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We need a function in the database to provide the Jaro-Winkler distance between two stings, since this is the algorithm we already use. We will likely need to provide an implementation of it ourselves…
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> Cannot deserialize value of type `org.elm.workspace.Constraint` from string "{": expected something like ...
I've tried messing with my `elm.json` with no luck.
Current attempt:
```
{
"…
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Before comparing the file content using the Levenshtein or Jaro distance, first compare the two files using word-level trigrams to get the general sense of their similarity. Then, use the distance met…
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Attaching 5 files, and their auxiliary files, the command to be used is
```
tl align-page-rank $file \
/ string-similarity -i --method symmetric_monge_elkan:tokenizer=word -o monge_…
saggu updated
3 years ago
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If you have a translation dictionary at hand (e.g. historical forms mapped onto current forms), it might be useful to use this dictionary when getting a similarity score for an input and a target toke…
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How does vector embedding perform compared to fuzzy string matching?
I’m exploring the usage of string matching like levenshtein distance, Jaro-Winkler among others.
Vector embedding seems similar i…
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## 目标
* 用go实现字符串相似度lib
* 处理中文准确度较高(目前很多老外写的库处理中文效果不佳)
* 集成多种相似度算法(编辑距离,汉明编码，骰子系数)
## 莱文斯坦-编辑距离(Levenshtein)
* https://zhuanlan.zhihu.com/p/91667128
* https://www.jianshu.com/p/a617d20162cf
(以…
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It could significantly slim down the data file graph if we could infer some of the typos using [string metric algorithms](https://en.wikipedia.org/wiki/String_metric) or other programmatic ways.
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This is a placeholder for notes on a daemon that can run against the omni install periodically, checking that deployed files have not been tampered with.
First off I like the hash checking each file…
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This issue tracks missing components in the rust port:
- [ ] Levenshtein
- [x] basic distances
- [x] cached distances
- [ ] simd implementation
- [ ] edit operations
- [x] Damera…