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[Reported by brauchinet on the Wall](https://tatoeba.org/eng/wall/show_message/34246#!#message_34246)
> Now there is an option "only show original sentences" on the user's sentence page. That's gre…
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Hi. I was able to train an italian model almost perfectly with the exception of few words that are intrinsecally ambiguous without context. Since your model is similar to the bert transformer what do …
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Hi @danflick , I am playing again with the SICK dataset [1] of text entailment. I processed all sentences with ERG, asking for at most ten analyses. The following sentences are the only ones that ER…
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Feature names have been a bit ad-hoc up to this point and we have acquired some inconsistencies.
| Format | Time-aligned | Non-time-aligned |
|---|---|---|
| ELAN | `alignment:startime`, `alignme…
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### 💡 Summary
Since Thai can omit punctuation marks, sentence separation relies on spacing and context (even commas are rarely used unless absolutely necessary).
According to this attached pictu…
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The following ring classes also seem to be equational/formed by elementary sentences, but are not marked yet.
Note that 0, 1 and inverses of elements are described using elementary sentences that onl…
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- Hello:
1. 안녕하세요
- Thank you:
1. 감사합니다
- Got it:
1. 알겠습니다
- Yes:
1. 네넵
- Sorry:
1. 죄송합니다
2. 미안합니다 (미안해요, 미안해)
phymo updated
3 years ago
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![image.png](https://raw.githubusercontent.com/joshuan98/pe/main/files/b11ce734-8f15-49a3-8db8-6425f6cdd54c.png)
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Is there a decoder for generating sentences near(semantically) to a given sentence X?
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The small kanzi icon shows examples but when I open it up in aedict, often the examples disappear for some reason
![screenshot_20180618-165847](https://user-images.githubusercontent.com/40373139/4…