PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

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Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah033.cha change

Searching only eng_USA_Brown/sarah033.cha. Search all transcripts instead

8 matches in 5 utterances

12.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (207 utterances, 652 words searched).

Concordance Utterances Distribution Matched forms

and what's my Daddy's name ? MOT · eng_USA_Brown/sarah033.cha, line 314 · Sarah 2;10
and what's Daddy's Mumma's name ? MOT · eng_USA_Brown/sarah033.cha, line 319 · Sarah 2;10
what's Daddy's Daddy's name ? MOT · eng_USA_Brown/sarah033.cha, line 330 · Sarah 2;10
what's Daddy's Daddy's name ? MOT · eng_USA_Brown/sarah033.cha, line 330 · Sarah 2;10
what's Daddy's Daddy's name ? MOT · eng_USA_Brown/sarah033.cha, line 334 · Sarah 2;10
what's Daddy's Daddy's name ? MOT · eng_USA_Brown/sarah033.cha, line 334 · Sarah 2;10
Daddy's Daddy's name is Arthur . MOT · eng_USA_Brown/sarah033.cha, line 352 · Sarah 2;10
Daddy's Daddy's name is Arthur . MOT · eng_USA_Brown/sarah033.cha, line 352 · Sarah 2;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

051015

2;092;102;113;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
eng_USA_Brown/sarah033.cha	Sarah	2;10.11	652	5	8	12.27

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