Pith. sign in

REVIEW 1 cited by

A study of conceptual language similarity: comparison and evaluation

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2305.13401 v1 pith:6RPRAKK4 submitted 2023-05-22 cs.CL

classification cs.CL
keywords similaritylanguagelinguisticconceptualmeasuresresearchworkaims
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

An interesting line of research in natural language processing (NLP) aims to incorporate linguistic typology to bridge linguistic diversity and assist the research of low-resource languages. While most works construct linguistic similarity measures based on lexical or typological features, such as word order and verbal inflection, recent work has introduced a novel approach to defining language similarity based on how they represent basic concepts, which is complementary to existing similarity measures. In this work, we study the conceptual similarity in detail and evaluate it extensively on a binary classification task.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Which Languages Transfer Best to Warlpiri? A Similarity-Based Study for Low-Resource ASR

    cs.CL 2026-07 conditional novelty 6.0 of 10

    Assamese and Hindi, selected by acoustic and typological similarity to Warlpiri, cut Whisper WER/CER most; acoustic similarity best predicts fine-tuning gains, inventory/typology zero-shot.

Pith tools