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_tim15b.cha change

Searching only french/lyon_tim15b.cha. Search all transcripts instead

5 matches in 4 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (636 utterances, 2,110 words searched).

Concordance Utterances Distribution Matched forms

sur mon établi (.) avec mon marteau . 781428_787468 MOT · french/lyon_tim15b.cha, line 1291 · Tim 1;07
sur mon établi (.) avec mon marteau . 781428_787468 MOT · french/lyon_tim15b.cha, line 1291 · Tim 1;07
et mon ? 791955_792665 MOT · french/lyon_tim15b.cha, line 1302 · Tim 1;07
mon gros nez . 1759425_1760308 MOT · french/lyon_tim15b.cha, line 2671 · Tim 1;07
mon gros nez dans tes p(e)tits www [= ! li] yeux . 1760305_1762193 MOT · french/lyon_tim15b.cha, line 2675 · Tim 1;07

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;061;071;081;09

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_tim15b.cha	Tim	1;7.8	2,110	4	5	2.37

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