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/lyon_nat41b.cha change

Searching only french/lyon_nat41b.cha. Search all transcripts instead

5 matches in 5 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,455 words searched).

Concordance Utterances Distribution Matched forms

sur quoi il va tenir ton pont+levis ? 172980_175685 MOT · french/lyon_nat41b.cha, line 270 · Nathan 2;10
il va tenir debout ? 180598_181660 MOT · french/lyon_nat41b.cha, line 280 · Nathan 2;10
attends [//] (at)tends regar(de) ça va tenir là tu vois . MOT · french/lyon_nat41b.cha, line 427 · Nathan 2;10
ça va tenir là . MOT · french/lyon_nat41b.cha, line 496 · Nathan 2;10
ça va tenir . 350117_355863 MOT · french/lyon_nat41b.cha, line 517 · Nathan 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

01234

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
french/lyon_nat41b.cha	Nathan	2;10.22	1,455	5	5	3.44

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