How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/ghnymzPF #mymetric360
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How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/gfYjgzeb #mymetric360
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How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/gc_ngDit #mymetric360
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How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/gTWRq5Kj #mymetric360
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How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/g7zcyiDm #mymetric360
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How to Efficiently Detect English Words in Text with Regex? #TextAnalysis #StringMatching #Regex #DictionarySearch Do you find detecting English words inside a text using a dictionary too slow when the word isn't an exact match? 🤔 Let's brainstorm some solutions together! Here are my thoughts: - Split the text into words and check for exact matches in the English dictionary for O(1) operations. - Consider using an algorithm for string similarity to tac... Source: https://lnkd.in/gea5t5mz #mymetric360
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FUnLogMatic can make writing regular expressions (RegEx) easier with its realtime regex designer, simple cut and paste an example of text you want to parse. Then as you type your RegEx you will get instant syntax error messages, and see what the match would look like and any capture groups you've defined.
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FUnLogMatic can make writing regular expressions (RegEx) easier with its realtime regex designer. Simply cut and paste an example of the text you want to parse. Then as you type your RegEx, you will get instant syntax error messages, and see what the match would look like along with highlights of any capture groups you've defined.
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Regex Cheatsheet with Examples * Read and write Regex faster! * Get to know the most useful syntax * Side-by-side explanation with an example https://lnkd.in/d6HeSfMX #Regex #RegularExpression #RegexCheatsheet #PatternMatching #Regexp
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Like everyone, Regex is my favourite syntax. I use it everyday so I rarely have to use documentation... Still the team told me I'm a freak so we thought we'd build this Regex resource to: 1. Help people who aren't blessed to use Regex everyday 2. How clearly data and code can be communicated in a canvas
We've heard rumors that some people can rattle off regex syntax off the top of their heads... For mere mortals like us, we've built this regex one-pager to help you find exactly the right sequence of characters you need when you need them. Link to the live canvas in the comments 👇
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AI Trainer, Public Speaker, English-Spanish Translator, Conference Interpreter, Blogger Email: [email protected]
As translators, we often encounter the option for Regex in our CAT tools. But what does it mean, and how can it help us? Let’s look at a quick example I was using a few minutes ago: ^\d. In the image that accompanies this post, the checkbox labeled "Regex" is selected, and ^\d is entered in the input field. This might seem complex, but it’s actually quite straightforward. Here’s the breakdown: ^: Indicates the start of a line. \d: Matches any single digit (0-9). Together, ^\d means: 👉 "Find all segments that start with a number." Why is this useful? ✨ Filtering segments: Quickly filter segments starting with numbers, perfect for technical documents, for example. ✨ Finding specific patterns: Quickly find parts of your text that match a pattern, not a specific word, phrase or string. Regex can initially seem daunting, but it's a powerful tool for enhancing our efficiency in CAT tools. Understanding simple expressions like ^\d can significantly improve our text handling capabilities. Do you use regex? #regex #CATtools
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