Natural Language Processing
Showing 36 of 392 projects
A Ruby natural language parser for recurring events that interprets expressions like 'every 2 days' or 'Sundays'.
Simple sentiment analysis for Elixir based on AFINN-165 with emoji, booster, and negator support.
A Python pipeline for multilingual text clustering using Latent Dirichlet Allocation with stop words removal, n-gram features, and inverse stemming.
A biomedical text corpus with 97 full-text articles annotated for concepts, coreferences, and structural elements.
A collection of Node-RED nodes to integrate IBM Watson AI services like speech, language, and conversation into applications.
Extract dates, times, emails, phone numbers, and other common patterns from text using pre-built regular expressions.
A Ruby gem for filtering stopwords from text with built-in support for multiple languages via Snowball lists.
A Docker-based speech recognition model that converts short English WAV audio files into text using Mozilla's DeepSpeech.
A Go package for n-gram based text categorization and language detection with UTF-8 support.
A rule-based Unicode tokenizer that separates words from punctuation and splits sentences for NLP preprocessing.
A natural language date and time parser for Common Lisp, inspired by Ruby's Chronic.
A flexible and general-purpose ngrams library written in Ruby, supporting various gram types, vocabulary models, and text analysis.
A Ruby wrapper for the spaCy NLP library via PyCall, enabling tokenization, POS tagging, NER, and OpenAI integration.
Go SDK for interacting with IBM Watson AI services, providing authentication, API clients, and utilities.
A Python library using NLP and AI to help psychologists and social scientists harmonize questionnaire items across different languages and formats.
A model-driven, rule-based natural language understanding system for high-precision information extraction at scale.
An Elixir natural language processor for tokenization, counting, and string similarity analysis.
A CCG parser implementing all combinators with parsing to logical form and parameter estimation for probabilistic CCG.
An AI-powered command-line interface for database management with natural language queries, SQL optimization, and diagnostic tools.
A Scala library for semantic parsing using Combinatory Categorial Grammar (CCG) to translate natural language into formal representations.
A Go implementation of the MMSEG Chinese word segmentation algorithm for text processing.
A TensorFlow wrapper library for character-level and word-level text generation using recurrent neural networks.
A Go library for detecting the natural language of unicode text, supporting over 60 languages.
A Go package for reading word2vec vectors and performing similarity searches and analogies.
A Julia package providing language detection, script detection, and linguistic word lists for multiple human languages.
A BERT-based model that detects six types of toxicity in text comments, deployable as a Docker container.
A Go port of VADER sentiment analysis for scoring text sentiment (positive, negative, neutral, compound).
A Go package providing English, German, and Dutch stemmers for natural language processing.
A text mining and natural language processing API for the Elixir programming language.
A pre-trained BERT-based model for detecting positive or negative sentiment in short text fragments.
A library for parsing, scheduling, and formatting repeating events from natural language expressions.
A natural language shell assistant that turns plain English prompts into executable shell commands with safety and explanation.
A fast and accurate rule-based sentence segmentation tool for Ruby that uses placeholder replacement.
A Playwright extension that validates web page appearance using natural language prompts instead of flaky CSS selectors.
Ruby FFI bindings for the Hunspell spell-checking library.
A Go library for inflecting Russian first names, middle names, and last names into grammatical cases.
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