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/eve09.cha change

Searching only eng_USA_Brown/eve09.cha. Search all transcripts instead

6 matches in 6 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (503 utterances, 1,934 words searched).

Concordance Utterances Distribution Matched forms

we'll have supper on the new table . MOT · eng_USA_Brown/eve09.cha, line 1501 · Eve 1;10
supper ? FAT · eng_USA_Brown/eve09.cha, line 1656 · Eve 1;10
not supper . FAT · eng_USA_Brown/eve09.cha, line 1671 · Eve 1;10
no # we'll have supper at our new table . MOT · eng_USA_Brown/eve09.cha, line 3236 · Eve 1;10
tonight we'll have supper . MOT · eng_USA_Brown/eve09.cha, line 3260 · Eve 1;10
that's not supper . MOT · eng_USA_Brown/eve09.cha, line 3306 · Eve 1;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

01234

1;091;101;11

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/eve09.cha	Eve	1;10.	1,934	6	6	3.10

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