PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: eng_british_Manchester_I/becky28a.cha change

Searching only eng_british_Manchester_I/becky28a.cha. Search all transcripts instead

5 matches in 5 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,670 words searched).

Concordance Utterances Distribution Matched forms

and I can wash the board more easily then I can wash the table , can't I ? MOT · eng_british_Manchester_I/becky28a.cha, line 125 · Becky 2;09
who do you think's in there now then ? MOT · eng_british_Manchester_I/becky28a.cha, line 1117 · Becky 2;09
go on then . MOT · eng_british_Manchester_I/becky28a.cha, line 1538 · Becky 2;09
go on then . MOT · eng_british_Manchester_I/becky28a.cha, line 1548 · Becky 2;09
what am I then ? MOT · eng_british_Manchester_I/becky28a.cha, line 2035 · Becky 2;09

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

per 1,000 words

01234

2;082;092;102;11

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_I/becky28a.cha	Becky	2;9.13	1,670	5	5	2.99

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