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_tim01a.cha change

Searching only french/lyon_tim01a.cha. Search all transcripts instead

5 matches in 5 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (447 utterances, 1,606 words searched).

Concordance Utterances Distribution Matched forms

t(u) as vu [?] ? 3432_5490 MOT · french/lyon_tim01a.cha, line 20 · Tim 0;11
t(u) as vu ça ? VAL · french/lyon_tim01a.cha, line 47 · Tim 0;11
t(u) as d(é)jà vu . 42995_46232 MOT · french/lyon_tim01a.cha, line 71 · Tim 0;11
pas vu des grands pieds comme ça mais +... MOT · french/lyon_tim01a.cha, line 73 · Tim 0;11
t(u) as vu c'est xxx . MOT · french/lyon_tim01a.cha, line 986 · Tim 0;11

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

0;100;111;001;01

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_tim01a.cha	Tim	0;11.17	1,606	5	5	3.11

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