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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Speakers

Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_II/nic29a.cha change

Searching only eng_british_Manchester_II/nic29a.cha. Search all transcripts instead

5 matches in 5 utterances

2.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (523 utterances, 2,199 words searched).

Concordance Utterances Distribution Matched forms

and draw a face ? MOT · eng_british_Manchester_II/nic29a.cha, line 1154 · Nicole 2;10
shall we draw a face ? MOT · eng_british_Manchester_II/nic29a.cha, line 1443 · Nicole 2;10
shall [/] shall we draw a face together . MOT · eng_british_Manchester_II/nic29a.cha, line 1714 · Nicole 2;10
on your face . MOT · eng_british_Manchester_II/nic29a.cha, line 1758 · Nicole 2;10
we'll draw [/] draw a face together . MOT · eng_british_Manchester_II/nic29a.cha, line 1839 · Nicole 2;10

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

per 1,000 words

0.00.51.01.52.02.5

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/nic29a.cha	Nicole	2;10.22	2,199	5	5	2.27

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