CLMay 27, 2017

On the relation between dependency distance, crossing dependencies, and parsing. Comment on "Dependency distance: a new perspective on syntactic patterns in natural languages" by Haitao Liu et al

arXiv:1705.09837v25 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental commentary that bridges computational linguistics and linguistic theory to address gaps in understanding dependency distance.

This paper critiques and expands on Liu et al.'s work on dependency distance in human languages by exploring how computational linguistics and natural language processing can inform dependency distance research, potentially offering insights into language evolution, brain processing mechanisms, and computer system construction.

Liu et al. (2017) provide a comprehensive account of research on dependency distance in human languages. While the article is a very rich and useful report on this complex subject, here I will expand on a few specific issues where research in computational linguistics (specifically natural language processing) can inform DDM research, and vice versa. These aspects have not been explored much in the article by Liu et al. or elsewhere, probably due to the little overlap between both research communities, but they may provide interesting insights for improving our understanding of the evolution of human languages, the mechanisms by which the brain processes and understands language, and the construction of effective computer systems to achieve this goal.

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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