Pith. sign in

REVIEW

Induced Inflection-Set Keyword Search in Speech

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

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 1910.12299 v2 pith:PPLEQPQF submitted 2019-10-27 cs.CL cs.SDeess.AS

Induced Inflection-Set Keyword Search in Speech

Oliver Adams , Matthew Wiesner , Jan Trmal , Garrett Nicolai , David Yarowsky This is my paper
classification cs.CL cs.SDeess.AS
keywords lexeme-setsearchinflectionalperformancesearchingspeechablationapproaches
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants. Experimental results indicate how lexeme-set search performance changes with the number of hypothesized inflections, while ablation experiments highlight the relative importance of different components in the lexeme-set search pipeline and the value of using curated inflectional paradigms. We provide a recipe and evaluation set for the community to use as an extrinsic measure of the performance of inflection generation approaches.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.