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_nat28a.cha change

Searching only french/lyon_nat28a.cha. Search all transcripts instead

6 matches in 6 utterances

3.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (613 utterances, 1,991 words searched).

Concordance Utterances Distribution Matched forms

et comment tu vas faire alors ? MOT · french/lyon_nat28a.cha, line 485 · Nathan 2;03
alors j(e) me mets avec Nat là . 373065_375658 MOT · french/lyon_nat28a.cha, line 684 · Nathan 2;03
alors . 1025675_1031032 MOT · french/lyon_nat28a.cha, line 1575 · Nathan 2;03
alors c(e) qu'i(l) y a c'est qu'i(l) y a encore La_Rochelle a gagné . 1161… FAT · french/lyon_nat28a.cha, line 1776 · Nathan 2;03
alors . 1297940_1299623 FAT · french/lyon_nat28a.cha, line 2015 · Nathan 2;03
c'était juste un pet alors . 1362943_1365915 JEA · french/lyon_nat28a.cha, line 2134 · Nathan 2;03

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;022;032;042;05

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_nat28a.cha	Nathan	2;3.6	1,991	6	6	3.01

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