A computational grammar and lexicon for Maltese
A computational grammar and lexicon for Maltese
A computational grammar and lexicon for Maltese
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Figure 3.4: Viewing the details of a particular entry, where one can filter through the<br />
word<strong>for</strong>ms<br />
even increase it slightly), but giving the user at least some in<strong>for</strong>mation quickly feels a lot better<br />
than making them wait <strong>for</strong> a long time <strong>and</strong> then displaying it all at once.<br />
Search per<strong>for</strong>mance<br />
In our application most searches are carried out on the word<strong>for</strong>ms.surface_<strong>for</strong>m field. Despite<br />
containing over 4 million <strong>for</strong>ms, using a database index on the field makes searching time very<br />
good. In most cases the response time is under 100ms, even when searching using regular<br />
expressions. Yet some queries do take much longer to complete (in the order of seconds), generally<br />
when the beginning-of-string anchor ^ is omitted. Table 3.2 gives some example queries<br />
<strong>and</strong> their response times.<br />
Table 3.2: Example database queries <strong>and</strong> response times<br />
Type Query Response time (ms)<br />
Basic text search db.word<strong>for</strong>ms.find({"surface_<strong>for</strong>m":"skrejjen"}) < 100<br />
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