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

7 matches in 6 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

tu viens ? 0_3432 MOT · french/lyon_tim01a.cha, line 15 · Tim 0;11
tu viens voir ? MOT · french/lyon_tim01a.cha, line 18 · Tim 0;11
xxx viens voir ! 5490_8293 MOT · french/lyon_tim01a.cha, line 23 · Tim 0;11
+< je mange pas et toi sur ta tête viens voir ! MOT · french/lyon_tim01a.cha, line 276 · Tim 0;11
+< viens ! VAL · french/lyon_tim01a.cha, line 1046 · Tim 0;11
viens t(e) regarder viens ! 1311010_1314085 VAL · french/lyon_tim01a.cha, line 1049 · Tim 0;11
viens t(e) regarder viens ! 1311010_1314085 VAL · french/lyon_tim01a.cha, line 1049 · 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	6	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.