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/geneva_6.cha change

Searching only french/geneva_6.cha. Search all transcripts instead

8 matches in 8 utterances

6.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,301 words searched).

Concordance Utterances Distribution Matched forms

un (.) deux (.) trois . MOT · french/geneva_6.cha, line 558 · Marie 1;10
un (.) deux (.) trois . MOT · french/geneva_6.cha, line 699 · Marie 1;10
un (.) deux (.) trois ? MOT · french/geneva_6.cha, line 742 · Marie 1;10
un (.) deux (.) trois . MOT · french/geneva_6.cha, line 763 · Marie 1;10
un (.) deux (.) trois . MOT · french/geneva_6.cha, line 860 · Marie 1;10
un (.) deux (.) trois . MOT · french/geneva_6.cha, line 883 · Marie 1;10
on peut pas être à deux sur le tabouret . MOT · french/geneva_6.cha, line 935 · Marie 1;10
un (.) deux +/. MOT · french/geneva_6.cha, line 946 · Marie 1;10

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

per 1,000 words

02468

1;091;101;112;00

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/geneva_6.cha	Marie	1;10.22	1,301	8	8	6.15

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