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/pauline_22b.cha change

Searching only french/pauline_22b.cha. Search all transcripts instead

9 matches in 9 utterances

4.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (496 utterances, 2,073 words searched).

Concordance Utterances Distribution Matched forms

tu viens ? MOT · french/pauline_22b.cha, line 378 · Pauline 1;10
viens ! MOT · french/pauline_22b.cha, line 380 · Pauline 1;10
viens ! MOT · french/pauline_22b.cha, line 383 · Pauline 1;10
tu viens près de maman ? MOT · french/pauline_22b.cha, line 421 · Pauline 1;10
viens te déshabiller ! MOT · french/pauline_22b.cha, line 1099 · Pauline 1;10
viens là ! MOT · french/pauline_22b.cha, line 1195 · Pauline 1;10
viens là enlever le pull ! MOT · french/pauline_22b.cha, line 1197 · Pauline 1;10
viens là ! MOT · french/pauline_22b.cha, line 1212 · Pauline 1;10
viens là ! MOT · french/pauline_22b.cha, line 1217 · Pauline 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

012345

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/pauline_22b.cha	Pauline	1;10.20	2,073	9	9	4.34

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