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: french/lyon_nat19b.cha change

Searching only french/lyon_nat19b.cha. Search all transcripts instead

6 matches in 6 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (502 utterances, 2,098 words searched).

Concordance Utterances Distribution Matched forms

ah tu t(e) laves ? MOT · french/lyon_nat19b.cha, line 561 · Nathan 1;10
tu t(e) laves les mains ? 530945_532602 MOT · french/lyon_nat19b.cha, line 563 · Nathan 1;10
allez Nat tu t(e) laves les fesses tout seul . 1309132_1315287 MOT · french/lyon_nat19b.cha, line 1265 · Nathan 1;10
tu t(e) laves les fesses ? 1316217_1317193 FAT · french/lyon_nat19b.cha, line 1270 · Nathan 1;10
tu t(e) laves le zizi ? FAT · french/lyon_nat19b.cha, line 1275 · Nathan 1;10
tu t(e) laves le zizi mon Nanou ? 1319117_1322005 MOT · french/lyon_nat19b.cha, line 1278 · Nathan 1;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

01234

1;091;101;112;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
french/lyon_nat19b.cha	Nathan	1;10.19	2,098	6	6	2.86

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