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_tim08a.cha change

Searching only french/lyon_tim08a.cha. Search all transcripts instead

4 matches in 4 utterances

2.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (467 utterances, 1,766 words searched).

Concordance Utterances Distribution Matched forms

qu'est-c(e) qu'i(l) lui est arrivé à ton nez ? 442830_444143 MOT · french/lyon_tim08a.cha, line 533 · Tim 1;03
qu'est-c(e) qu'i(l) lui est arrivé à ton nez ? 449513_451478 MOT · french/lyon_tim08a.cha, line 543 · Tim 1;03
où il est ton nez ? 451478_455155 MOT · french/lyon_tim08a.cha, line 547 · Tim 1;03
il est où ton nez ? 458151_459663 MOT · french/lyon_tim08a.cha, line 553 · Tim 1;03

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

per 1,000 words

0.00.51.01.52.02.5

1;021;031;041;05

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_tim08a.cha	Tim	1;3.23	1,766	4	4	2.27

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