PHPCLANCHILDES with regular expressions

Regular expression

Press Enter to search, Shift+Enter for a new line.

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_Bliss/noraimee.cha change

Searching only eng_USA_Bliss/noraimee.cha. Search all transcripts instead

5 matches in 4 utterances

2.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (404 utterances, 1,943 words searched).

Concordance Utterances Distribution Matched forms

now which apron would you like to wear ? CLI · eng_USA_Bliss/noraimee.cha, line 182 · Aimee 5;04
we have this apron or this apron . CLI · eng_USA_Bliss/noraimee.cha, line 187 · Aimee 5;04
we have this apron or this apron . CLI · eng_USA_Bliss/noraimee.cha, line 187 · Aimee 5;04
can I fix your apron for you ? CLI · eng_USA_Bliss/noraimee.cha, line 1595 · Aimee 5;04
do you have an apron at home that you use ? CLI · eng_USA_Bliss/noraimee.cha, line 1610 · Aimee 5;04

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

per 1,000 words

0123

5;035;045;05

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_Bliss/noraimee.cha	Aimee	5;04.	1,943	4	5	2.57

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