Search Results for "text processing" - Page 17
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Showing 1237 open source projects for "text processing"
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XSLT syntax highlighting
Java based XSLT Processor extension for syntax highlighting
Please note that project moved to GitHub: https://github.com/xmlark/xslthl This is an implementation of syntax highlighting as an extension module for XSLT processors (Xalan, Saxon), so if you have e.g. article about programming written in DocBook, code examples can be automatically syntax highlighted during the XSLT processing phase. -
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KSUCCA Corpus
A 50 million tokens corpus of Classical Arabic.
King Saud University Corpus of Classical Arabic (KSUCCA) is a pioneering 50 million tokens annotated corpus of Classical Arabic texts from the period of pre-Islamic era until the fourth Hijri century (equivalent to the period from the seventh until early eleventh century CE), which is the period of pure classical Arabic. The main aim of this corpus is to be used for studying the distributional lexical semantics of The Quran words. However, it can be used for other research purposes, such... -
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Texar
Toolkit for Machine Learning, Natural Language Processing
Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides a library of easy-to-use ML modules and functionalities for composing whatever models and algorithms. The tool is designed for both researchers and practitioners for fast prototyping and experimentation. Texar was originally developed and is actively contributed by Petuum and CMU in collaboration with other institutes. -
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gpt2-client
Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, etc.
GPT-2 is a Natural Language Processing model developed by OpenAI for text generation. It is the successor to the GPT (Generative Pre-trained Transformer) model trained on 40GB of text from the internet. It features a Transformer model that was brought to light by the Attention Is All You Need paper in 2017. The model has 4 versions - 124M, 345M, 774M, and 1558M - that differ in terms of the amount of training data fed to it and the number of parameters they contain. ... -
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Budou
Budou is an auto organizer tool for beautiful line breaking in CJK
Budou is a Python library developed by Google to improve web typography for CJK (Chinese, Japanese, Korean) languages by producing semantically meaningful line breaks. Unlike English, CJK scripts lack spaces or hyphenation cues, often resulting in awkward or unreadable text wrapping on web pages. Budou addresses this issue by segmenting sentences into logical lexical chunks and wrapping each chunk in non-breaking HTML <span> tags. These spans can be styled with CSS to ensure smooth, visually coherent line breaks without splitting words or phrases. The tool supports multiple segmentation backends, including Google Cloud Natural Language API, MeCab, and TinySegmenter, enabling flexibility for both cloud-based and offline processing. ... -
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MatchZoo
Facilitating the design, comparison and sharing of deep text models
The goal of MatchZoo is to provide a high-quality codebase for deep text matching research, such as document retrieval, question answering, conversational response ranking, and paraphrase identification. With the unified data processing pipeline, simplified model configuration and automatic hyper-parameters tunning features equipped, MatchZoo is flexible and easy to use. Preprocess your input data in three lines of code, keep track parameters to be passed into the model. ... -
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A collection of S-Lang extension scripts (modes) for the Jed text editor, contributed by Jed users. Browse the repository at http://jedmodes.sf.net/
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AhoTTS Multilingual, a Multilingual TTS
Text-to-Speech TTS for Basque, Spanish, Catalan, Galician and English
Text-to-Speech conversor for Basque, Spanish, Catalan, Galician and English. It includes linguistic processing and built voices for all the languages aforementioned. Its acoustic engine is based on hts_engine and it uses a high quality vocoder called AhoCoder. Developed by Aholab Signal Processing Laboratory: https://aholab.ehu.es/aholab/ http://aholab.ehu.es/ahocoder/ -
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artext
Probabilistic Noising of Natural Language
Artext is a work on injecting noise into text without affecting the core meaning for a human reader. This kind of data can be useful for many NLP tasks, particulary to make models robust to erroneous text. This is a work in progress, and we will publish the results of our experiments soon. Meanwhile, if you use artext in your research please cite this repository. Github: https://github.com/nlpcl-lab/artext -
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FalaBrasil
Resources for speech processing in Brazilian Portuguese
The FalaBrasil Group provides free tools and resources for speech and natural language processing in Brazilian Portuguese, most of them under the BSD license. Tools include mainly scripts to do all sort of things with audio and text, whereas resources include ready-to-used acoustic and languages models, phonetic dictionaries, etc. -
