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  2. Neural machine translation - Wikipedia

    en.wikipedia.org/wiki/Neural_machine_translation

    Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

  3. Natural-language programming - Wikipedia

    en.wikipedia.org/wiki/Natural-language_programming

    Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...

  4. Sales process engineering - Wikipedia

    en.wikipedia.org/wiki/Sales_process_engineering

    SDP “is a defined series of steps you follow as you guide prospects from initial contact to purchase.” [7] Reasons for having a well-thought-out sales process include seller and buyer risk management, standardized customer interaction during sales, and scalable revenue generation.

  5. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    The Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It supports classification, tokenization, stemming, tagging, parsing, and semantic reasoning functionalities. [4]

  6. Sales decision process - Wikipedia

    en.wikipedia.org/wiki/Sales_Decision_Process

    Sales decision process is a formalized sales process companies use to manage the decision process behind a sale. SDP “is a defined series of steps you follow as you guide prospects from initial contact to purchase.” [1] This method includes planning specific timelines and milestones at the beginning of a sale, both internally and with the business customer.

  7. Knowledge extraction - Wikipedia

    en.wikipedia.org/wiki/Knowledge_extraction

    Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources.The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.