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_pie17.cha change

Searching only french/unkeler_pie17.cha. Search all transcripts instead

5 matches in 4 utterances

13.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (100 utterances, 374 words searched).

Concordance Utterances Distribution Matched forms

c'est des souris . MOT · french/unkeler_pie17.cha, line 274 · Pierre 1;11
(il) y a des enfants ? MOT · french/unkeler_pie17.cha, line 313 · Pierre 1;11
(il) y a des enfants ? MOT · french/unkeler_pie17.cha, line 317 · Pierre 1;11
non c'est pas des chaussettes , c'est des moufles . MOT · french/unkeler_pie17.cha, line 377 · Pierre 1;11
non c'est pas des chaussettes , c'est des moufles . MOT · french/unkeler_pie17.cha, line 377 · Pierre 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

051015

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/unkeler_pie17.cha	Pierre	1;11.23	374	4	5	13.37

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