Search Results for "sentence"
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61 projects for "sentence" with 1 filter applied:
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Papers We Love
Papers from the computer science community to read and discuss
Papers We Love (PWL) is a global open source community dedicated to reading, discussing, and sharing influential computer science research papers. The repository serves as a curated directory of academic papers that have shaped the field of computing, providing a centralized location for documents that were previously scattered across various online sources. While licensing restrictions prevent hosting all papers directly, PWL offers links to their original sources and clearly marks hosted... -
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Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a computationally efficient manner. -
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Text2Code for Jupyter notebook
A proof-of-concept jupyter extension which converts english queries
...The system uses natural language processing techniques to identify the intent of the query, extract relevant variables, and map the request to predefined code templates. Technologies such as sentence embeddings and named entity recognition are used to interpret user instructions and construct appropriate code outputs. -
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gTTS
Python library and CLI tool to interface with Google Translate
...It lets you send text to the Google Translate TTS endpoint and receive spoken audio back as MP3 data, either written to a file, a file-like object, or standard output. The library is designed to handle long texts, using a speech-specific sentence tokenizer that keeps intonation and punctuation natural while splitting requests into acceptable chunks. It supports customizable text pre-processors, which can correct pronunciations, tweak formatting, or handle domain-specific vocabulary before sending it to the API. gTTS is primarily aimed at developers who want a quick way to add cloud-backed speech to scripts, apps, or pipelines without managing any model weights locally. ... -
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VideoCaptioner
AI-powered tool for generating, optimizing, and translating subtitles
VideoCaptioner is an open source AI-powered subtitle processing tool designed to simplify the workflow of creating subtitles for videos. It integrates speech recognition, language processing, and translation technologies to automatically generate and refine subtitles from video or audio sources. VideoCaptioner uses speech-to-text engines such as Whisper variants to transcribe spoken content and convert it into subtitle text with accurate timestamps. After transcription, large language models... -
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model2Vec
Fast State-of-the-Art Static Embeddings
model2vec is an innovative embedding framework that converts large sentence transformer models into compact, high-speed static embedding models while preserving much of their semantic performance. The project focuses on dramatically reducing the computational cost of generating embeddings, achieving significant improvements in speed and model size without requiring large datasets for retraining. By using a distillation-based approach, it can produce lightweight models that run efficiently on CPUs, making it suitable for edge applications and large-scale processing pipelines. ... -
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Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically... -
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AutoTrain Advanced
Faster and easier training and deployments
...The project provides a no-code and low-code interface that allows users to train models using custom datasets without needing extensive expertise in machine learning engineering. It supports a wide range of tasks including text classification, sequence-to-sequence modeling, token classification, sentence embedding training, and large language model fine-tuning. The system integrates closely with the Hugging Face ecosystem and allows developers to train models using datasets hosted on the Hugging Face Hub. AutoTrain Advanced can run locally or in cloud environments, making it adaptable to different computational setups. By automating tasks such as model configuration, hyperparameter selection, and training pipelines, the project significantly reduces the technical barrier to building AI systems. -
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Then
Tame async code with battle-tested promises
...Because async code is hard to write, hard to read, hard to reason about. A pain to maintain. By using a then keyword that enables you to write aSync code that reads like an English sentence. Async code is now concise, flexible and maintainable. -
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Lingua
The most accurate natural language detection library for Java
Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. -
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English Grammar Notes
Learn English grammar from 0
English Grammar Notes is a community-driven learning resource project aimed at helping learners master English grammar from the ground up through clear explanations, practice examples, and progressive note structure that breaks down complex rules into accessible segments. The repository combines educational content written in simplified English and Chinese alongside structured markdown pages that cover parts of speech, sentence structure, tenses, clauses, and other core grammar topics, making it useful for both self-study and classroom contexts. It’s published and hosted as a static documentation site using VuePress, which allows learners to browse grammar lessons in a web-friendly format with easy navigation and search capabilities. Contributors within the INet community collaborate to expand and refine content, ensuring that explanations remain practical, up to date, and tailored for developers or learners who benefit from bilingual guidance. -
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XLM (Cross-lingual Language Model)
PyTorch original implementation of Cross-lingual Language Model
