Improving Pre-Trained Multilingual Models with Vocabulary Expansion

Improving Pre-Trained Multilingual Models with Vocabulary Expansion

26 September 2019

Dian Yu

Papers citing "Improving Pre-Trained Multilingual Models with Vocabulary Expansion"

8 / 8 papers shown

Title
Monolingual and Multilingual Misinformation Detection for Low-Resource Languages: A Comprehensive Survey Xinyu Wang Wenbo Zhang Sarah Rajtmajer 29 1 0 24 Oct 2024
From Tokens to Words: On the Inner Lexicon of LLMs Guy Kaplan Matanel Oren Yuval Reif Roy Schwartz 41 12 0 08 Oct 2024
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect Jannis Vamvas Noëmi Aepli Rico Sennrich 27 0 0 25 Jan 2024
An Efficient Multilingual Language Model Compression through Vocabulary Trimming Asahi Ushio Yi Zhou Jose Camacho-Collados 39 7 0 24 May 2023
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages Ayyoob Imani Peiqin Lin Amir Hossein Kargaran Silvia Severini Masoud Jalili Sabet ... Chunlan Ma Helmut Schmid André F. T. Martins François Yvon Hinrich Schütze ALM LRM 29 95 0 20 May 2023
Unsupervised Domain Adaptation for Sparse Retrieval by Filling Vocabulary and Word Frequency Gaps Hiroki Iida Naoaki Okazaki 26 4 0 08 Nov 2022
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 165 1,630 0 11 Oct 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016