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_mar22a.cha change

Searching only french/lyon_mar22a.cha. Search all transcripts instead

5 matches in 2 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (352 utterances, 1,814 words searched).

Concordance Utterances Distribution Matched forms

coucou ! MOT · french/lyon_mar22a.cha, line 1103 · Marie 2;01
coucou coucou coucou coucou ! 781430_783633 MOT · french/lyon_mar22a.cha, line 1116 · Marie 2;01
coucou coucou coucou coucou ! 781430_783633 MOT · french/lyon_mar22a.cha, line 1116 · Marie 2;01
coucou coucou coucou coucou ! 781430_783633 MOT · french/lyon_mar22a.cha, line 1116 · Marie 2;01
coucou coucou coucou coucou ! 781430_783633 MOT · french/lyon_mar22a.cha, line 1116 · Marie 2;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

2;002;012;022;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_mar22a.cha	Marie	2;1.13	1,814	2	5	2.76

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