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  • Display the form again ?

    - by noralain
    Hi all, I want to ask about the form in javascript .. I want to do a game that the user enter the correct word, then alert message will apeared for correct word.. When the user do the first word correctly, the program will display another word (to be corrected) .. but the problem which i faced that i can't make the form display again to continue play the game .. i used : var d = document.getElementById("form1"); d.style.visibility = "visible"; but it doesn't work !! This is my code: <title>Word Decoder</title> <script type="text/javascript"> function checkWord(word, score){ var ok = words[score].valueOf(); var ok1 = document.getElementById("wordid"); if(ok1.value == ok){ score ++; alert("Correct, your score is: " + score); var d = document.getElementById("form1"); d.style.visibility = "visible"; return false; } else { alert("Wrong Spelling"); return false; } } </script> </head> <body> <script type="text/javascript"> var words = new Array ("apple", "orange", "banana", "manago", "table"); var reWords = new Array ("alpep", "ergano", "aaabnn", "goamna", "lbeat"); var count = 0; var score = 0; "</br>"; </script> <form id="form1"> <br> <dir id="displayForm" style="position: relative; visibility: visible; display: block"> <h3><b> <script> document.write(reWords[score]);</script> </b></h3> <br> Enter the correct word: <input type="text" value="" id="wordid"/> <input type="submit" value="Check Answer ??" onclick="return checkWord(wordid, score);" /> </dir> </form> </body> Can help me to solve the problem? Again: I want the game will display a scrambled word and the user must unscrambled the word to move to the other word. The problem is i can't display the form again to make the user unscrambled the second, third ..etc words..

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  • Memory assignment of local variables

    - by Mask
    void function(int a, int b, int c) { char buffer1[5]; char buffer2[10]; } We must remember that memory can only be addressed in multiples of the word size. A word in our case is 4 bytes, or 32 bits. So our 5 byte buffer is really going to take 8 bytes (2 words) of memory, and our 10 byte buffer is going to take 12 bytes (3 words) of memory. That is why SP is being subtracted by 20. Why it's not ceil((5+10)/4)*4=16?

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  • using Dependency Parser in Stanford coreNLP

    - by Eddie Dovzhik
    I am using the Stanford coreNLP ( http://nlp.stanford.edu/software/corenlp.shtml ) in order to parse sentences and extract dependencies between the words. I have managed to create the dependencies graph like in the example in the supplied link, but I don't know how to work with it. I can print the entire graph using the toString() method, but the problem I have is that the methods that search for certain words in the graph, such as getChildList, require an IndexedWord object as a parameter. Now, it is clear why they do because the nodes of the graph are of IndexedWord type, but it's not clear to me how I create such an object in order to search for a specific node. For example: I want to find the children of the node that represents the word "problem" in my sentence. How I create an IndexWord object that represents the word "problem" so I can search for it in the graph?

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  • parse search string

    - by Benjamin Ortuzar
    I have search strings, similar to the one bellow: energy food "olympics 2010" Terrorism OR "government" OR cups NOT transport and I need to parse it with PHP5 to detect if the content belongs to any of the following clusters: AllWords array AnyWords array NotWords array These are the rules i have set: If it has OR before or after the word or quoted words if belongs to AnyWord. If it has a NOT before word or quoted words it belongs to NotWords If it has 0 or more more spaces before the word or quoted phrase it belongs to AllWords. So the end result should be something similar to: AllWords: (energy, food, "olympics 2010") AnyWords: (terrorism, "government", cups) NotWords: (Transport) What would be a good way to do this?

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  • Use LINQ and lambdas to put string in proper case

    - by Tobias Funke
    I have this function called ProperCase that takes a string, then converts the first letter in each word to uppercase. So ProperCase("john smith") will return "John Smith". Here is the code: public string ProperCase(string input) { var retVal = string.Empty; var words = input.Split(' '); foreach (var word in words) { if (word.Length == 1) { retVal += word.ToUpper(); } else if (word.Length > 1) { retVal += word.Substring(0, 1).ToUpper() + word.Substring(1).ToLower(); } retVal += ' '; } if (retVal.Length > 0) { retVal = retVal.Substring(0, retVal.Length - 1); } return retVal; } This code workds perfectly, but I'm pretty sure I can do it more elegantly with LINQ and lambdas. Can some please show me how?

