Using blenderbot for other language

[Parvez2017]

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Is there any work going on to use Blenderbot for dialogue generation for other languages like Korean and Japanese?

I am trying to implement the Blenderbot strategy to train a model on Korean language. Can I retrain Blenderbot from scratch?

Is there any implementation idea for Blenderbot in other language?

Please help me out.

[stephenroller]

I've been working with a MS student who's been doing French. It works okay just fine tuning on French data. Korean probably wouldn't work that well though. You'd need to train a new model from scratch on that or similar.

mBART might be more up your alley for this.

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[Hilal-Urun]

hi @stephenroller :) I want to ask about Turkish language :) I want to fine tune on Turkish data, could you guide like which model is more suitable for this purpose ? Thanks for your time

[stephenroller]

My student and I had success with french with the blenderbot 90M model, but that was somewhat chosen for resource constraint reasons. I would suggest giving BlenderBot400 or larger a shot, or otherwise try -m hugging_face/gpt2.

[stephenroller]

-m bart could also work well. We looked into porting mBART but never got around to it. The main thing is we need someone to add SentencePiece tokenization to ParlAI.

[Hilal-Urun]

Okey, Thanks a lot for your response, I got it and I'm gonna try for Turkish with adding turkish tokenizer :) @stephenroller

[Hilal-Urun]

@stephenroller I want to use hugginface tokenizer that has usage like;
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-turkish-cased")
Where can I place this function? Could you guide me please :)
İf I just add a tr_tokenize func

ParlAI/parlai/core/dict.py

Lines 391 to 402 in d191b80

	def nltk_tokenize(self, text, building=False):
	"""
	Tokenize using NLTK PunktTokenizer.
	Uses nltk-trained PunktTokenizer for sentence tokenization and Treebank Word
	Tokenizer for tokenizing words within sentences.
	"""
	return (
	token
	for sent in self.sent_tok.tokenize(text)
	for token in self.word_tok.tokenize(sent)
	)

like that , does it work? For example ;

def tr_tokenize(self,text):
self.tr_tokenizer=tr_tokenizer
return self.tr_tokenizer.tokenize(text)

[lh0x00]

hi @stephenroller, can you suggest some steps need to train a blenderbot with other languages such as vietnamese, japanese,... ? or suggest other agents for this task?

[lh0x00]

Ref, #2830 (comment)
I having a vietnamese dataset and I want to learn about blenderbot.

[Hilal-Urun]

hi again @stephenroller when I tried to fine tune bart model with turkish wikipedia data it gives error like
RuntimeError: CUDA error: device-side assert triggered

[stephenroller]

That usually happens when you have an out-of-bounds error on one of your embedding inputs. Could be either position embeddings (your truncate arguments are too long) or embeddings (something is wrong with the dict)

[Hilal-Urun]

okey I am gonna check it again