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/geneva_7.cha change

Searching only french/geneva_7.cha. Search all transcripts instead

6 matches in 6 utterances

4.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 1,299 words searched).

Concordance Utterances Distribution Matched forms

non (.) c'est orange . MOT · french/geneva_7.cha, line 631 · Marie 1;11
orange . MOT · french/geneva_7.cha, line 635 · Marie 1;11
orange (.) oui . MOT · french/geneva_7.cha, line 680 · Marie 1;11
vous me donnez une orange (.) s'il vous plaît ? MOT · french/geneva_7.cha, line 840 · Marie 1;11
vous me donnez une orange (.) s'il vous plaît . MOT · french/geneva_7.cha, line 845 · Marie 1;11
ça c'est une orange . MOT · french/geneva_7.cha, line 861 · Marie 1;11

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

per 1,000 words

012345

1;101;112;002;01

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/geneva_7.cha	Marie	1;11.05	1,299	6	6	4.62

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