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  • 1
    amazon-connect-wisdomjs

    amazon-connect-wisdomjs

    Gives you the power to build your own Wisdom widget

    Amazon Connect Wisdom, a feature of Amazon Connect, delivers agents the information they need, reducing the time spent searching for answers. Today, knowledge articles, wikis, and FAQs are spread across separate repositories. Agents lose a lot of time trying to navigate all those different sources of information, and in the meantime, the customer waits for an answer. Amazon Connect Wisdom connects relevant knowledge repositories with built-in connectors for third-party applications like...
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  • 2
    OpenNN - Open Neural Networks Library

    OpenNN - Open Neural Networks Library

    Machine learning algorithms for advanced analytics

    ...The main advantage of OpenNN is its high performance. This library outstands in terms of execution speed and memory allocation. It is constantly optimized and parallelized in order to maximize its efficiency. The documentation is composed by tutorials and examples to offer a complete overview about the library. OpenNN is developed by Artelnics, a company specialized in artificial intelligence.
    Downloads: 5 This Week
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  • 3
    Emb-GAM

    Emb-GAM

    An interpretable and efficient predictor using pre-trained models

    Deep learning models have achieved impressive prediction performance but often sacrifice interpretability, a critical consideration in high-stakes domains such as healthcare or policymaking. In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for...
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  • 4
    MTBook

    MTBook

    Machine Translation: Foundations and Models

    ...Its content is compiled into a book, which can be used for the study of senior undergraduates and graduate students in computer and artificial intelligence related majors, and can also be used as reference material for researchers related to natural language processing, especially machine translation. This book is written in tex, and all source codes are open. This book is divided into four parts, each of which consists of several chapters. The order of the chapters refers to the time context of the development of machine translation technology, while taking into account the internal logic of the machine translation knowledge system.
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  • 5
    Phrasal

    Phrasal

    Statistical phrase-based machine translation system

    Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java. At its core, it provides much the same functionality as the core of Moses. Distinctive features include: providing an easy to use API for implementing new decoding model features, the ability to translating using phrases that include gaps (Galley et al. 2010), and conditional extraction of phrase-tables and lexical reordering models. Developed by The Natural Language Processing Group...
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  • 6
    ...The name of the portals are as follows: 1. http://dosyalar.hurriyet.com.tr/rss. 2. http://www.posta.com.tr/rss. 3. http://www.iha.com.tr/rss.html. 4. http://www.haberturk.com/rss. 5. http://www.radikal.com.tr/rss/. 6. http://www.zaman.com.tr/rss_rssMainPage.action?sectionId=341. This data set is created in order to perform text mining operations on Turkish and make experimental results re-producable. The TTC-3600 data set has 4 different forms in terms of pre-processing: 1. Original: No pre-processing step is applied. 2. FPS-5: The first five characters of terms are selected as stem and stop-words elimination is performed. 3. FPS-7: The first seven characters of terms are selected as stem and stop-words elimination is performed. 4. ...
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  • 7

    training with NLP

    Making training programs work with chunking strategies

    ...It has been proven possible to secure elements of successful strategies and apply these to our training of all kinds of skills. Looking at the practices of successful people, and breaking down the parts of their effective behaviours we can teach these in order to improve particular areas of effectiveness. This is the basis of this learning and teaching strategy!
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  • 8
    This project is contains implementations of algorithms to integrate the output of different NLP tools (part of speech taggers, morphologies, parsers, etc.) in order to obtain more accurate, more robust and more fine-grained linguistic analyses. Note that the code is outdated, but left here for documentation purposes. Its functionality may be reimplemented within the NLP2RDF project (http://code.google.com/p/nlp2rdf).
    Downloads: 0 This Week
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  • 9
    The program provides Java interface (to C++ Lemmatizer via XML-RPC) in order to perform lemmatizing in Russian, English, and German (lemma is the canonical form of a lexeme in Natural Language Processing). RussianPOSTagger could work as a module of GATE.
    Downloads: 1 This Week
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    Train ML Models With SQL You Already Know

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  • 10
    The nlpFarm is a Natural Language Processing (NLP) resource where early research prototypes (Java) can evolve into robust and useful open source. Our farmstead collaborates under the OpenNLP initiative, in order to make NLP software publically available.
    Downloads: 0 This Week
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  • 11
    WhiteBeer is a new programming paradigm that is motivated by Noam Chomsky's Minimalist Program. It uses feature checking mechanism to parse programs so that it can provide word-order-independence like natural language processing.
    Downloads: 0 This Week
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  • 12
    Metafrastes is a natural language processing system that can take an input query from the user and translate that internally in order to communicate with a knowledge base in the form of an ontology.
    Downloads: 0 This Week
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