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Adapting Monolingual Models: Data can be Scarce when Language Similarity
  is High

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High

6 May 2021
Wietse de Vries
Martijn Bartelds
Malvina Nissim
Martijn B. Wieling
ArXivPDFHTML

Papers citing "Adapting Monolingual Models: Data can be Scarce when Language Similarity is High"

5 / 5 papers shown
Title
Leveraging supplementary text data to kick-start automatic speech
  recognition system development with limited transcriptions
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions
Nay San
Martijn Bartelds
Blaine Billings
Ella de Falco
Hendi Feriza
Johan Safri
Wawan Sahrozi
Ben Foley
Bradley McDonnell
Dan Jurafsky
26
9
0
09 Feb 2023
Language Chameleon: Transformation analysis between languages using
  Cross-lingual Post-training based on Pre-trained language models
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models
Suhyune Son
Chanjun Park
Jungseob Lee
Midan Shim
Chanhee Lee
Yoonna Jang
Jaehyung Seo
Heu-Jeoung Lim
31
0
0
14 Sep 2022
Quantifying Language Variation Acoustically with Few Resources
Quantifying Language Variation Acoustically with Few Resources
Martijn Bartelds
Martijn B. Wieling
27
11
0
05 May 2022
Cross-lingual Transfer of Monolingual Models
Cross-lingual Transfer of Monolingual Models
Evangelia Gogoulou
Ariel Ekgren
T. Isbister
Magnus Sahlgren
31
18
0
15 Sep 2021
What the [MASK]? Making Sense of Language-Specific BERT Models
What the [MASK]? Making Sense of Language-Specific BERT Models
Debora Nozza
Federico Bianchi
Dirk Hovy
92
106
0
05 Mar 2020
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