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/sarah037.cha change

Searching only eng_USA_Brown/sarah037.cha. Search all transcripts instead

5 matches in 4 utterances

2.70 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (504 utterances, 1,851 words searched).

Concordance Utterances Distribution Matched forms

know who's dress this was ? MOT · eng_USA_Brown/sarah037.cha, line 219 · Sarah 2;11
um # this was Mummy's dress when Mummy was a little girl . MOT · eng_USA_Brown/sarah037.cha, line 226 · Sarah 2;11
um # this was Mummy's dress when Mummy was a little girl . MOT · eng_USA_Brown/sarah037.cha, line 226 · Sarah 2;11
do you know where I was all day ? FAT · eng_USA_Brown/sarah037.cha, line 2298 · Sarah 2;11
where was I all day ? FAT · eng_USA_Brown/sarah037.cha, line 2306 · Sarah 2;11

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

2;102;113;003;01

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/sarah037.cha	Sarah	2;11.17	1,851	4	5	2.70

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