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Command-Line Text Processing
From finding text to search and replace
Command-line-text-processing is a curated educational repository providing many examples and tutorials on how to use various command-line tools for processing text: searching, replacing, sorting, transforming, filtering, etc. It covers tools like grep, sed, awk, perl, Ruby one-liners, file attribute commands, sorting, tail/head/less/cat, and many more. -
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nonechucks
Deal with bad samples in your dataset dynamically
...What if you have a dataset of 1000s of images, out of which a few dozen images are unreadable because the image files are corrupted? Or what if your dataset is a folder full of scanned PDFs that you have to OCRize, and then run a language detector on the resulting text, because you want only the ones that are in English? Or maybe you have an AlternateIndexSampler, and you want to be able to move to dataset[6] after dataset[4] fails while attempting to load! PyTorch's data processing module expects you to rid your dataset of any unwanted or invalid samples before you feed them into its pipeline, and provides no easy way to define a "fallback policy" in case such samples are encountered during dataset iteration. -
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YouTubeCrawler
Go-based automation utility that downloads YouTube videos
This tool is a Go-based automation utility that downloads YouTube videos and permanently embeds or “hard-codes” their subtitles (typically English) into MP4 output files. The workflow involves specifying one or more URLs (via a simple “url” text file in each folder) and the program uses youtube-dl to fetch video and subtitle, then ffmpeg to overlay the subtitles onto the video track. The architecture follows a command-pattern setup: tasks implement a common interface and are scheduled and... -
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bsed
Simple SQL-like syntax on top of Perl text processing
bsed is a stream editor that offers a simple SQL-like syntax for text processing tasks. Designed to replace basic uses of tools like sed, grep, AWK, and Perl, it allows users to perform complex text manipulations with intuitive commands. -
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Pgn2ltx is a simple converter that reads chess games in PGN format and outputs them to a LaTeX input file.
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ChessTask is a frontend for easily creating chess tasks with LaTeX. The tasks are stored in a list which can be exported, either to a LaTeX input file, or to HTML files.
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Fen2eps is a small console program that converts FEN (Forsyth Edwards Notation) strings to EPS (Encapsulated Postscript) files containing the chess board diagram.
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Duckling (Old)
Clojure library that parses text into structured data
Duckling (the “old” archived version) is a natural language processing library (in Clojure) for parsing text to structured data — specifically, recognizing quantities such as dates, times, durations, measurements, currencies, etc., from free-form text. To use Duckling in your project, you just need two functions: load! to load the default configuration, and parse to parse a string. Duckling is a Clojure library that parses text into structured data. -
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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Web Book Downloader
Download websites as e-book: pdf, txt, epub.
This application allows user to download chapters from website in 3 ways: - from table of contents; - from range: first chapter address, last chapter address; - by crawling from first chapter to n; In settings you can customize language, input(website encoding) for simplicity output is in the same encoding. If you want your language add new class into strings package, and new fields into Settings class and GUI menu(initialize method). -
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Common Litt
Simple java script library for auto literation, input tool.
This project focuses of auto conversion in between language alphabets. Using this 'lit.js' library currently you can done conversion in between English - Tamil - Sinhala scrpits vise-versa. This is use full when you need to know how write something in an other given language. This is still at development stage but works purfectly and easy to customize as well. Live demo available at: http://commonlitt.42web.io/ For UI creations I had used Bootstrap and Jquery. For easy array... -
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lazynlp
Library to scrape and clean web pages to create massive datasets
LazyNLP is a lightweight tool for collecting and curating large-scale text datasets for machine learning and NLP applications with minimal manual effort. -
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NeuroNER
Named-entity recognition using neural networks
Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. ... -
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TextRank
TextRank implementation for Python 3
TextRank is an implementation of the TextRank algorithm for extractive text summarization and keyword extraction, inspired by Google’s PageRank. -
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ChemFormatter is add-in program for Microsoft Office. ChemFormatter automatically applies font styles in a chemical document.
