smt | Synced

by Synced 2019-01-02 2

Tsinghua University Publishes Comprehensive Machine Translation Reading List

Tsinghua Natural Language Processing Group (THUNLP) has published a great reading list for any budding AI researchers whose New Year’s resolution is to study machine translation. The list compiles the most influential machine translation papers from the past 30 years, spotlighting the 10 most important contributions to the development of machine translation.

by Synced 2017-12-09 0

Research

Guided Alignment Training for Topic-Aware Neural Machine Translation

The author uses a hard-attention (Viterbi alignment matrix) of the SMT (Statistical Machine Translation) to help learn a better alignment matrix in NMT during the training.

by Synced 2017-08-17 1

Global News Research

History and Frontier of the Neural Machine Translation

Compared to SMT, NMT can train multiple features jointly and does not need prior domain knowledge, enabling zero-shot translation. In addition to higher BLEU score and better sentence structure, NMT can also help reduce morphology errors, syntax errors, and word order errors of SMT.

by Synced 2017-07-07 0

Research

Exploiting Source-side Monolingual Data in Neural Machine Translation

Instead of exploring target-side monolingual data for NMT, the author of this paper proposes two novel methods for source-side monolingual data exploration.