DeepAI AI Chat
Log In Sign Up

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

06/03/2014
by   Kyunghyun Cho, et al.
0

In this paper, we propose a novel neural network model called RNN Encoder-Decoder that consists of two recurrent neural networks (RNN). One RNN encodes a sequence of symbols into a fixed-length vector representation, and the other decodes the representation into another sequence of symbols. The encoder and decoder of the proposed model are jointly trained to maximize the conditional probability of a target sequence given a source sequence. The performance of a statistical machine translation system is empirically found to improve by using the conditional probabilities of phrase pairs computed by the RNN Encoder-Decoder as an additional feature in the existing log-linear model. Qualitatively, we show that the proposed model learns a semantically and syntactically meaningful representation of linguistic phrases.

READ FULL TEXT

page 14

page 15

09/14/2016

Neural Machine Transliteration: Preliminary Results

Machine transliteration is the process of automatically transforming the...
03/22/2017

Classification-based RNN machine translation using GRUs

We report the results of our classification-based machine translation mo...
09/02/2019

Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation

Reduction of training time is an important issue in many tasks like pate...
10/04/2022

Public Transit Arrival Prediction: a Seq2Seq RNN Approach

Arrival/Travel times for public transit exhibit variability on account o...
07/17/2018

Comparison of RNN Encoder-Decoder Models for Anomaly Detection

In this paper, we compare different types of Recurrent Neural Network (R...
06/15/2016

A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation

Interlingua based Machine Translation (MT) aims to encode multiple langu...
07/27/2017

Learning Audio Sequence Representations for Acoustic Event Classification

Acoustic Event Classification (AEC) has become a significant task for ma...

Code Repositories

keyword_spotting

Chinese keyword spotting model using LSTM RNN


view repo

lowrank-gru

Gated Recurrent Unit with Low-rank matrix factorization


view repo

sequence-translation

RNN encoder/decoder model for sequence translation


view repo

SequenceToSequenceLearning

Sequence to Sequence学习简述


view repo

Fake-News-Challenge

Machine Learning in fighting fake news


view repo