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A Corpus Processing and Analysis Pipeline for Quickref

Authors
  • Hacquard, Antoine
  • Verna, Didier
Publication Date
May 03, 2021
Identifiers
DOI: 10.5281/zenodo.4714443
OAI: oai:HAL:hal-03216684v1
Source
HAL-INRIA
Keywords
Language
English
License
Unknown
External links

Abstract

Quicklisp is a library manager working with your existing Common Lisp implementation to download and install around 2000 libraries, from a central archive. Quickref, an application itself written in Common Lisp, generates, automatically and by introspection, a technical documentation for every library in Quicklisp, and produces a website for this documentation. In this paper, we present a corpus processing and analysis pipeline for Quickref. This pipeline consists of a set of natural language processing blocks allowing us to analyze Quicklisp libraries, based on natural language contents sources such as README files, docstrings, or symbol names. The ultimate purpose of this pipeline is the generation of a keyword index for Quickref, although other applications such as word clouds or topic analysis are also envisioned. CCS CONCEPTS • Information systems → Information extraction; Retrieval effectiveness; Presentation of retrieval results; • Software and its engineering → Software libraries and repositories.

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