We present the Multilingual TEDx corpus, built to support speech recognition (ASR) and
speech translation (ST) research across many non-English source languages. The corpus is …

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 the design and findings of the SIGMORPHON 2020 shared task on multilingual
grapheme-to-phoneme conversion. Participants were asked to submit systems which take in …

While there exist scores of natural languages, each with its unique features and
idiosyncrasies, they all share a unifying theme: enabling human communication. We may …

Abstract Grapheme-to-Phoneme (G2P) has many applications in NLP and speech fields.
Most existing work focuses heavily on languages with abundant training datasets, which …

We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—
words of common origin and meaning across languages. CogNet is continuously evolving …

A major hurdle in data-driven research on typology is having sufficient data in many
languages to draw meaningful conclusions. We present VoxClamantis v1. 0, the first large …

In this study, we tackle massively multilingual grapheme-to-phoneme conversion through
implementing G2P models based on ByT5. We have curated a G2P dataset from various …

Weighted finite-state transducers (WFSTs) are commonly used by engineers and
computational linguists for processing and generating speech and text. This book first …

We present a machine-readable structured data version of Wiktionary. Unlike previous
Wiktionary extractions, the new extractor, Wiktextract, fully interprets and expands templates …