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_tim15a.cha change

Searching only french/lyon_tim15a.cha. Search all transcripts instead

5 matches in 5 utterances

3.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 1,598 words searched).

Concordance Utterances Distribution Matched forms

tu fais du vélo encore ? 1326465_1328946 MOT · french/lyon_tim15a.cha, line 1715 · Tim 1;07
tu fais du vélo ? MOT · french/lyon_tim15a.cha, line 1720 · Tim 1;07
<c'est à qui> [>] c(e) vélo ? 1509316_1511275 MOT · french/lyon_tim15a.cha, line 1988 · Tim 1;07
oui , un vélo . 1512981_1514428 MOT · french/lyon_tim15a.cha, line 2000 · Tim 1;07
i(l) veut faire du vélo le doudou ? 1617275_1619190 MOT · french/lyon_tim15a.cha, line 2156 · 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

01234

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_tim15a.cha	Tim	1;7.8	1,598	5	5	3.13

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