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/unkeler_pie09.cha change

Searching only french/unkeler_pie09.cha. Search all transcripts instead

5 matches in 5 utterances

17.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (58 utterances, 283 words searched).

Concordance Utterances Distribution Matched forms

(il) y a un petit ver dans la pomme . MOT · french/unkeler_pie09.cha, line 31 · Pierre 1;07
un p(e)tit ver dans la pomme , tu le vois ? MOT · french/unkeler_pie09.cha, line 38 · Pierre 1;07
alors (il) y a une langue , un nez , il est où ton nez à toi ? MOT · french/unkeler_pie09.cha, line 50 · Pierre 1;07
encore un nez ! MOT · french/unkeler_pie09.cha, line 61 · Pierre 1;07
il a un p(e)tit trou pour faire pipi , p(u)is caca . MOT · french/unkeler_pie09.cha, line 202 · Pierre 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

05101520

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/unkeler_pie09.cha	Pierre	1;7.27	283	5	5	17.67

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