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_tim01b.cha change

Searching only french/lyon_tim01b.cha. Search all transcripts instead

6 matches in 6 utterances

3.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (475 utterances, 1,810 words searched).

Concordance Utterances Distribution Matched forms

www [= ! rie] ah tu fais bien ! MOT · french/lyon_tim01b.cha, line 178 · Tim 0;11
tu fais semblant ? 246733_248423 MOT · french/lyon_tim01b.cha, line 250 · Tim 0;11
ben qu'est-ce (que) tu fais ? 382087_387595 MOT · french/lyon_tim01b.cha, line 395 · Tim 0;11
<qu'est-ce que tu fais> [= ! chuchotte] ? MOT · french/lyon_tim01b.cha, line 712 · Tim 0;11
comme j(e) fais pas que ça [= ! rie] . 654247_655670 MOT · french/lyon_tim01b.cha, line 739 · Tim 0;11
comme ça tu fais ? 753833_756417 MOT · french/lyon_tim01b.cha, line 851 · 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_tim01b.cha	Tim	0;11.17	1,810	6	6	3.31

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