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_mar30a.cha change

Searching only french/lyon_mar30a.cha. Search all transcripts instead

4 matches in 4 utterances

5.10 per 1,000 words of the child (CHI), in 1 of 1 transcripts (320 utterances, 785 words searched).

Concordance Utterances Distribution Matched forms

‹(...) c'est› juste pour nettoyer sa tête . 1231633_1242873 CHI · french/lyon_mar30a.cha, line 1498 · Marie 2;08
c'est juste <pour (.) enl(e)ver> [//] pour enl(e)ver le pipi de sa tête . CHI · french/lyon_mar30a.cha, line 1510 · Marie 2;08
juste +... CHI · french/lyon_mar30a.cha, line 1845 · Marie 2;08
a juste un p(e)tit ‹peu (.)› d(e) cacao là . CHI · french/lyon_mar30a.cha, line 1849 · Marie 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

0246

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_mar30a.cha	Marie	2;8.14	785	4	4	5.10

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