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_Bloom/peter01.cha change

Searching only eng_USA_Bloom/peter01.cha. Search all transcripts instead

4 matches in 2 utterances

3.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (1,005 utterances, 1,216 words searched).

Concordance Utterances Distribution Matched forms

<ka ka> [: car+car] . CHI · eng_USA_Bloom/peter01.cha, line 51 · Peter 1;09
<ka ka> [: car+car] . CHI · eng_USA_Bloom/peter01.cha, line 51 · Peter 1;09
zoom@o # xxx # <ka ka> [: car+car] # beep@o beep@o beep@o # mama . CHI · eng_USA_Bloom/peter01.cha, line 267 · Peter 1;09
zoom@o # xxx # <ka ka> [: car+car] # beep@o beep@o beep@o # mama . CHI · eng_USA_Bloom/peter01.cha, line 267 · Peter 1;09

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

per 1,000 words

01234

1;081;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_Bloom/peter01.cha	Peter	1;9.08	1,216	2	4	3.29

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