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: french/york_liea027.cha change

Searching only french/york_liea027.cha. Search all transcripts instead

5 matches in 4 utterances

2.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,862 words searched).

Concordance Utterances Distribution Matched forms

êtes vous sûre que vous n' avez pas mis trop de poivre ? 1590120_1592522 MAM · french/york_liea027.cha, line 1523 · Léa 3;10
êtes vous sûre que vous n' avez pas mis trop de poivre ? 1590120_1592522 MAM · french/york_liea027.cha, line 1523 · Léa 3;10
vous l'avez bien cuit . 1608899_1609910 MAM · french/york_liea027.cha, line 1550 · Léa 3;10
vous avez bien cuisiné , Madame . 1613281_1614503 MAM · french/york_liea027.cha, line 1556 · Léa 3;10
et qu'allez vous faire maintenant ? 1614503_1617747 MAM · french/york_liea027.cha, line 1559 · Léa 3;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

0123

3;093;103;114;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/york_liea027.cha	Léa	3;10.23	1,862	4	5	2.69

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