Showing 472 open source projects for "python text parser"

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  • 1
    Spirit
    Spirit, a different way to write! You guide your mouse through streams of predicted words. As the intelligent agent learns your writing style, its predictions become more accurate. You can prime Spirit with the prose and poetry of any author!
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  • 2
    Simple Document management software written in PHP for linux-operating-systems supporting Bank-Account-Linking and OCR
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  • 3
    A program for school children to practice mental calculation. The output can be text or spoken using text to speech.
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  • 4
    OpenDMAP (Open Source Direct Memory Access Parser) is a natural language processing (text mining) application: a semantic parser for information extraction.
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  • 5
    Pylero
    Pylero is an open-source Python-based text generator.
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  • 6
    Provides a GUI interface to grammatical structure and relations (as parsed by the Stanford Parser) of any text. Contains grammatical relation editor to modify, import, export grammatical relation definitions (tregex patterns and features).
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  • 7
    MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system
    Downloads: 1 This Week
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  • 8
    iDocs is a intellectual document work flow with text mining options project.
    Downloads: 0 This Week
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  • 9
    SwiRL is a Semantic Role Labeling (SRL) system for English constructed on top of full syntactic analysis of text.
    Downloads: 0 This Week
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  • 10
    Voice Conference Manager uses VoiceXML and CCXML to control speech recognition, text to speech, and voice biometrics for a telephone conference service. Say the names or numbers of people and VCM places them into the call. Can be hosted on public servers
    Downloads: 0 This Week
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  • 11
    Software to fit whole-sentence language models using the principle of maximum entropy. For developers of speech recognizers, text prediction interfaces, OCR, machine translation software.
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  • 12
    is a natural language understanding program written in Python. It includes an English language parser, an English dictionary tagged with parts of speech and including phrasal verbs and common first names, a spelling corrector, and an indexed file module
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  • 13
    FramerD is a distributed semi-structured object database originally developed at MIT. It provides an internationalized Scheme-based scripting language, built-in text analysis tools, and special support for web scripting.
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  • 14
    The tre project is simply the author\'s attempt at mimicking artificial intelligence, using a home-made HTTP daemon and simple text recognition.
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  • 15
    Story Talker is a GUI frontend to the Festival Text-to-speech Synthesis engine. It is designed for speaking long plain text or HTML files, such as e-books and web articles. It is not a screen reader for the blind. (Python, wxPython)
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  • 16
    OpenOCR will be a commercial quality ocr engine with tools for pre- and post-processing of images and resulting text.
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  • 17
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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  • 18
    JFIPA is intended to be a scalable, easy-to-deploy router and parser of messages between agents using the FIPA Agent Communication Language represented as XML
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  • 19
    Dia-1.6B

    Dia-1.6B

    Dia-1.6B generates lifelike English dialogue and vocal expressions

    Dia-1.6B is a 1.6 billion parameter text-to-speech model by Nari Labs that generates high-fidelity dialogue directly from transcripts. Designed for realistic vocal performance, Dia supports expressive features like emotion, tone control, and non-verbal cues such as laughter, coughing, or sighs. The model accepts speaker conditioning through audio prompts, allowing limited voice cloning and speaker consistency across generations.
    Downloads: 0 This Week
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  • 20
    mms-300m-1130-forced-aligner

    mms-300m-1130-forced-aligner

    CTC-based forced aligner for audio-text in 158 languages

    mms-300m-1130-forced-aligner is a multilingual forced alignment model based on Meta’s MMS-300M wav2vec2 checkpoint, adapted for Hugging Face’s Transformers library. It supports forced alignment between audio and corresponding text across 158 languages, offering broad multilingual coverage. The model enables accurate word- or phoneme-level timestamping using Connectionist Temporal Classification (CTC) emissions. Unlike other tools, it provides significant memory efficiency compared to the TorchAudio forced alignment API. Users can integrate it easily through the Python package ctc-forced-aligner, and it supports GPU acceleration via PyTorch. ...
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  • 21
    hexabot

    hexabot

    Hexabot is an open-source AI chatbot / agent builder.

    Hexabot is an open-source AI chatbot / agent solution. It allows you to create and manage multi-channel, and multilingual chatbots / agents with ease. Hexabot is designed for flexibility and customization, offering powerful text-to-action capabilities. Originally a closed-source project (version 1), we've now open-sourced version 2 to contribute to the community and enable developers to customize and extend the platform with extensions.
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  • 22
    OpenVLA 7B

    OpenVLA 7B

    Vision-language-action model for robot control via images and text

    OpenVLA 7B is a multimodal vision-language-action model trained on 970,000 robot manipulation episodes from the Open X-Embodiment dataset. It takes camera images and natural language instructions as input and outputs normalized 7-DoF robot actions, enabling control of multiple robot types across various domains. Built on top of LLaMA-2 and DINOv2/SigLIP visual backbones, it allows both zero-shot inference for known robot setups and parameter-efficient fine-tuning for new domains. The model...
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