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/lyon_mas34a.cha change

Searching only french/lyon_mas34a.cha. Search all transcripts instead

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,682 words searched).

Concordance Utterances Distribution Matched forms

bon tu lui trouves son pantalon à ce clown ? MOT · french/lyon_mas34a.cha, line 724 · Marie 2;06
ah bon ! MOT · french/lyon_mas34a.cha, line 1062 · Marie 2;06
bon celui-ci il est facile hein maintenant ! MOT · french/lyon_mas34a.cha, line 1661 · Marie 2;06
bon ben écoute , on va passer à une autre couleur si c'est fait ! MOT · french/lyon_mas34a.cha, line 2307 · Marie 2;06
bon, non, non ! MOT · french/lyon_mas34a.cha, line 2398 · Marie 2;06

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

per 1,000 words

01234

2;052;062;072;08

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/lyon_mas34a.cha	Marie	2;6.19	1,682	5	5	2.97

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