Megatron models can be translated into Danish, German, Greek, Spanish, Finnish, French, Hungarian, Italian, Lithuanian, Latvian, Dutch, Norwegian, Polish, Portuguese, Romanian, Russian, Slovak, Swedish, Chinese, Japanese, Hindi, Korean, Estonian, Slovenian, Bulgarian, Ukrainian, Croatian, Arabic, Vietnamese, Turkish, Indonesian, and Czech. Megatron models like en_any and any_en, which translates from English to 32 languages. Running bilingual models produces better quality translations compared to the current multilingual models. Use a bilingual model when you want the best possible performance for a specific language pair direction. Bilingual models have a single pair of language codes in their name. ![]() Running multilingual models prevents loading multiple models, therefore, preventing overhead.īilingual models like en_ru, which translates from English to Russian. Use a multilingual model if you need to support multiple languages or if you want to optimize resource utilization since you can translate along multiple language pairs without loading multiple bilingual models. Multilingual models have several language codes in their name. Multilingual models like en_deesfr, which translates from English to German, Spanish, and French. There are two different model architectures supported: Riva translation currently provides an API to translate to and from language pairs using models trained in NeMo Machine Translation. German (de), Spanish (es), French (fr) to English (en) The NVIDIA Riva translation service supports models for these language pairs:Įnglish (en) to German (de), Spanish (es), French (fr) Virtual Assistant (with Google Dialogflow) How to deploy a NeMo-finetuned NMT model on Riva Speech Skills server?īasics of Speech Recognition and Customization of Riva ASR How to fine-tune a Riva NMT Bilingual model with Nvidia NeMo How do I perform Language Translation using Riva NMT APIs with out-of-the-box models? How do I use Riva TTS APIs with out-of-the-box models?Ĭalculate and Plot the Distribution of Phonemes in a TTS Dataset The Making of the Riva Mandarin ASR Service Speech Recognition - New Language Adaptation How To Train, Evaluate, and Fine-Tune an n-gram Language Model How to Deploy a Conformer-CTC Acoustic Model with WFST Decoders Support for Class Based n-gram Language Models in Riva (WFST Decoder) How do I boost specific words at runtime with word boosting? How to Improve the Accuracy on Noisy Speech by Fine-Tuning the Acoustic Model (Conformer-CTC) in the Riva ASR Pipeline How to Improve Recognition of Specific Words How to Fine-Tune a Riva ASR Acoustic Model with NVIDIA NeMo How to Customize a Riva ASR Acoustic Model (Conformer-CTC) with Adapters How to Deploy a Custom Acoustic Model (Conformer-CTC) Trained with NeMo on Riva How to Deploy a Custom Acoustic Model (Citrinet) Trained with NeMo on Riva How to Deploy a Custom Language Model (n-gram) Trained with NeMo on Riva How to Customize Riva ASR Vocabulary and Pronunciation with Lexicon Mapping How do I use Riva ASR APIs with out-of-the-box models? Some translators don't list the device's battery life, but for those that do, opt for one with at least six hours' worth of juice when fully charged.How to Deploy Riva at Scale on AWS with EKS The last thing you want is a translator's battery dying on you while in a country where you don't speak the language. ![]() ![]() Conversely, a keyboard-based model might limit you when figuring out what others are saying. A voice-input translator might be your best bet if you’re primarily trying to translate conversations. Think about how you’re most likely to use an electronic translator. Be aware that the do-it-all types might not have quite the vocabulary range of dedicated models, but if you’re jet-setting all over, having a lot of the basics covered-versus buying a different translator for every language-might be ideal.ĭepending on how often you travel, you might want to weigh whether it’s better to splash out a bit more on a translator with better voice recognition and vocabulary or grab a budget model that covers the basics for a one-off adventure. Some translators can handle any language you throw at them (or, at least, quite a lot of them) others are equipped to handle one language only, like Chinese or Spanish. What to Look For in an Electronic Translator Language For a simple, light, and cost-effective option, reach for the Pulomi Easy Trans Device. Our top pick, the CM CheetahTalk Smart Translator, helps you bridge the gap in communication by way of AI technology and boasts an impressive battery life.
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