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  • Search 2 Columns with 1 Input Field

    - by Norbert
    I have a db with two columns: first name and last name. The first name can have multiple words. Last name can contain hyphenated words. Is there a way to search both columns with only one input box? Database ID `First Name` `Last Name` 1 John Peter Doe 2 John Fubar 3 Michael Doe Search john peter returns id 1 john returns id 1,2 doe returns id 1,3 john doe returns id 1 peter john returns id 1 peter doe returns id 1 doe john returns id 1 I previously tried the following. Searching for John Doe: SELECT * FROM names WHERE ( `first` LIKE '%john%' OR `first` LIKE '%doe%' OR `last` LIKE '%john%' OR `last` LIKE '%doe%' ) which returns both 1 and 3

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  • Complex Entity Framework linked-graphs issue: how to limit change set / break the graph?

    - by Hightechrider
    I have an EDMX containing Sentences, and Words, say and a Sentence contains three Words, say. Appropriate FK relationships exist between the tables. I create some words: Word word1 = new Word(); Word word2 = ... I build a Sentence: Sentence x = new Sentence (word1, word2, word3); I build another Sentence: Sentence y = new Sentence (word1, word4, word5); I try to save x to the database, but EF builds a change set that includes everything, including y, word4 and word5 that aren't ready to save to the database. When SaveChanges() happens it throws an exception: Unable to determine the principal end of the ... relationship. Multiple added entities may have the same primary key. I think it does this because Word has an EntityCollection<Sentence> on it from the FK relationship between the two tables, and thus Sentence y is inextricably linked to Sentence x through word1. So I remove the Navigation Property Sentences from Word and try again. It still tries to put the entire graph into the change set. What suggestions do the Entity Framework experts have for ways to break this connection. Essentially what I want is a one-way mapping from Sentence to Word; I don't want an EntityCollection<Sentence> on Word and I don't want the object graph to get intertwined like this. Code sample: This puts two sentences into the database because Verb1 links them and EF explores the entire graph of existing objects and added objects when you do Add/SaveChanges. Word subject1 = new Word(){ Text = "Subject1"}; Word subject2 = new Word(){ Text = "Subject2"}; Word verb1 = new Word(){ Text = "Verb11"}; Word object1 = new Word(){ Text = "Object1"}; Word object2 = new Word(){ Text = "Object2"}; Sentence s1 = new Sentence(){Subject = subject1, Verb=verb1, Object=object1}; Sentence s2 = new Sentence(){Subject=subject2, Verb=verb1, Object=object2}; context.AddToSentences(s1); context.SaveChanges(); foreach (var s in context.Sentences) { Console.WriteLine(s.Subject + " " + s.Verb + " " + s.Object); }

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  • MVC best practice

    - by Patrick
    I'm new to MVC (i'm using codeigniter) and was wondering where I should put a "cut_description" function. My model retrieves a list of events including their description. If the description is too long, I would need to cut it after the first n words, and add a "read more" link, so the view doesn't get too cluttered. What would be the best practice? a) add the logic to cut after n words to the model; b) add the logic to the controller; c) add it to the view? I think C would be the easier (I have to loop through results anyway), but I'm not sure this would comply with MVC. What do you think?

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  • Exclude category from custom taxonomy output

