NLP C2_W2 subtitle errata

Hello,
I noticed some mistranscriptions in the transcript (subtitles, captions) for the course videos. Below is the errata for the 2nd week.

The format for the errata is as follows. The approximate time is in braces, then the mistranscribed word or phrase follows, followed by a hyphen, then followed by the correct word or phrase. Like this:

[time] mistranscribed word or phrase - correct word or phrase

video - Markov chains
[2:20] does - that

video - Markov chains and POS tags
[0:39] announce - nouns
[0:56] less - last
[2:53] announced - a noun
[3:14] These some - The sum

video - hidden Markov models
[2:47] end - N

video - calculating probabilities
[2:43] and the divisor - in the divisor
[2:48] shorts - short
[3:37] and nicely - a nicely

video - populating the transition matrix
[1:20] verbalize high cool - verbless haiku
[3:12] in lots - a lot
[3:21] high cools - haikus
[4:25] and a real - in a real

video - populating the emission matrix
[0:32] sags - tags
[0:49] stack - tag
[1:11] tax - tags
[1:27] non - noun
[1:46] be - P
[1:50] attack - tag
[1:57] rows in - row sum
[2:29] confuse - compute

video - Viterbi algorithm
[1:27] verb state NN - verb state VB (here the lecturer misspeaks)
[2:30] spot - path
[3:42] matrix B - matrix D

video - Viterbi: backward pass
[1:02] index as - index s
[4:19] t,i - t_i

video - week conclusion
[0:05] don’t - now
[0:16] target has - target task
[0:28] thing - team
[0:36] piers - tears
[0:55] how to complete - auto-complete

1 Like

There is a link at the bottom of the video pages for reporting transcript issues.

@Thomas_A_W

If you are facing any subtitle error, report it in the video itself.

I reported the transcription typos to Coursera using the links soon after your replies, but I received no reply and the transcript remains uncorrected.

1 Like

Thanks for all these notes!