Useful Sentences In English Pdf

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Hilma Kolin

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Aug 3, 2024, 4:01:10 PM8/3/24
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One of my understanding was, my reviews belongs to specific domain. For example my product belong to credit card domain & all reviews revolving around this singl domain. Further, I tried to plot word distribution and found that most frequently use word is just around 2% of total population.

The overlapping is not necessarily a function of your input (documents or sentences) but could well be the result of your hyperparameter choices. For example, you could choose lower alpha to have less overlap over topics.

In practice, a high alpha-value will lead to documents being more similar in terms of what topics they contain. A high beta-value will similarly lead to topics being more similar in terms of what words they contain.

Meduzy nie bieskie i rżowe kołysały się jak kwiaty o grubych i miękkich koronach.
Słyszał jej mruczenie bulgocące cicho w gardle, jak.
Chce czegoś bardzo, tylko narazie nie wie czego.
Czekam, aż obrazy podniosą się przede mną, jak przed zaklinaczem wężę.
Wszyscy trzej towarzysze za jej przykładem zerwali po tataraku i gryząc wilgotne

All of these were approved by the same people through sentence collector. My concern here is that it may have been some sort of blanket approval without really reading sentences, as about two weeks ago I remember the sentences suddenly being approved at a very high rate.

On this very page it says that the work is published under CC BY 3.0 PL. I am not sure, but I believe Creative Commons are not something that falls under the term of public domain. There are 479 sentences which list the same page as the source. Checking through other sentences that list polona.pl as source I found 1584 sentences which are licensed under CC BY 3.0 PL.

CC-BY-3.0 is definitely not a license these sentences should be licensed under, only permittable license is CC-0 or equivalent. If you could provide the list of all the sentences you found were provided under wrong license (ideally sentence per line), or at least the data of the specific imports (author and source), it would be immensely helpful.

I was absent for some time and was quite surprised to see such jump in polish sentence-base. I still have quite a lot sentences I parsed from wolnelektury.pl sometime ago and not uploaded them yet. Do You think it is still worth uploading them @Scarfmonster? I can also throw them on github so someone else can do it in parallel. I will try to check the wiki scrip this weekend @nukeador when I get some time for it.

If we expect similar flows of people in the short term, we should try to get the wikipedia extraction done sooner to avoid people recording the same sentence more than once (which is not really useful for STT model training)

Here is the thread, might be good to collect all the feedback (over 180 comments):
Wykop.pl pomżmy Mozilli wytrenować AI rozpoznające polską mowęod niedawna jest możliwość trenowania DeepSpeech dla języka polskiego. Niestety jeśli chodzi o ilość osb uczestniczących w programie jesteśmy daleko w tyle nawet za egzotycznymi językami. Wystarczy poświęcić kilka minut na odsłuchanie lub nagranie...

The abbreviation_patterns list needs expanding because it is missing a lot of abbreviations which do not end with a period, along with 3+ letter ones. It should have all other types of abbreviations handled though.

I forked git repo provided by @Scarfmonster and tried the scrapping. It did pretty well as for first try. I removed ( and ) from allowed symbols as many sentences seemed broken by those (i.e. some details in the middle of sentence surrounded with parenthesis). I will run blacklist operations overnight and will put word statistics in forked repo if the file will be of reasonable size. @Scarfmonster should we make separate topic for work on polish extractor settings? I noticed also this topic: Using the Europarl Dataset with sentences from speeches from the European Parliament - Common Voice - Mozilla Discourse - for future reference.

Hey @Scarfmonster Polish has now recorded 100 hours with many repetitions. Are you still working on the Wikipedia export? I think in a situation like this it would be better to import quickly and remove bad sentences afterwards.

When you visit Italy, these are the most common words and phrases that will demonstrate you have made some effort to speak the local language. Learning these useful Italian words will help you talk to all manner of people during your trip.

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From his point of view, the list of sentences loses it since it is shown sentence by sentence and he prefers to show it all together.His suggestion was to move the title of the section to the bottom and use the space above to show the sentences in a kind of box.This is what I came up with (which I personally find horrible):

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