Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation

31 August 2018

Papers citing "Beyond Weight Tying: Learning Joint Input-Output Embeddings for Neural Machine Translation"

10 / 10 papers shown

Title
Dotless Representation of Arabic Text: Analysis and Modeling Maged S. Al-Shaibani Irfan Ahmad 27 0 0 26 Dec 2023
Using Sequences of Life-events to Predict Human Lives Germans Savcisens Tina Eliassi-Rad L. K. Hansen L. Mortensen Lau Lilleholt Anna Rogers Ingo Zettler Sune Lehmann AI4TS 57 37 0 05 Jun 2023
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation Di Wu Christof Monz 47 9 0 23 May 2023
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations Baikjin Jung Myungji Lee Jong-Hyeok Lee Yunsu Kim 30 1 0 17 May 2023
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling Zhijun Wang Xuebo Liu Min Zhang 35 11 0 23 Nov 2022
Improving Low Compute Language Modeling with In-Domain Embedding Initialisation Charles F Welch Rada Mihalcea Jonathan K. Kummerfeld AI4CE 26 4 0 29 Sep 2020
Deep Residual Output Layers for Neural Language Generation Nikolaos Pappas James Henderson 26 7 0 14 May 2019
GILE: A Generalized Input-Label Embedding for Text Classification Nikolaos Pappas James Henderson AI4TS AILaw VLM 27 79 0 16 Jun 2018
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015