A text window is a group of words appearing in contiguous positions in
text. Intuitively, words in such close proximity should have somethin
g to do with each other. We can use the text window to exploit a varie
ty of lexical, syntactic, and semantic relationships without having to
analyze the text explicitly for their structure. This research suppor
ts the previously suggested idea that natural groupings of words are b
est treated as a unit of size 7 to 11 words, that is, plus or minus th
ree to five words. Our text retrieval experiments varying the size of
windows, both with full text and with stopwords removed, support these
size ranges. The characteristics of windows that best match terms in
queries are examined in detail, revealing interesting differences betw
een those for queries with good results and those for queries with poo
rer results. Queries with good results tend to contain more content wo
rd phrases and fewer terms with high frequency of use in the database.
Information retrieval systems may benefit from expanding thesaurus-st
yle relationships or incorporating statistical dependencies for terms
within these windows.