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_pie20.cha change

Searching only french/unkeler_pie20.cha. Search all transcripts instead

5 matches in 5 utterances

16.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (80 utterances, 296 words searched).

Concordance Utterances Distribution Matched forms

allez qu'est-ce qu'on regarde ? MOT · french/unkeler_pie20.cha, line 177 · Pierre 2;01
alors et là qu'est-ce qu'i(l) y a ? MOT · french/unkeler_pie20.cha, line 215 · Pierre 2;01
après qu'est-ce qu'i(l) y a d'autre ? MOT · french/unkeler_pie20.cha, line 231 · Pierre 2;01
qu'est-ce qu'on va dire à maman ? MOT · french/unkeler_pie20.cha, line 393 · Pierre 2;01
qu'est-ce qu'on dit ? MOT · french/unkeler_pie20.cha, line 409 · Pierre 2;01

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

per 1,000 words

05101520

2;002;012;022;03

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_pie20.cha	Pierre	2;1.10	296	5	5	16.89

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