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: eng_USA_Bloom/allison3.cha change

Searching only eng_USA_Bloom/allison3.cha. Search all transcripts instead

7 matches in 7 utterances

4.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (439 utterances, 1,629 words searched).

Concordance Utterances Distribution Matched forms

and who else ? MOT · eng_USA_Bloom/allison3.cha, line 19 · Allison 1;08
who was in the car ? MOT · eng_USA_Bloom/allison3.cha, line 137 · Allison 1;08
who (i)s at school ? MOT · eng_USA_Bloom/allison3.cha, line 178 · Allison 1;08
yeah, who else is at school ? MOT · eng_USA_Bloom/allison3.cha, line 186 · Allison 1;08
who came to school with Mommy Mommy today ? MOT · eng_USA_Bloom/allison3.cha, line 190 · Allison 1;08
who (i)s going uptown ? MOT · eng_USA_Bloom/allison3.cha, line 1352 · Allison 1;08
who (i)s going uptown ? MOT · eng_USA_Bloom/allison3.cha, line 1410 · Allison 1;08

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;071;081;091;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
eng_USA_Bloom/allison3.cha	Allison	1;8.21	1,629	7	7	4.30

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