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: eng_USA_Brown/sarah106.cha change

Searching only eng_USA_Brown/sarah106.cha. Search all transcripts instead

5 matches in 3 utterances

4.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,198 words searched).

Concordance Utterances Distribution Matched forms

sing # sing the song for uh Melissa (be)cause she won't be here next week . MOT · eng_USA_Brown/sarah106.cha, line 1075 · Sarah 4;04
sing # sing the song for uh Melissa (be)cause she won't be here next week . MOT · eng_USA_Brown/sarah106.cha, line 1075 · Sarah 4;04
y(ou) better be just itchin(g) it # see . MOT · eng_USA_Brown/sarah106.cha, line 1236 · Sarah 4;04
yeah # (be)cause if it's gonna be a p@l it's got ta go that way . MEL · eng_USA_Brown/sarah106.cha, line 1248 · Sarah 4;04
yeah # (be)cause if it's gonna be a p@l it's got ta go that way . MEL · eng_USA_Brown/sarah106.cha, line 1248 · Sarah 4;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

012345

4;034;044;054;06

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/sarah106.cha	Sarah	4;4.25	1,198	3	5	4.17

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