2019 Graduate Student Showcase
 

Title of Submission

Searching for Spellcheckers

Degree Program

Computer Science, MS

Major Advisor Name

Jerry Fails

Type of Submission

Scholarly Poster

Judging Session

Both Judging Sessions

Abstract

When formulating queries, users either rely on search engines’ ability to understand their queries– even if those queries include misspellings – or they turn to spellcheckers. The latter is based on past query logs or popular dictionaries, leading to spelling suggestions that often better resonate with adult users because that data is more readily available. Based on an educational perspective, previous research reports, and initial analyses on search logs, we hypothesize that existing spellcheckers are not suitable for young users. We present the results of our ongoing research efforts focused on identifying the needs and expectations children have from spellcheckers.

Funding Information

NSF #1763649

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