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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Context

Ignore case Whole words

Scope One transcript: french/lyon_mar27a.cha change

Searching only french/lyon_mar27a.cha. Search all transcripts instead

4 matches in 3 utterances

4.94 per 1,000 words of the child (CHI), in 1 of 1 transcripts (336 utterances, 810 words searched).

Concordance Utterances Distribution Matched forms

après me rend et me prête et toi tu ‹joues [?]› tu ‹prennes [?]› . 590222_599… CHI · french/lyon_mar27a.cha, line 961 · Marie 2;06
après me rend et me prête et toi tu ‹joues [?]› tu ‹prennes [?]› . 590222_599423 CHI · french/lyon_mar27a.cha, line 961 · Marie 2;06
me mets mon collier et mon yyy brac(e)let hein . CHI · french/lyon_mar27a.cha, line 1984 · Marie 2;06
‹(..) aïe› (ça) me ‹sèche [?]› mes cheveux . 1580198_1586992 CHI · french/lyon_mar27a.cha, line 2376 · Marie 2;06

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;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_mar27a.cha	Marie	2;6.	810	3	4	4.94

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