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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Context

Ignore case Whole words

Scope One transcript: french/lyon_tim01a.cha change

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

7 matches in 7 utterances

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

Concordance Utterances Distribution Matched forms

qu'est-ce (que) tu fais ? MOT · french/lyon_tim01a.cha, line 168 · Tim 0;11
<qu'est-ce (que) tu fais> [= ! chuchote] ? MOT · french/lyon_tim01a.cha, line 290 · Tim 0;11
<qu'est-ce (que) tu fais> [= ! chuchote] ? 344435_346977 MOT · french/lyon_tim01a.cha, line 293 · Tim 0;11
fais voir ! MOT · french/lyon_tim01a.cha, line 686 · Tim 0;11
tu lui fais coucou ! MOT · french/lyon_tim01a.cha, line 1056 · Tim 0;11
tu fais du cheval ? 1486037_1489218 MOT · french/lyon_tim01a.cha, line 1272 · Tim 0;11
tu fais pareil . 1526082_1529178 MOT · french/lyon_tim01a.cha, line 1338 · 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

012345

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	7	7	4.36

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