text-segmentation

I remember skimming the sentence segmentation section from the NLTK site a long time ago. I use a crude text replacement of “period” “space” with “period” “manual line break” to achieve sentence segmentation, such as with a Microsoft Word replacement ( . -> .^p ) or a Chrome extension: https://github.com/AhmadHassanAwan/Sentence-Segmentation https://chrome.google.com/webstore/detail/sentence-segmenter/jfbhkblbhhigbgdnijncccdndhbflcha This is instead of an NLP method like the Punkt tokenizer of NLTK. I segment to help me more easily locate and reread sentences, which can sometimes help with

I want to solve word splitting problem (parse words from long string with no spaces). For examle we want extract words from somelongword to [some, long, word] . We can achieve this by some dynamic approach with dictionary, but another issue we encounter is parsing ambiguity. I.e. orcore => or core or orc ore (We don't take into account phrase meaning or part of speech). So i think about usage of some statistical or ML approach. I found that Naive Bayes and Viterbi algorithm with train set can be used for solving this. Can you point me some information about application of these algorithms to

I am looking for a regex that matches first word in a sentence excluding punctuation and white space. For example: "This" in "This is a sentence." and "First" in "First, I would like to say \"Hello!\"" This doesn't work: """([A-Z].*?(?=^[A-Za-z]))""".r (?:^|(?:[.!?]\s))(\w+) Will match the first word in every sentence. http://rubular.com/r/rJtPbvUEwx [a-z]+ This should be enough as it will get the first a-z characters (assuming case-insensitive). In case it doesn't work, you could try [a-z]+\b , or even ^[a-z]\b , but the last one assumes that the string starts with the word. You can use this

Complete Segmentation code: % Preprocessing + Segmentation % // Original Code of Segmentation by Soumyadeep Sinha with several modification by Ana// % Saving each single segmented character as one file function [s] = seg (a) myFolder = 'D:\1. Thesis FINISH!!!\Simulasi I\Segmented Images'; % a = imread ('adv1.png'); % Binarization % level = graythresh (a); b = im2bw (a, level); % Complement % c = imcomplement (b); % Morphological Operation - Dilation % se = strel ('square', 1); % se = strel('rectangle', [1 2]); r = imerode(c, se); i=padarray(r,[0 10]); % i=padarray(c,[0 10]); % Morphological

Is there any available library for word-counting of some hieroglyphics language (ex: chinese, japanese, korean...)? I found that MS Word count effectively texts in these languages. Can I add reference to MS Word libraries in my .NET application to implement this function? Or is there any other solutions to achieve this purpose? s there any available library for word-counting of some hieroglyphics language (ex: chinese, japanese, korean...)? Hieroglyphics ? No, they're not. They're logographic characters and it's not so subtle difference. I'm sure some native speaker may explain this much

I am working on a solution to split long lines of Khmer (the Cambodian language) into individual words (in UTF-8). Khmer does not use spaces between words. There are a few solutions out there, but they are far from adequate ( here and here ), and those projects have fallen by the wayside. Here is a sample line of Khmer that needs to be split (they can be longer than this): ចូរសរសើរដល់ទ្រង់ដែលទ្រង់បានប្រទានការទាំងអស់នោះមកដល់រូបអ្នកដោយព្រោះអង្គព្រះយេស៊ូវ ហើយដែលអ្នកមិនអាចរកការទាំងអស់នោះដោយសារការប្រព្រឹត្តរបស់អ្នកឡើយ។ The goal of creating a viable solution that splits Khmer words is twofold: it