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I'm getting the following error when trying to compile the library with cargo 1.49.0:
`warning: `...` range patterns are deprecated
--> src/pipeline/normalize.rs:32:17
|
32 | b'…
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The documentation says about function ngrams(sd, 2, 3), but unfortunately, it doesn't exist.
Thank you in advance.
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I found possible typo (uint16_t instead of uint64_t) and a place for one possible small optimization: there is no need to call `put()` if you edited value in-place (if the size of value not changed).
…
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Hi @ParticularMiner,
Hope you are doing good.
I got to work on the same project again and have a question / suggestion - would it be possible to use multiple n-grams to get more features? Like …
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How do you reproduce the results of the code in the paper in your code? According to your example, I get the following result when I execute "generate".
But I still can't feel the quantisation in the…
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```
NGrams.extractNGrams(taggedInputTable, c=1, n=2, k=1000, stopWords = NGrams.stopWords)
```
Might be nice to say what c, n, and k are. I'm presuming n is the n in n-gram and k is the number of fea…
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What if we want to form ngrams but then remove any ngram that contains a stopword?
This currently does not work:
```r
txt % featnames()
# [1] "here_:" ":_is" "is_another" …
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**Is your feature request related to a problem or challenge? Please describe what you are trying to do.**
I'm want to generate parquet files that efficiently support prefix, substring, and suffix q…
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@trangdata
@yjunechoe
Recently, OA has added a lot of new metadata for entity work.
In particular, the API now also reports info regarding keywords, topics, grants that funded the research, APC p…
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In the BLEU.py, function modified_precision(references, hypothesis, n):
def modified_precision(references, hypothesis, n):
# Extracts all ngrams in hypothesis.
counts = Counter(ngrams(hyp…