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Blog: Statistical Machine Learning, Natural Language Processing and Machine Translation Research Notes


Natural Language, noun phrases are interpreted as program objects, verbs as functions and adjective as properties; programmatic semantics inferred as linguistic structure. Natural Language text queries into regular expressions.

Program editor- “Metafor”, brainstorming tool : Meta analysis package for R and intelligent user interface. Person’s narrative as scaffolding code

https://cran.r-project.org/web/packages/metafor/index.html

Parser: MontyLingua natural language understanding system, each input sentence into VSCOO (Verb-subject-object-object)

Common Sense Knowledge: concept Net derived from Open Mind, corpus of 7,50,000 natural language statements. “Dereference anaphora”

Bayessian generative model to capture relevant natural language phenomena and translate English specification into specification tree.

State of the art (SOTA) — most recent stage in the development of the product.

Types of Machine Translation: 1) Rule Based , 2)Statistical and 3) Neural

ACE parser: the Answer Constraint Engine

Summarizing Source Code using Neural Attention Model- CODENN

CodeSum: Translate Program Language to Natural Language

Source: Artificial Intelligence on Medium

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