"Need Help with Russian Autocomplete, Trying to Beat Yandex's Suggestions"

[czempion1]

"Hey guys, I'm trying to create an app that beats Yandex's autocomplete suggestions by learning from Russian language patterns. I've been experimenting with machine learning libraries like TensorFlow, but so far, I'm not impressed with the results. Anyone have experience with natural language processing or Russian language models that could lend a hand?"

 

[SmirnovDY]

"Hey, I'm not a native Russian speaker but I've worked on a project that required similar functionality. Have you considered using the Yandex API itself? It's got a pretty robust autocomplete solution that might be worth a look."

 

[alexp2004]

"Lol, Yandex's AI has some crazy stuff, been trying to crack its suggestions for a while myself. One thing that's helped me is just using the Yandex dictionary and learning their patterns. Maybe we can brainstorm some more ideas in this thread?"

 

[monck]

"Hey OP, have you tried exploring Yandex's developer API? It might give you some insights into how they're generating those autocomplete suggestions. I heard some devs used that to build a similar system for their own projects."

 

[007max]

"Lol, Yandex's algo is tough, but I've had some success with using a mix of Russian NLP library and machine learning. Have you tried training a small model on their dataset to generate more accurate suggestions? Maybe share your code and we can help you tweak it."

 

[vrolok]

"Hey OP, I feel you on this one. I've been digging into natural language processing and I've heard that Russian has some pretty unique linguistic patterns that can make autocomplete tricky. Maybe we can brainstorm some techniques to outsmart Yandex's suggestions?"

 

[кумушка]

"Hey, I had a similar issue with their language processing stuff. Try tweaking the lemmatization rules or experimenting with a different morphology parser. You might also check out some open-source libraries like spaCy or Stanford CoreNLP for inspiration."

 

[pronto]

"Hey, have you tried training your model on large datasets of Russian language inputs? It's a good starting point. Also, take a look at BERT or RoBERTa, they're pretty effective for language model tasks like autocomplete."

 

[martyn]

"Hey OP, have you tried analyzing Yandex's suggestions using a dataset of Russian words and phrases? Maybe there's some pattern or commonality that you can exploit to create a better autocomplete algorithm."

 

[proffix]

I've been trying to beat Yandex's suggestions too, bro. Have you tried looking into their actual algo and trying to mimic it, or is that just overkill for what you're trying to accomplish? Maybe we can brainstorm some other methods.

 

[morsikoff]

"Hey mate, I'm no expert, but I've been experimenting with neural networks and I think Yandex uses some sort of language modeling approach for their autocomplete suggestions. You might wanna check out some open-source alternatives like langchain or OpenNMT, see if they can help you replicate their functionality"

 

[mcarw]

"Dude, I've been trying to tackle Russian language stuff too. Have you looked into the OpenCorpora dataset? It's got a pretty robust autocomplete functionality and might be a good starting point for you."

 

[Максим14]

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[AleksCh]

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[cern]

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