    - by Nordin
    Hello, I'm using the query below to output all links from a custom taxonomy. It outputs all posts that are tagged 'http' from the taxonomy 'words'. I would like to exclude some general categories from the output. So, fe. it only outputs links in the media and news categories. What would be the best way to achieve this. $wp_query->request = " SELECT DISTINCT * FROM $wpdb->posts LEFT JOIN $wpdb->term_relationships ON($wpdb->posts.ID = $wpdb->term_relationships.object_id) LEFT JOIN $wpdb->term_taxonomy ON($wpdb->term_relationships.term_taxonomy_id = $wpdb->term_taxonomy.term_taxonomy_id) LEFT JOIN $wpdb->terms ON($wpdb->term_taxonomy.term_id = $wpdb->terms.term_id) WHERE $wpdb->posts.post_type = 'post' AND $wpdb->posts.post_status = 'publish' AND $wpdb->term_taxonomy.taxonomy = 'words' AND $wpdb->terms.slug = 'http' ORDER BY $wpdb->posts.post_date DESC LIMIT $ppp OFFSET $offset"; $pagelinkposts = $wpdb->get_results($wp_query->request, OBJECT);

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  • English dictionary as txt or xml file with support of synonyms

    - by Simon
    Can someone point me to where I can download English dictionary as a txt or xml file. I am building a simple app for myself and looking for something what I could start using immediately without learning complex API. Support for synonyms would be great, that is it should be easier to retrieve all the synonyms for particular word. It would be absolutely fantastic if dictionary would be listing British and American spelling of the words where they are differ. Even if it would be small dictionary (few 000's words) that's ok, I only need it for small project. I even would be willing to buy one if the price is reasonable, and dictionary is easy to use - simple xml wold be great. Any directions please.

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  • Simple NLP: How to use ngram to do word similarity?

    - by sadawd
    Dear Everyone, I Hear that google uses up to 7-grams for their own data. I am interested in finding words that are similar in context (i.e. cat and dog) and I was wondering how do I compute the similarity of two words on a n-gram model given that n 2. Given a sample set like this forexample: (I, love cats), (cats, loves, dogs), (dogs, hate, human) What is a good way to compare the similarity of this pair (I, cats)? Also does anyone know of anyway to do levels for NLP? like: Army-Military-Solider ?

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  • Animation in quartz 2D

    - by coure06
    I want to create an app which after each 1 second will show 4-5 words on screen but the last word will zoom out/in. I can easily create static words and for the last animating word i need to draw the static again n again. How can i create 2 separate layers so the static text is on one layer ( i will fill it after each second) and the last word (animated one) will be on other layer. How to create 2 separate layers? Attached on same screen but handling their drawRect method separately?

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  • ideas for algorithm? sorting a list randomly with emphasis on variety

    - by Steve Eisner
    I have a table of items with [ID,ATTR1,ATTR2,ATTR3]. I'd like to select about half of the items, but try to get a random result set that is NOT clustered. In other words, there's a fairly even spread of ATTR1 values, ATTR2 values, and ATTR3 values. This does NOT necessarily represent the data as a whole, in other words, the total table may be generally concentrated on certain attribute values, but I'd like to select a subset with more variety. The attributes are not inter-related, so there's not really a correlation between ATTR1 and ATTR2. Any ideas for an efficient algorithm? Thanks! I don't really even know how to search for this :)

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  • Fast word count function in Vim

    - by Greg Sexton
    I am trying to display a live word count in the vim statusline. I do this by setting my status line in my .vimrc and inserting a function into it. The idea of this function is to return the number of words in the current buffer. This number is then displayed on the status line. This should work nicely as the statusline is updated at just about every possible opportunity so the count will always remain 'live'. The problem is that the function I have currently defined is slow and so vim is obviously sluggish when it is used for all but the smallest files; due to this function being executed so frequently. In summary, does anyone have a clever trick for producing a function that is blazingly fast at calculating the number of words in the current buffer and returning the result?

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  • Dual-line bilingual paragraph in LaTeX

    - by D W
    An interlinear gloss can be used to layout a translation of a document. http://en.wikipedia.org/wiki/Interlinear_gloss Usually this is done word-by-word or morpheme-by-morpheme. However, I would like to do this in a different way, translating entire paragraphs at a time. http://www.optimnem.co.uk/learning/spanish/three-little-pigs.php For now I am not interested in taking into account the order of words or phrases that change order between languages. That is, I don't mind if the words in the paragraph are not aligned or if the length of one paragraph is much longer than the other, causing an overhanging line. As far as I can tell, the following packages do not meet my needs: covingtn.sty cgloss4e.sty gb4e.sty lingmacros.sty - shortex

