[PDF] Top 20 Feature Based Decipherment for Machine Translation
Has 10000 "Feature Based Decipherment for Machine Translation" found on our website. Below are the top 20 most common "Feature Based Decipherment for Machine Translation".
Feature Based Decipherment for Machine Translation
... learn translation model parameters, when parallel data are limited or unavailable (Koehn and Knight 2000; Ravi and Knight 2011; Dou, Vaswani, and Knight ...its translation is likely to appear frequently in ... See full document
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Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
... We have released this data for future research use. For English, we have 2.4 billion tokens from the Gigaword corpus. Since the Malagasy monolingual data is col- lected from local websites, it is reasonable to argue that ... See full document
9
Learning Non linear Features for Machine Translation Using Gradient Boosting Machines
... context based on whether an input fea- ture’s value was smaller than a determined ...induce feature combinations for machine transla- tion, which do not increase the decoding complex- ...original ... See full document
6
LSTM Neural Reordering Feature for Statistical Machine Translation
... In Table 4 and 5, we can see that though we add a strong hierarchical phrase-based reordering model in the baseline, our model can still bring a maximum gain of 0.59 BLEU score, which suggest that our model is ... See full document
6
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) that ... See full document
8
Modeling Selectional Preferences of Verbs and Nouns in String to Tree Machine Translation
... preference feature for string-to-tree statistical machine translation based on the selectional association measure of Resnik ...the feature with source side infor- mation such as the ... See full document
11
Local System Voting Feature for Machine Translation System Combination
... In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network. This work is moti- vated by the fact that the commonly used binary system ... See full document
10
Source side Preordering for Translation using Logistic Regression and Depth first Branch and Bound Search
... for machine translation based on a feature- rich logistic regression model to predict whether two children of the same node in the source-side parse tree should be swapped or ... See full document
10
A Semantic Feature for Statistical Machine Translation
... tional feature in the log-linear combination (Och & Ney, 2002) of models of a phrase-based translation ...a feature, which is dynamic in the sense that depends on the input sentence to be ... See full document
9
Scalable Decipherment for Machine Translation via Hash Sampling
... estimating translation mod- els from scratch using only monolingual ...new feature-based repre- sentation for sampling translation candidates that allows one to incorporate any amount of ... See full document
10
Dependency Based Decipherment for Resource Limited Machine Translation
... We use the Gigaword corpus for our decipherment experiments. The corpus contains news articles from different news agencies and is available in Spanish and English. We use only the AFP (Agence France- Presse) ... See full document
9
NAVER Machine Translation System for WAT 2015
... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based statistical ... See full document
5
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... WER is the lowest (7.64 % for ICNALE) and the highest (20.86 % for JFLEG). Transformer and LSTM outperform all the other models in the highest and the lowest error-rated corpora, respec- tively. Experimental results show ... See full document
6
Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand
... This was demonstrated in the UK at Bristol University. English, Japanese and Turkish speakers witnessed a carton where Sylvester the cat swallows a bowling ball and rolls down a hill. Each person was then asked to ... See full document
181
An Efficient Execution Method for Rule Based Machine Translation
... An Efficient Execution Method for Rule Based Machine Translation An Efficient Execution Method for Rule Based Machine Translation Hiroyuki KAJI Systems Development Laboratory~ Hitachi Ltdo 1099 Ohzenj[.] ... See full document
6
Multilingual Machine Translation approach based Systems and their Analysis : An Indian Perspective Harjit Singh
... India could be a multilingual country wherever it is said that the oral communication changes at each fifty miles. There are 22 official languages; and close to 2000 dialects are spoken by totally different communities ... See full document
6
Design and Implementation of Consecutive Interpreting System Based on Transformer NMT Model
... for translation. After the translation result return, the local terminal will transmit the bilingual sentence pair to the subtitle display program on the desktop of the computer, who displays the subtitles ... See full document
8
Statistical machine translation based on translation rules
... Statistical machine translation is also called data-driven translation in which leaning technology is automatically ...rule-based machine translation uses rules to express ... See full document
8
Instance Selection for Machine Translation using Feature Decay Algorithms
... in transductive learning and decreases human ef- fort by identifying the most informative sentences for translation as in active learning. Instance se- lection in a transductive learning framework se- lects the ... See full document
12
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL 2010 in Uppsala, Sweden, EMNLP 2011 in Edinburgh, Scotland, ... See full document
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