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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Context

Ignore case Whole words

Scope One transcript: bilingual_eng_french_Genesee/oli13b10b.cha change

Searching only bilingual_eng_french_Genesee/oli13b10b.cha. Search all transcripts instead

7 matches in 6 utterances

5.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (433 utterances, 1,200 words searched).

Concordance Utterances Distribution Matched forms

what do you say ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 30 · Olivier 1;10
what do you say after ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 46 · Olivier 1;10
can you do something with it ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 252 · Olivier 1;10
do you want me to take it out for you ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 683 · Olivier 1;10
<do we go get> [//] do you wanna [: want to] get your hat ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 779 · Olivier 1;10
<do we go get> [//] do you wanna [: want to] get your hat ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 779 · Olivier 1;10
do you slide in the park ? MOT · bilingual_eng_french_Genesee/oli13b10b.cha, line 984 · Olivier 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
bilingual_eng_french_Genesee/oli13b10b.cha	Olivier	1;10.05	1,200	6	7	5.83

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