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  • How to get width of a div in pixels using JQuery (IE)

    - by Casidiablo
    Hello there. At first glance it sounds easy... when using JQuery one can use the .width() method to retrieve the width of an element. The problem comes when the DIV element does not have its size in pixels but in words like 'auto' or 'inherit'. When I do this it works nice in Firefox and Chrome even if the size is specified in words: alert($('#id_div').css('width')); // these two sentences does not It returns something like: 96px. But, IE returns the word 'auto'. I need to know the size it has in pixels because I have to do some calculations with that number... so, I've been wondering how to solve this problem. How can I solve this issue? Thanks for reading.

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  • Delete records from table which matches the data in an array?

    - by Maxsy
    I have a table of 2 fields. Word and timestamp. Then i have this array which contains some words. How do i delete all the records in the table which match with the words in the array? Suppose that the model is called "Word". Any ideas on how to achieve this? maybe loop through the array and run some destroy queries. Can anybody direct me here? thanks

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  • Key word extraction in Python

    - by oliland
    I'm building a website in django that needs to extract key words from short (twitter-like) messages. I've looked at packages like topia.textextract and nltk - but both seem to be overkill for what I need to do. All I need to do is filter words like "and", "or", "not" while keeping nouns and verbs that aren't conjunctives or other parts of speech. Are there any "simpler" packages out there that can do this? EDIT: This needs to be done in near real-time on a production website, so using a keyword extraction service seems out of the question, based on their response times and request throttling.

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  • Preserve "long" spaces in PDFBox text extraction

    - by Thilo
    I am using PDFBox to extract text from PDF. The PDF has a tabular structure, which is quite simple and columns are also very widely spaced from each-other This works really well, except that all kinds of horizontal space gets converted into a single space character, so that I cannot tell columns apart anymore (space within words in a column looks just like space between columns). I appreciate that a general solution is very hard, but in this case the columns are really far apart so that having a simple differentiation between "long spaces" and "space between words" would be enough. Is there a way to tell PDFBox to turn horizontal whitespace of more then x inches into something other than a single space? A proportional approach (x inch become y spaces) would also work.

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  • Strategy to structure a search index in a relational database

    - by neilc
    I am interested in suggestions for building an efficient and robust structure for indexing products in a new database I am building (i'm using MySql) When a product is entered through the form there are three parts I am interested in indexing for searching purposes. The product title The product description Tags The most important is title, followed by tags, followed by the description. I was thinking of using the following structure CREATE TABLE `searchindex` ( `id` INT NOT NULL , `word` VARCHAR( 255 ) NOT NULL , `weighting` INT NOT NULL , `product_id` INT NOT NULL , PRIMARY KEY ( `id` ) ) Then each time a product is created I would split apart the title, description and tags (removing common words) and award them a weighting. Then it is trivial to select out the words and corresponding products and order them by weighting. Is there a better way to do this? I would be worried that this strategy would slow down over time and as the database filled up.

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  • Storing n-grams in database in < n number of tables.

    - by kurige
    If I was writing a piece of software that attempted to predict what word a user was going to type next using the two previous words the user had typed, I would create two tables. Like so: == 1-gram table == Token | NextWord | Frequency ------+----------+----------- "I" | "like" | 15 "I" | "hate" | 20 == 2-gram table == Token | NextWord | Frequency ---------+------------+----------- "I like" | "apples" | 8 "I like" | "tomatoes" | 12 "I hate" | "tomatoes" | 20 "I hate" | "apples" | 2 Following this example implimentation the user types "I" and the software, using the above database, predicts that the next word the user is going to type is "hate". If the user does type "hate" then the software will then predict that the next word the user is going to type is "tomatoes". However, this implimentation would require a table for each additional n-gram that I choose to take into account. If I decided that I wanted to take the 5 or 6 preceding words into account when predicting the next word, then I would need 5-6 tables, and an exponentially increase in space per n-gram. What would be the best way to represent this in only one or two tables, that has no upper-limit on the number of n-grams I can support?

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