Showing 10 open source projects for "natural and language and understanding"

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  • 1
    Ruby

    Ruby

    Ruby programming language

    A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. He has often said that he is “trying to make Ruby natural, not simple,” in a way that mirrors...
    Downloads: 8 This Week
    Last Update:
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  • 2
    Crystal

    Crystal

    The crystal programming language

    Crystal’s syntax is heavily inspired by Ruby’s, so it feels natural to read and easy to write, and has the added benefit of a lower learning curve for experienced Ruby devs. Crystal is statically type checked, so any type errors will be caught early by the compiler rather than fail on runtime. Moreover, and to keep the language clean, Crystal has built-in type inference, so most type annotations are unneeded. All types are non-nilable in Crystal, and nilable variables are represented as a union...
    Downloads: 0 This Week
    Last Update:
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  • 3
    SPyQL

    SPyQL

    Query data on the command line with SQL-like SELECTs powered by Python

    SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since...
    Downloads: 0 This Week
    Last Update:
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  • 4
    heml

    heml

    HEML is an open source markup language for building responsive email

    ... elements and style rules. Share them with the world, or keep em to yourself. Your choice. Email is hard. With dozens of popular email clients, each of which has its own quirks, it can be overwhelming to build an email that looks good and works well. Add in the challenge of getting your email to the inbox quickly, and it's enough to make anyone give up. HEML is a XML-based markup language designed for building emails. The goal is to make building emails feel as natural as building websites.
    Downloads: 0 This Week
    Last Update:
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  • 5
    WikiSQL

    WikiSQL

    A large annotated semantic parsing corpus for developing NL interfaces

    A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching...
    Downloads: 0 This Week
    Last Update:
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  • 6
    ROO is an (OWL) ontology construction tool based on Protégé 4. ROO makes the ontology building process easier as it provides guidance about the steps involved and it allows to enter knowledge using an easy to learn controlled natural language.
    Downloads: 0 This Week
    Last Update:
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  • 7
    SpatialML is a markup language for representing spatial expressions in natural language documents. The goal is to allow for better integration of text collections with resources such as databases that provide spatial information about a domain.
    Downloads: 1 This Week
    Last Update:
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  • 8
    Xaira
    XAIRA (XML Aware Indexing and Retrieval Architecture) supports indexing and analysis of large XML textual resources such as natural language corpora.
    Downloads: 1 This Week
    Last Update:
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  • 9
    KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
    Downloads: 0 This Week
    Last Update:
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  • 10
    Cathnet is developing the infrastructure for the Catholic Semantic Web. Technologies involved include, but are not limited to, XML, RDF, NLP, Zope, Plone and Plone products.
    Downloads: 0 This Week
    Last Update:
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