Edited 130_Partial_Matching/30_Ngram_intro.asciidoc with Atlas code e…

…ditor

130_Partial_Matching/30_Ngram_intro.asciidoc

@@ -1,37 +1,36 @@
-=== Ngrams for partial matching
+=== Ngrams for Partial Matching
 
-As we have said before: ``you can only find terms that exist in the inverted
-index''. While the `prefix`, `wildcard` and `regexp` queries demonstrated that
-that is not strictly true, it *is* true that doing a single term lookup is
+As we have said before, ``You can find only terms that exist in the inverted
+index.'' Although the `prefix`, `wildcard`, and `regexp` queries demonstrated that
+that is not strictly true, it _is_ true that doing a single-term lookup is
 much faster than iterating through the terms list to find matching terms on
 the fly.((("partial matching", "index time optimizations", "n-grams"))) Preparing your data for partial matching ahead of time will increase
 your search performance.
 
 Preparing your data at index time means choosing the right analysis chain, and
 the tool that we use for partial matching is the _n-gram_.((("n-grams"))) An n-gram can be
-best thought of as a ``moving window on a word''. The _n_ stands for a length.
+best thought of as a _moving window on a word_. The _n_ stands for a length.
 If we were to n-gram the word `quick`, the results would depend on the length
 we have chosen:
 
 [horizontal]
-Length 1 (unigram)::    [ `q`, `u`, `i`, `c`, `k` ]
-Length 2 (bigram)::     [ `qu`, `ui`, `ic`, `ck` ]
-Length 3 (trigram)::    [ `qui`, `uic`, `ick` ]
-Length 4 (four-gram)::  [ `quic`, `uick` ]
-Length 5 (five-gram)::  [ `quick` ]
+* Length 1 (unigram):    [ `q`, `u`, `i`, `c`, `k` ]
+* Length 2 (bigram):     [ `qu`, `ui`, `ic`, `ck` ]
+* Length 3 (trigram):    [ `qui`, `uic`, `ick` ]
+* Length 4 (four-gram):  [ `quic`, `uick` ]
+* Length 5 (five-gram):  [ `quick` ]
 
-Plain n-grams are useful for matching ``somewhere within a word'', a technique
+Plain n-grams are useful for matching _somewhere within a word_, a technique
 that we will use in <<ngrams-compound-words>>. However, for search-as-you-type,
-we use a specialised form of n-grams called _edge n-grams_. ((("edge n-grams"))) Edge
+we use a specialized form of n-grams called _edge n-grams_. ((("edge n-grams"))) Edge
 n-grams are anchored to the beginning of the word. Edge n-gramming the word
-`quick` would result in:
+`quick` would result in this:
 
 * `q`
 * `qu`
 * `qui`
 * `quic`
 * `quick`
 
-You may notice that this conforms exactly to the letters that a user would
-type if they wanted to search for ``quick''. In other words, these are the
+You may notice that this conforms exactly to the letters that a user searching for ``quick'' would type. In other words, these are the
 perfect terms to use for instant search!