PHPCLANCHILDES with regular expressions

Regular expression

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The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat22a.cha change

Searching only french/lyon_nat22a.cha. Search all transcripts instead

6 matches in 6 utterances

7.69 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (208 utterances, 780 words searched).

Concordance Utterances Distribution Matched forms

c'est très bien mon Nanou . MOT · french/lyon_nat22a.cha, line 507 · Nathan 2;05
bien [= ! applaudit] super ! 688648_691125 MOT · french/lyon_nat22a.cha, line 518 · Nathan 2;05
c'est bien mon Coti . 691125_697125 MOT · french/lyon_nat22a.cha, line 520 · Nathan 2;05
c'est bien les fruits pour vous . 1016140_1035688 MOT · french/lyon_nat22a.cha, line 740 · Nathan 2;05
c'est bien . MOT · french/lyon_nat22a.cha, line 815 · Nathan 2;05
vous avez pourtant bien mangé à midi ? 1582927_1585232 MOT · french/lyon_nat22a.cha, line 929 · Nathan 2;05

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

per 1,000 words

0246810

2;042;052;062;07

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_nat22a.cha	Nathan	2;5.18	780	6	6	7.69

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