Expand Korean vocabulary into English tags and stems for query enrichment.
npx skills add https://github.com/junghan0611/agent-config --skill dictcli
Please help me install this Agent Skill. Skill: dictcli Source: https://github.com/junghan0611/agent-config/tree/main/skills/dictcli Command: npx skills add https://github.com/junghan0611/agent-config --skill dictcli
Korean vocabulary often lacks direct English tags and requires manual translation and morphological analysis. dictcli automates cross-lingual query enrichment by expanding Korean terms into English tags and by stemming Korean forms for better search and mapping.
Run dictcli expand on a Korean word in its base directory to obtain English tag candidates.
High-intent search queries and answers about installing and using this skill.
To expand Korean vocabulary into English tags for cross-lingual query enrichment, run the dictcli expand command on a Korean word in its base directory to obtain candidate English tags and stems.
Korean morphology stemming extracts base Korean forms to support robust matching and downstream knowledge search queries. You need it when Korean vocabulary requires morphological analysis prior to performing search operations.
You extract Korean stems by running the local bundled binary in the skill directory, which processes Korean forms and translates them into English stems for better search and data mapping.
Yes, linguistic graph expansion requires a graph.edn file placed in the working directory. The tool reads this file to perform vocabulary expansion, translation, and stemming operations.
Yes, Korean to English mapping tasks for research and data pipelines run without external dependencies. The expansion uses a bundled local binary in the skill directory to process translations.
Cross-lingual query expansion for knowledge search workflows is limited to processing Korean vocabulary into English tags and stems. It relies on a local binary and a graph.edn file, requiring manual setup of the working directory.
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