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_mar42b.cha change

Searching only french/lyon_mar42b.cha. Search all transcripts instead

4 matches in 2 utterances

4.21 per 1,000 words of the child (CHI), in 1 of 1 transcripts (243 utterances, 951 words searched).

Concordance Utterances Distribution Matched forms

<je suis tombé> [/] <je suis tombé je suis tombé yyy> [/] ‹www [= ! chante]› .… CHI · french/lyon_mar42b.cha, line 872 · Marie 3;07
<je suis tombé> [/] <je suis tombé je suis tombé yyy> [/] ‹www [= ! chante]› . 786087_790742 CHI · french/lyon_mar42b.cha, line 872 · Marie 3;07
<je suis tombé> [/] <je suis tombé je suis tombé yyy> [/] ‹www [= ! chante]› . 786087_790742 CHI · french/lyon_mar42b.cha, line 872 · Marie 3;07
je suis ‹tombé [= ! chante]› . 790742_794843 CHI · french/lyon_mar42b.cha, line 875 · Marie 3;07

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

3;063;073;083;09

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_mar42b.cha	Marie	3;7.16	951	2	4	4.21

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