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/unkeler_pie13.cha change

Searching only french/unkeler_pie13.cha. Search all transcripts instead

5 matches in 5 utterances

18.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (68 utterances, 265 words searched).

Concordance Utterances Distribution Matched forms

montre à maman comment tu fais pour monter dans la voiture ! MOT · french/unkeler_pie13.cha, line 194 · Pierre 1;09
faut la mettre dans le bon sens la brouette ! MOT · french/unkeler_pie13.cha, line 236 · Pierre 1;09
qu'est-ce qu'on met dans la brouette ? MOT · french/unkeler_pie13.cha, line 242 · Pierre 1;09
qu'est-ce que tu mets dans ta brouette ? MOT · french/unkeler_pie13.cha, line 254 · Pierre 1;09
oh (il) y a d(e) l'eau là-d(e)dans ! MOT · french/unkeler_pie13.cha, line 286 · Pierre 1;09

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

1;081;091;101;11

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_pie13.cha	Pierre	1;9.30	265	5	5	18.87

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