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eloomi is an eLearning solution for your workplace to train, retain and engage employees.
eloomi combines Learning Management (LMS), Onboarding, Authoring, and continuous Performance Management tools in a cloud-based solution. It allows companies to optimize skill training, onboarding and employee development with strong user experience to enhance productivity and employee satisfaction. As a white label solution, the platform can be customized to mirror a company's branding and logo.
WNLT is a suite of open source natural language modules for the Welsh
The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules;
a) Word Segmentation for separating text into words
b) Sentence Boundary Disambiguation for finding sentence boundaries
c) Part of Speech Tagger for determining the part of speech of each word
d) Morphological Analyser for identifying the root form (lemma) of words...
Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
DSProcessing is a group of Csharp libraries destiny to evolution (on-line and off-line) DSP .NET sowtware on PC. Applications (for instance): ECG, EEG processing, speechprocessing and other.
JTextPro: A Java-based Text Processing tool that includes sentence boundary detection (using maximum entropy classifier), word tokenization (following Penn conventions), part-of-speech tagging (using CRFTagger), and phrase chunking (using CRFChunker).
With over 53 social login options, you can fast-track the signup and login experience for users.
From improving customer experience through seamless sign-on to making MFA as easy as a click of a button – your login box must find the right balance between user convenience, privacy and security.
AutoSummary uses Natural Language Processing to generate a contextually-relevant synopsis of plain text. It uses statistical and rule-based methods for part-of-speech tagging, word sense disambiguation, sentence deconstruction and semantic analysis.
A set of classes for Natural Language Processing in PHP for:
1. Part of speech Tagging - Brill, n-gram, HMM
2. Princeton Wordnet querying and access
3. Document summarization
4. Document classification - EM, Bayes
5. Stemming - Porter, Lancaster