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

8 matches in 8 utterances

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

Concordance Utterances Distribution Matched forms

what (i)s Allison doing ? MOT · eng_USA_Bloom/allison3.cha, line 31 · Allison 1;08
what are you doing ? MOT · eng_USA_Bloom/allison3.cha, line 33 · Allison 1;08
what was Mommy doing ? MOT · eng_USA_Bloom/allison3.cha, line 145 · Allison 1;08
and what were the children doing ? MOT · eng_USA_Bloom/allison3.cha, line 149 · Allison 1;08
what are you doing ? MOT · eng_USA_Bloom/allison3.cha, line 1446 · Allison 1;08
what are you doing ? MOT · eng_USA_Bloom/allison3.cha, line 1490 · Allison 1;08
what are you doing ? MOT · eng_USA_Bloom/allison3.cha, line 2247 · Allison 1;08
what are you doing ? MOT · eng_USA_Bloom/allison3.cha, line 2249 · 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

0246

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	8	8	4.91

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