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_mar04a.cha change

Searching only french/lyon_mar04a.cha. Search all transcripts instead

5 matches in 5 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (480 utterances, 1,863 words searched).

Concordance Utterances Distribution Matched forms

t(u) as vu comme tu es jolie ? GER · french/lyon_mar04a.cha, line 371 · Marie 1;01
<si tu> [//] quand tu te lèves comme ça . 728636_730713 MOT · french/lyon_mar04a.cha, line 821 · Marie 1;01
c'est pas fait pour êt(re) chiffonné comme ça . MOT · french/lyon_mar04a.cha, line 973 · Marie 1;01
regarde , ça tourne comme ça . 968358_974195 MOT · french/lyon_mar04a.cha, line 1111 · Marie 1;01
<bah i(l) faut pas> [/] [<] i(l) faut pas <réagir comme ça> [>] . MOT · french/lyon_mar04a.cha, line 1181 · Marie 1;01

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

1;001;011;021;03

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_mar04a.cha	Marie	1;1.28	1,863	5	5	2.68

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