57 citations · 286 across the 33 of their papers we have counts for
33 papers
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation
Haiyue Song, Raj Dabre, Chenhui Chu +2
Sub-word segmentation is an essential pre-processing step for Neural Machine Translation (NMT). Existing work has shown that neural sub-word segmenters are better than Byte-Pair En…
Universal Multimodal Representation for Language Understanding
Zhuosheng Zhang, Kehai Chen, Rui Wang +4
Representation learning is the foundation of natural language processing (NLP). This work presents new methods to employ visual information as assistant signals to general NLP task…
Language Model Pre-training on True Negatives
Zhuosheng Zhang, Hai Zhao, Masao Utiyama +1
Discriminative pre-trained language models (PLMs) learn to predict original texts from intentionally corrupted ones. Taking the former text as positive and the latter as negative s…
Extending the Subwording Model of Multilingual Pretrained Models for New Languages
Kenji Imamura, Eiichiro Sumita
Multilingual pretrained models are effective for machine translation and cross-lingual processing because they contain multiple languages in one model. However, they are pretrained…
Smoothing Dialogue States for Open Conversational Machine Reading
Zhuosheng Zhang, Siru Ouyang, Hai Zhao +2
Conversational machine reading (CMR) requires machines to communicate with humans through multi-turn interactions between two salient dialogue states of decision making and questio…
YANMTT: Yet Another Neural Machine Translation Toolkit
Raj Dabre, Eiichiro Sumita
In this paper we present our open-source neural machine translation (NMT) toolkit called "Yet Another Neural Machine Translation Toolkit" abbreviated as YANMTT which is built on to…