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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/unkeler_pie14.cha change

Searching only french/unkeler_pie14.cha. Search all transcripts instead

6 matches in 5 utterances

14.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (81 utterances, 422 words searched).

Concordance Utterances Distribution Matched forms

oui là je fais quoi ? MOT · french/unkeler_pie14.cha, line 66 · Pierre 1;10
je fais quoi Pierre ? MOT · french/unkeler_pie14.cha, line 71 · Pierre 1;10
tu fais un chausson ? MOT · french/unkeler_pie14.cha, line 150 · Pierre 1;10
fais un chausson ! MOT · french/unkeler_pie14.cha, line 154 · Pierre 1;10
tu fais une casquette , tu fais une casquette ? MOT · french/unkeler_pie14.cha, line 168 · Pierre 1;10
tu fais une casquette , tu fais une casquette ? MOT · french/unkeler_pie14.cha, line 168 · Pierre 1;10

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

per 1,000 words

051015

1;091;101;112;00

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/unkeler_pie14.cha	Pierre	1;10.16	422	5	6	14.22

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