PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_tim37a.cha change

Searching only french/lyon_tim37a.cha. Search all transcripts instead

4 matches in 2 utterances

3.83 per 1,000 words of the child (CHI), in 1 of 1 transcripts (191 utterances, 1,045 words searched).

Concordance Utterances Distribution Matched forms

‹oui ,› on va chercher mon Winnie Lulu Winnie Lulu chercher je vais chercher Winnie Babar et Lulu tout … CHI · french/lyon_tim37a.cha, line 1431 · Tim 2;08
‹oui ,› on va chercher mon Winnie Lulu Winnie Lulu chercher je vais chercher Winnie Babar et Lulu tout ‹ça (.)› tou… CHI · french/lyon_tim37a.cha, line 1431 · Tim 2;08
… on va chercher mon Winnie Lulu Winnie Lulu chercher je vais chercher Winnie Babar et Lulu tout ‹ça (.)› tout ça . 1669655_1693763 CHI · french/lyon_tim37a.cha, line 1431 · Tim 2;08
lui il s'appelle Winnie . 1717948_1719952 CHI · french/lyon_tim37a.cha, line 1463 · Tim 2;08

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

per 1,000 words

012345

2;072;082;092;10

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_tim37a.cha	Tim	2;8.12	1,045	2	4	3.83

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