activity
20202023
most citedBuilding Machine Translation Systems for the Next Thousand Languages

43 citations · 58 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2023

Multimodal Modeling For Spoken Language Identification

Shikhar Bharadwaj, Min Ma, Shikhar Vashishth +10

Spoken language identification refers to the task of automatically predicting the spoken language in a given utterance. Conventionally, it is modeled as a speech-based language ide…

cs.CL2022★ 2 cited

Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning

Sandy Ritchie, You-Chi Cheng, Mingqing Chen +4

Almost none of the 2,000+ languages spoken in Africa have widely available automatic speech recognition systems, and the required data is also only available for a few languages. W…

eess.AS2022★ 12 cited

Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data

Alëna Aksënova, Zhehuai Chen, Chung-Cheng Chiu +8

Building inclusive speech recognition systems is a crucial step towards developing technologies that speakers of all language varieties can use. Therefore, ASR systems must work fo…

cs.CL2022★ 43 cited

Building Machine Translation Systems for the Next Thousand Languages

Ankur Bapna, Isaac Caswell, Julia Kreutzer +21

In this paper we share findings from our effort to build practical machine translation (MT) systems capable of translating across over one thousand languages. We describe results i…

cs.CL2022★ 1 cited

XTREME-S: Evaluating Cross-lingual Speech Representations

Alexis Conneau, Ankur Bapna, Yu Zhang +16

We introduce XTREME-S, a new benchmark to evaluate universal cross-lingual speech representations in many languages. XTREME-S covers four task families: speech recognition, classif…

cs.CL2022

Handling Compounding in Mobile Keyboard Input

Andreas Kabel, Keith Hall, Tom Ouyang +3

This paper proposes a framework to improve the typing experience of mobile users in morphologically rich languages. Smartphone keyboards typically support features such as input de…

cs.CL2021

Mining Large-Scale Low-Resource Pronunciation Data From Wikipedia

Tania Chakraborty, Manasa Prasad, Theresa Breiner +2

Pronunciation modeling is a key task for building speech technology in new languages, and while solid grapheme-to-phoneme (G2P) mapping systems exist, language coverage can stand t…

cs.CL2020

Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus

Isaac Caswell, Theresa Breiner, Daan van Esch +1

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 nee…