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I have built a dictionary app containing about 210,000 definitions and examples from English WordNet https://github.com/globalwordnet/english-wordnet I have pre-processed their data files into 211,862 individual strings with word, definition and synonyms saved as lines in a single text file 24Mb in
link: 1) Building the index when the program starts will be too slow. You should instead build the index with B4J, serialize it with B4XSerializator and asy
link: 2) When the user click on one word (definition page will be popup similar to the picture): is it a good solution to load the information to a LabelEx
link: Thank you so much for your prompt reply, really appreciate. I wonder if you have more than 48 hours a day ;)

The reason for adding Yellow is that the L*a*b* is founded on the principle that human preception is along two continua: Red<->Green and Blue<->Yellow It also seems natural to make the mixture more or less Yellow in addition to more or less Red, Green, Blue, and Black. The dictionary icon on this

Sorry but it doesn't. The Chambers dictionary definition of 'last' is Last 1.Latest 2.Coming or remaining after all the others 3.Final 4.Immediately before the present 5.Utmost 6.Ending a series 7.Most unlikely, least to be preferred Note the ambiguity of meaning of (1) and (3) above. None of the

Take a look for some of these solutions https://www.b4x./?query=given+key+present Change your subject to: "given key was not present in the dictionary", that way more people can help you (si pones el asunto en español mucha gente no va a entenderlo)
link: Thanks. Done!
link: Hi, I formatted my computer. When I reinstall B4R get an error : "La clave proporcionada no se encontró en el diccionario". It occurs when I select ta
link: If you got the solution, please post what it was, that way you can help others. Change the subject with the prefix: " given key was not present in th

the definition of Compare to: 138371 So if the 2 strings are the same then it will return 0. Lexicographically means character by character, i believe.

https://tummosoft.files.wordpress.com/2018/07/banner.png?w=300&h=300 Dictionary application for Pali language. * TOP FEATURES 1. Find every word 2. Easy custom dictionary: Create and manage your personal dictionary 3. Learn something new: Word of the day with game and home widgets https://play
link: hi,do you need Mdict libary source for B4A ? or stardict source ? maybe we can change some code

Map is a collection that maps keys to values. It can also be named hashtable, dictionary or associative array. Each item is made of a key and value. Access to the value is always done through the key. Retrieving the key is a fast operation. The size of the map doesn't affect the performance (unlik

I'm trying to find a way of analysing the structure of words for my linguistics studies. For example I want to be able to analyse all words in French to see if they contains a given syllable. For this I need to be able to read the contents of a dictionary entry by entry. Has anyone any idea how I co
link: Thanks. What I am saying is that I need to access a language dictionary for example Oxford or Larousse (preferably bi-bilingual but mono-lingual woul
link: "Strange" question; better, few informations: do you have dictionaries? What type are they? Anyway, you should/could have a db with your dictionary/i
link: STARDICT dictionary also can used for store other information. it is very quickly,and can manage big data by very less memery.you can use 16M memery m

GetFilteredWords2(filtro As List, notfiltro As List) As List Returns a list of words using the specified filter. and excluding the words corresponding to the second filter Filter should include SQLite wildcards: % represents zero, one, or multiple numbers or characters; _ (underscore) repres
link: I offered a dictionary to LucaMs , He as he had asked for a dictionary

I am going to try it with various length strings (an English dictionary - 370,000 words) 1. I am going to create a list with 10,000 randomly chosen words (I'll set RndSeed to ensure repeatability) 2. Create 2 dataset: a) list of all words b) a B4XSet of all words 3. Time the process of lo

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