XLM (Cross-lingual Language Model) is a family of multilingual pretraining methods that align representations across languages to enable strong zero-shot transfer. It popularized objectives like Masked Language Modeling (MLM) across many languages and Translation Language Modeling (TLM) that jointly trains on parallel sentence pairs to tighten cross-lingual alignment. Using a shared subword vocabulary, XLM learns language-agnostic features that work well for classification and sequence labeling tasks such as XNLI, NER, and POS without target-language supervision. The repository provides preprocessing pipelines, training code, and fine-tuning scripts so you can reproduce benchmark results or adapt models to your own multilingual corpora. ... -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
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LibreGrammar (LanguageTool fork)
Free and open-source style and grammar editor
This is a free and open-source style and grammar checker forked from Languagetool. This project intends to be a full-blown software editor for French, English, German, Spanish, Portuguese and many other languages that enhances LanguageTool with extended rules — with emphasis on style rules —, and enables many rules disabled by default on LanguageTool project. Other changes include lower reliance on online mechanisms and extra languages. --- Este é um verificador de gramática e... -
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concordia
Powerful search library, best suited for computer-aided translation
...The effects are stunning - Concordia is able to do simple substring lookup at the pace of 5000 queries per second (on personal PC) - a speed which can not be achieved by any other search library. Moreover, Concordia can perform its own "concordia search". For a given input sentece, all substring matches covering this sentence are retrieved. This project now contains fully functional Concordia search library. In the near future, it will be extended by concordia-server: ligthweight, robust web server providing corpora search functionalities -
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QJDicExample
QJDicExample is an English <-> Japanese dictionary.
QJDicExample is an Japanese to English and English to Japanese dictionary featuring words/names/kanji/sentences search. QJDicExample uses JMdict, JMnedict, Kanjidic2, Radkfilex, KanjiVG, Tanaka Corpus / Tatoeba databases for translations and zinnia recognition library for handwritten kanji recognition. Latest source code: git clone git://git.code.sf.net/p/qjdicexample/code qjdicexample-code -
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. The project includes scripts for training, evaluation, and data handling, making it easy to run experiments on datasets such as movie reviews or other labeled text collections. ... -
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TextTeaser
TextTeaser is an automatic summarization algorithm
...It extracts the most important sentences from an article to generate concise summaries that retain the core meaning of the original text. The algorithm uses features such as sentence length, keyword frequency, and position within the document to determine which sentences are most relevant. By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative. Originally inspired by research and earlier implementations, textteaser provides a lightweight solution for summarization without requiring heavy machine learning models. ... -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ... -
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AlQuraan
Quran search software
This software is main objective is to give the possibility to the end-user to query the Quran file to find some verse or word and to display it with the desired translation. There is actually 80 translations. You can either download the Full Version with all the translations include or the Minimal Version with only English and French translation then download other translation file of your choice. -
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Text Analyzer
Text analyzing software
An application developed in C using the list and the AVL tree data structures, which analyzes a text (.txt file) giving the following information as an output: 1. the total occurrences of every word in the text 2. the exact line of every occurrence of every word 3. the exact position in the line of every occurrence of every word 4. the exact paragraph of every occurrence of every word 5. the exact sentence of every occurrence of every word The output is also written in a .txt file in the same directory as the Text Analyzer executable file. -
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cipra Unit Testing Framework
C++11 unit testing framework based on Perl's Test::More module.
...The name cipra (pronounced /ˈʃi.pɾaː/ "SHEE-prah") comes from the lojban phrase "lo cipra", which means "the test". It is properly written with an initial minuscule 'c', even when at the start of a sentence. -
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The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
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Consilium Sentence Suggestions Tools
Consilium – User Defined sentence Suggestion Tool.
There are many tools available in market which will provide spell correction or grammer correction while making documents, but very few tools are available which are providing sentence completion according to previously entered text. But this all are providing sentence complition suggestion for sentences which are oftenly or regularly used by all people in same manner. But in reality style of writing changes person to person. While our aim is to provide a sentence suggestion tool which will give suggestion to complete the sentence according previously enterd data by the user. ... -
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innocence-java
Replace text with POS equivalent text, in a reversible fashion.
Program takes (currently) english text sentences, and replaces each word in a given sentence with another word having the same Part of Speach (POS) tag. This creates a new sentence containing none of the original words. This new sentence can then be transmitted to a remote user, and using the same software, "de-crypted" into yielding the original sentence. The software relies on having a known "seed" value for the random number generator, which is known only by the sender and receiver. ...
