Exact(8)
We use the term word here because it is commonly found in the literature.
The term word salad is drawn from psychology but has been adopted in areas such as MT to classify unintelligible and random collections of words and phrases (Definition:word salad, 2016).
In a document collection, each term (word or phrase) is denoted with a one-hot vector, and each sentence, paragraph, or document is denoted with a term frequency vector.
begin{aligned}&(tf_40term * bm25_40term)nonumber &quad + (norm_TagAlt + bm25_title) end{aligned} (1 where (tf_40term) is the frequency of a term (word) in the 40-term passage, (bm25_40term) the BM25 score of 40-term passage, (norm_TagAlt) the length of the textual evidence Tag ALT (in words), and (bm25_title) is the BM25 score of the page title.
Throughout the paper, we use the term word identification to refer to the ability of a machine learning algorithm to determine (with some accuracy) which of many words a person is thinking about.
As search item each kind of term (word, word combination, sentence) can be used, but for precise results only single words in each row should be used.
In this work, we consider a sequence s of length n and we adopt the term word to denote a contiguous segment of s.
We also consider an integer m ≥ 2 and a set of sequences s1, s2,..., s m and in this case the term word is applied to a contiguous segment of one of the sequences s1, s2,..., s m.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com