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

Search in

Speakers

Context

Ignore case Whole words

Scope One transcript: eng_USA_Brown/sarah094.cha change

Searching only eng_USA_Brown/sarah094.cha. Search all transcripts instead

5 matches in 5 utterances

3.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,477 words searched).

Concordance Utterances Distribution Matched forms

next is <Thank(sgiving)> [//] # Halloween . MOT · eng_USA_Brown/sarah094.cha, line 438 · Sarah 4;02
next is Halloween . MOT · eng_USA_Brown/sarah094.cha, line 442 · Sarah 4;02
yeah # you remember what Halloween is ? FAT · eng_USA_Brown/sarah094.cha, line 447 · Sarah 4;02
what do you do Halloween ? FAT · eng_USA_Brown/sarah094.cha, line 451 · Sarah 4;02
what do you do Halloween ? MOT · eng_USA_Brown/sarah094.cha, line 453 · Sarah 4;02

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

per 1,000 words

01234

4;014;024;034;04

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/sarah094.cha	Sarah	4;2.01	1,477	5	5	3.39

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