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_nat33b.cha change

Searching only french/lyon_nat33b.cha. Search all transcripts instead

5 matches in 5 utterances

2.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 2,271 words searched).

Concordance Utterances Distribution Matched forms

un deux caca ? 174687_175857 MOT · french/lyon_nat33b.cha, line 191 · Nathan 2;06
on va enl(e)ver l(e) caca Nanou . MOT · french/lyon_nat33b.cha, line 1371 · Nathan 2;06
le caca . FAT · french/lyon_nat33b.cha, line 1474 · Nathan 2;06
le caca ? MOT · french/lyon_nat33b.cha, line 1487 · Nathan 2;06
qui c'est qui a fait un bon caca dès c(e) matin ? 1268880_1272592 FAT · french/lyon_nat33b.cha, line 1557 · Nathan 2;06

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;052;062;072;08

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_nat33b.cha	Nathan	2;6.1	2,271	5	5	2.20

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