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Aleksey Morozov 2022-08-09 15:15:51 +03:00
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README.md
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@ -36,7 +36,7 @@ For those unfamiliar with SentencePiece as a software/algorithm, one can read [a
|:---|:---:|:---:|:---:|
|Supported algorithm|BPE, unigram, char, word|BPE|BPE*|
|OSS?|Yes|Yes|Google internal|
|Subword regularization|[Yes](#subword-regularization)|No|No|
|Subword regularization|[Yes](#subword-regularization-and-bpe-dropout)|No|No|
|Python Library (pip)|[Yes](python/README.md)|No|N/A|
|C++ Library|[Yes](doc/api.md)|No|N/A|
|Pre-segmentation required?|[No](#whitespace-is-treated-as-a-basic-symbol)|Yes|Yes|

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doc/experiments.md
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@ -112,7 +112,7 @@ We have evaluated SentencePiece segmentation with the following configurations.
* [KFTT](http://www.phontron.com/kftt/index.html)
* [MultiUN](http://opus.lingfil.uu.se/MultiUN.php) (First 5M and next
5k/5k sentences are used for training and development/testing respectively.)
* [WMT16](http://www.statmt.org/WMT16/)
* [WMT16](https://www.statmt.org/wmt16/)
* In-house: (Used 5M parallel sentences for training)
**NoPretok** and **WsPretok** do not use any language-dependent resources.