PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_II/nic28a.cha change

Searching only eng_british_Manchester_II/nic28a.cha. Search all transcripts instead

6 matches in 6 utterances

9.30 per 1,000 words of the child (CHI), in 1 of 1 transcripts (319 utterances, 645 words searched).

Concordance Utterances Distribution Matched forms

getting Happy+Birthday to Lauren . CHI · eng_british_Manchester_II/nic28a.cha, line 1381 · Nicole 2;10
Lauren ? CHI · eng_british_Manchester_II/nic28a.cha, line 1574 · Nicole 2;10
Abigail's birthday and then Lauren . CHI · eng_british_Manchester_II/nic28a.cha, line 1590 · Nicole 2;10
um Nicole and Lauren . CHI · eng_british_Manchester_II/nic28a.cha, line 1801 · Nicole 2;10
to Nicole and Lauren . CHI · eng_british_Manchester_II/nic28a.cha, line 1811 · Nicole 2;10
to Lauren from Nicole . CHI · eng_british_Manchester_II/nic28a.cha, line 1815 · Nicole 2;10

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

0246810

2;092;102;113;00

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
eng_british_Manchester_II/nic28a.cha	Nicole	2;10.08	645	6	6	9.30

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.