CLJan 31, 2019

Riconoscimento ortografico per apostrofo ed espressioni polirematiche

arXiv:1902.00555v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses a domain-specific issue in text processing, likely for linguistics or NLP applications, and appears incremental as it builds on existing EditDistance concepts.

The paper tackles the problem of orthographic recognition for apostrophes and compound expressions by developing two string manipulation and comparison algorithms, achieving improvements through distributed data processing techniques.

The work presents two algorithms of manipulation and comparison between strings whose purpose is the orthographic recognition of the apostrophe and of the compound expressions. The theory supporting general reasoning refers to the basic concept of EditDistance, the improvements that ensure the achievement of the objective are achieved with the aid of tools borrowed from the use of techniques for processing large amounts of data on distributed platforms.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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