), in itself is a self explanatory statement, it is more than just keywords. The word 'optimize' means to make the best or most effective use of the available resource or a situation. SEO is the process which helps in the improvement of the traffic caused to the web site from various search engines. The basic concept of SEO is to choose targeted keyword phrases related to a site, and ensuring that the site places well, when those keyword phrases are part of a Web search.

    Read the article

  • Get More Traffic to Your Website With the Help of a SEO Company

    A SEO Company is an organization that deals with search engines to bring higher ranks for its client website and Keywords / Key phrases. It creates and implements strategies to get Top 10 ranking in search engine results pages (SERPs) for the targeted keywords / key phrases of the website. It deals with the changing algorithms of the search engines and changing human behavior.

    Read the article

  • spam and dirty words comment post filtering in python (django)

    - by sintaloo
    Hi All, My basic question is how to filter spam and dirty words in a comment post system under python (django). I have a collection of phrases (approximately 3000 phrases) to be filtered. Question (1), are there any existing open source python (or django) package/module/plugin which can handle this job? I knew there was one called Akismet. But from what I understood, it will not solve my problem. Akismet is just a web service and filter the words dictionary defined by Akismet. But I have my own collection of words. Please correct me if I am wrong. Question (2), If there is no such open source package I can use, how to create my own one? The only thing I can think of it's to use regular expression and join all the word phrases with 'or' in a regular expression. but I have 3000 phrases, I think it won't work in term of performance and filter every comment post. any suggestions where should I start from? Thank you very much for your help and time.

    Read the article

  • Copying contents of a MySQL table to a table in another (local) database

    - by Philip Eve
    I have two MySQL databases for my site - one is for a production environment and the other, much smaller, is for a testing/development environment. Both have identical schemas (except when I am testing something I intend to change, of course). A small number of the tables are for internationalisation purposes: TransLanguage - non-English languages TransModule - modules (bundles of phrases for translation, that can be loaded individually by PHP scripts) TransPhrase - individual phrases, in English, for potential translation TranslatedPhrase - translations of phrases that are submitted by volunteers ChosenTranslatedPhrase - screened translations of phrases. The volunteers who do translation are all working on the production site, as they are regular users. I wanted to create a stored procedure that could be used to synchronise the contents of four of these tables - TransLanguage, TransModule, TransPhrase and ChosenTranslatedPhrase - from the production database to the testing database, so as to keep the test environment up-to-date and prevent "unknown phrase" errors from being in the way while testing. My first effort was to create the following procedure in the test database: CREATE PROCEDURE `SynchroniseTranslations` () LANGUAGE SQL NOT DETERMINISTIC MODIFIES SQL DATA SQL SECURITY DEFINER BEGIN DELETE FROM `TransLanguage`; DELETE FROM `TransModule`; INSERT INTO `TransLanguage` SELECT * FROM `PRODUCTION_DB`.`TransLanguage`; INSERT INTO `TransModule` SELECT * FROM `PRODUCTION_DB`.`TransModule`; INSERT INTO `TransPhrase` SELECT * FROM `PRODUCTION_DB`.`TransPhrase`; INSERT INTO `ChosenTranslatedPhrase` SELECT * FROM `PRODUCTION_DB`.`ChosenTranslatedPhrase`; END When I try to run this, I get an error message: "SELECT command denied to user 'username'@'localhost' for table 'TransLanguage'". I also tried to create the procedure to work the other way around (that is, to exist as part of the data dictionary for the production database rather than the test database). If I do it that, way, I get an identical message except it tells me I'm denied the DELETE command rather than SELECT. I have made sure that my user has INSERT, DELETE, SELECT, UPDATE and CREATE ROUTINE privileges on both databases. However, it seems as though MySQL is reluctant to let this user exercise its privileges on both databases at the same time. How come, and is there a way around this?

    Read the article

  • Save searches in Google Reader

    - by pinniger
    Ok, I’m trying to find a way to search my rss feeds in Google Reader every day for certain phrases. If any of the phrases are found, I want to be notified. I thought Google Alerts would do this no problem, but it does not. Does anybody know of any services or any other way of doing this?

    Read the article

  • Password best practices

    - by pcampbell
    Given the recent events with a 'hacker' learning and retrying passwords from website administrators, what can we suggest to everyone about best practices when it comes to passwords? use unique passwords between sites (i.e. never re-use a password) words found in the dictionary are to be avoided consider using words or phrases from a non-English language use pass phrases and use the first letter of each word l33tifying doesn't help very much Please suggest more!

    Read the article

< Previous Page | 1 2 3 4 5 6 7 8 9 10 11 12  | Next Page >