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

7 matches in 6 utterances

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

Concordance Utterances Distribution Matched forms

non, ça c'est un corps et tu lui as déjà mis son corps ! MOT · french/lyon_mas34a.cha, line 152 · Marie 2;06
non, ça c'est un corps et tu lui as déjà mis son corps ! MOT · french/lyon_mas34a.cha, line 152 · Marie 2;06
maintenant il faut lui chercher son corps ! MOT · french/lyon_mas34a.cha, line 533 · Marie 2;06
Tu lui trouves un petit corps ? MOT · french/lyon_mas34a.cha, line 609 · Marie 2;06
un corps ! MOT · french/lyon_mas34a.cha, line 618 · Marie 2;06
bravo, allez, maintenant tu lui trouve son corps ! MOT · french/lyon_mas34a.cha, line 1313 · Marie 2;06
aller le corps ! MOT · french/lyon_mas34a.cha, line 1687 · 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

012345

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	6	7	4.16

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