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_tim19a.cha change

Searching only french/lyon_tim19a.cha. Search all transcripts instead

4 matches in 4 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,592 words searched).

Concordance Utterances Distribution Matched forms

i(l) va se faire bobo . 4697_6547 MOT · french/lyon_tim19a.cha, line 20 · Tim 1;09
il vient juste de se réveiller . 857392_859620 MOT · french/lyon_tim19a.cha, line 916 · Tim 1;09
on (va) se moucher . 1187540_1188947 MOT · french/lyon_tim19a.cha, line 1380 · Tim 1;09
i(l) y a que des oeufs , et après quand i(ls) se réveillent , <i(ls) sont tous nés> [>] . MOT · french/lyon_tim19a.cha, line 1551 · Tim 1;09

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

1;081;091;101;11

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_tim19a.cha	Tim	1;9.12	1,592	4	4	2.51

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