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Sounds interesting. Can you expand on what you mean by "with embedding cosine as character replacement weights"?
by ahnick 7y ago
Sounds interesting. Can you expand on what you mean by "with embedding cosine as character replacement weights"?
- Raphaellll 7y agoEdit distance allows for insertion, deletion and substitution. Some allow custom cost for substitution (e.g. characters closer together on a keyboard have lower substitution cost than other; for typo normalization). What I describe in my comment is to use the cosine similarity between learned character embeddings as substitution costs.