Phrase Based Language Model For Statistical Machine Translation

01/18/2015
by   Jia Xu, et al.
0

We consider phrase based Language Models (LM), which generalize the commonly used word level models. Similar concept on phrase based LMs appears in speech recognition, which is rather specialized and thus less suitable for machine translation (MT). In contrast to the dependency LM, we first introduce the exhaustive phrase-based LMs tailored for MT use. Preliminary experimental results show that our approach outperform word based LMs with the respect to perplexity and translation quality.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/21/2015

Phrase Based Language Model for Statistical Machine Translation: Empirical Study

Reordering is a challenge to machine translation (MT) systems. In MT, th...
research
08/10/2015

Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages

Previous studies have shown that health reports in social media, such as...
research
12/02/2019

Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition

Building conversational speech recognition systems for new languages is ...
research
12/11/2021

Prosody Labelled Dataset for Hindi using Semi-Automated Approach

This study aims to develop a semi-automatically labelled prosody databas...
research
03/04/2021

An empirical analysis of phrase-based and neural machine translation

Two popular types of machine translation (MT) are phrase-based and neura...
research
02/15/2023

Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation

Large language models (LLMs) demonstrate remarkable machine translation ...
research
02/06/2017

A Hybrid Approach For Hindi-English Machine Translation

In this paper, an extended combined approach of phrase based statistical...

Please sign up or login with your details

Forgot password? Click here to reset