Search Results for "text processing" - Page 17
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Showing 1568 open source projects for "text processing"
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Text Hex Convert v2.1.1
THC - Convert Hex, or String with ease!
A tool for converting hex values with ease! Download now, and you wont get your head hurt again. This tool converts Text values to Hex values, and vice-versa. Written in VB.NET. Created solely for aiding ROM Hacking at first, but became rather an important tool. Source Code: https://sourceforge.net/u/kakarot1212/profile/ -
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prose NLP
Golang library for text processing
Prose is a natural language processing library for Go, designed for text analysis tasks like tokenization, named entity recognition, and dependency parsing. -
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Synonyms
Chinese synonyms, chat robot, intelligent question and answer toolkit
Chinese Synonyms for natural language processing and understanding. Better Chinese synonyms, chatbot, intelligent question and answer toolkit. synonymsCan be used for many tasks in natural language understanding, text alignment, recommendation algorithms, similarity calculation, semantic shifting, keyword extraction, concept extraction, automatic summarization, search engines, etc. -
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Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
Parsr is an open-source document parsing tool that converts PDFs, scanned images, and other structured documents into structured, machine-readable data formats. -
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MyDiary1000
Its A Diary/TextEditor that encrypts your text data using images
This is a diary that allows you to digitally write entries and view them. What makes this a masterpiece from its counterparts is how user data is created and abstracted. User data is protected and stored in PNG images, the image it self is not encrypted but the data inside the image is encrypted. If you open any one of the created PNG images, they look like blank images!. These "normal" looking images protect your information from prying eyes. The simplicity and elegance of my program... -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
...Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). Trainer provides a variety of built-in Callback functions to facilitate experiment recording, exception capture, etc. Automatic download of some datasets and pre-trained models. -
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htmleditor.py
A Python based HTML and CSS Editor
Requires PyQt >= 5.2 QsciScintilla >= 2.8 Python >=3.4 -
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Blackfriday
Blackfriday, a markdown processor for Go
Blackfriday is a Markdown processor implemented in Go. It is paranoid about its input (so you can safely feed it user-supplied data), it is fast, it supports common extensions (tables, smart punctuation substitutions, etc.), and it is safe for all utf-8 (unicode) input. HTML output is currently supported, along with Smartypants extensions. It started as a translation from C of Sundown. Blackfriday itself does nothing to protect against malicious content. If you are dealing with user-supplied... -
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CC-Net
Tools to download and cleanup Common Crawl data
cc_net provides tools to download, segment, clean, and filter Common Crawl to build large-scale text corpora, including monolingual datasets and the multilingual CC-100 collection introduced in the associated paper. It includes pipelines to fetch snapshots, extract text, de-duplicate, identify language, and apply quality filtering based on heuristics and language models. The outputs are intended for pretraining language models and for creating standardized corpora that can be reproduced or... -
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QVASIMODO's String Tools
This project is a quick way of applying macros to a portion of text.
This project is basically a quick way of applying macros, i.e., sequences of editing commands, to a portion of text. You create a "ruleset", which is basically a sequence of "rules" to be sequentially applied to the source text. The original text is entered in the top left box, while the result appears in the top right box. Program configuration is stored in a sqlite file in a '.panglossa' directory in the user's home folder. Remember that the "rules", or commands, will be... -
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up
A tool for writing Linux pipes with instant live preview
...The main goal of the Ultimate Plumber is to help interactively and incrementally explore textual data in Linux, by making it easier to quickly build complex pipelines, thanks to a fast feedback loop. This is achieved by boosting any typical Linux text-processing utils such as grep, sort, cut, paste, awk, wc, perl, etc., etc., by providing a quick, interactive, scrollable preview of their results. To start using up, redirect any text-emitting command (or pipeline) into it. Use PgUp/PgDn and Ctrl-[←]/Ctrl-[→] for basic browsing through the command output. In the input box at the top of the screen, start writing any bash pipeline; then press Enter to execute the command you typed, and the Ultimate Plumber will immediately show you the output of the pipeline in the scrollable window. -
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NLP.js
An NLP library for building bots
...Sentiment Analysis for phrases (with negation support). Named Entity Recognition and management, multi-language support, and acceptance of similar strings, so the introduced text does not need to be exact. Natural Language Processing Classifier, to classify an utterance into intents. NLP Manager, a tool able to manage several languages, the Named Entities for each language, the utterances, and intents for the training of the classifier, and for a given utterance return the entity extraction, the intent classification and the sentiment analysis. -
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Flat file extractor can be used for reading and parsing different flat file structures and printing them in different formats. ffe is a command line tool developed in GNU/Linux environment and it is distributed under GPL. Project moved to https://github.com/igitur/ffe
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Pure Bash Bible
A collection of pure bash alternatives to external processes
...Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. By relying exclusively on Bash built-ins, these methods can make scripts faster, more portable, and easier to maintain. Every snippet is linted with shellcheck, and many have accompanying tests, ensuring correctness and usability. The project is not only a coding resource but also an educational tool for Bash users who want to better understand the full power of the language. -
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Search and replace operations on file content accross multiple files. Recursive operations within entire directory trees. FAR comes with support for regular expressions (regex) over multiple lines, automatic backup and various character encodings. Run grep like extractions to condense or rearrange sources, or perform bulk file renaming.
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CSVfix
Command-line tool specifically designed to deal with CSV data
...Unfortunately, the CSV files you are given, or are required to produce, never seem to be in quite the right format for your particular business application. And because of the structure of CSV records, using standard text processing tools like sed, awk and perl is not as simple as it might be. Usage: http://csvfix.byethost5.com/csvfix15/csvfix.html?csvfix.html?Usage.html?i=1&i=2 CSVfix aims to provide a solution to these problems. It is a command-line stream editor specifically designed to deal with CSV data. With it you can, among other things: -
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GluonNLP
NLP made easy
GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training embeddings on custom datasets. ... -
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DeText
A Deep Neural Text Understanding Framework
DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. -
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A collection of small utilities for: data extraction (text or binary files), data buffering, message queue control, column addition, date/time manipulation, and data recovery testing.
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NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP
NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional models for text processing, and transformer-style attention mechanisms. ... -
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Leseratte is a Java parser for German written language. Currently, it contains a German lexicon (based on the Wiktionary), inflexion rules, a grammar and a parser. (Semantics component planned.) Usable as a Java library, also provides a graphical UI.
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agent99
Passive network monitor.
agent99 watches your network and generates a stream of events from the traffic it sees. Processing of the events is the job of other software, but some of it is immediately useful. It can log clear text usernames and passwords if it sees them. -
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Delta ML
Deep learning based natural language and speech processing platform
...It helps you to train, develop, and deploy NLP and/or speech models. Use configuration files to easily tune parameters and network structures. What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph. Text classification, named entity recognition, question and answering, text summarization, etc. Uniform I/O interfaces and no changes for new models.
