We describe an online handwriting system that is able to support 102 languages using a
deep neural network architecture. This new system has completely replaced our previous …

Large text corpora are increasingly important for a wide variety of Natural Language
Processing (NLP) tasks, and automatic language identification (LangID) is a core technology …

We describe an open-source dataset providing metadata for about 2,800 language varieties
used in the world today. Specifically, the dataset provides the attested writing system (s) for …

We introduce new monolingual corpora for four indigenous and endangered languages
from Peru: Shipibo-konibo, Ashaninka, Yanesha and Yine. Given the total absence of these …

This technical report describes our deep internationalization program for Gboard, the
Google Keyboard. Today, Gboard supports 900+ language varieties across 70+ writing …

We introduce Independently Recurrent Long Short-term Memory cells: IndyLSTMs. These
differ from regular LSTM cells in that the recurrent weights are not modeled as a full matrix …

When building automatic speech recognition (ASR) systems, typically some amount of audio
and text data in the target language is needed. While text data can be obtained relatively …

We describe a new approach to converting written tokens to their spoken form, which can be
shared by automatic speech recognition (ASR) and text-to-speech synthesis (TTS) systems …

We discuss two methods that let us easily create grapheme-tophoneme (G2P) conversion
systems for languages without any human-curated pronunciation lexicons, as long as we …

End-to-end models for speech recognition and speech synthesis have many benefits, but we
argue they also face a unique set of challenges not encountered in conventional multi-stage …