[PDF] Top 20 New Parameterizations and Features for PSCFG Based Machine Translation
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New Parameterizations and Features for PSCFG Based Machine Translation
... 1 features to the transla- tion framework, where k ˆ is the maximum num- ber of PSCFG rule nonterminal pairs, in our case ...approach: Based on the rule’s span distribution, we compute the prob- ... See full document
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Learning New Semi Supervised Deep Auto encoder Features for Statistical Machine Translation
... designing new features based on intuition, linguistic knowledge and do- main, we have learned new features using the DAE for the phrase-based translation ...DAE ... See full document
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Incorporating Global Visual Features into Attention based Neural Machine Translation
... attention- based Neural Machine Translation (NMT) models which incorporate visual features into different parts of both the encoder and the ...image features are extracted using a ... See full document
12
A Smorgasbord of Features for Statistical Machine Translation
... of new features for scoring candidate ...statistical translation system is our baseline, and we add new features to the exist- ing set, which are then combined in a log-linear ...of ... See full document
8
An Empirical Comparison of Features and Tuning for Phrase based Machine Translation
... Extended features share three attractive characteris- tics with the standard Moses dense features (Koehn et ...the new feature templates are amenable to feature augmentation (Daumé III, 2007), a ... See full document
11
IPA and STOUT: Leveraging Linguistic and Source based Features for Machine Translation Evaluation
... of new metrics for different languages, aimed at eval- uating a translation from different ...(i) new shallow metrics, bor- rowed from Information Retrieval, were included to compare the candidate ... See full document
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Integrating Phrase based Reordering Features into a Chart based Decoder for Machine Translation
... tree- based translation addresses its limited hypothesis space ...add new rules into the Hiero system, Carreras and Collins (2009) apply the tree adjoining grammar formalism to al- low highly ... See full document
10
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 ... See full document
5
A Word Class Approach to Labeling PSCFG Rules for Machine Translation
... perform PSCFG rule extraction and decoding using the open-source “SAMT” system (Venugopal and Zollmann, 2009), using the provided implemen- tations for the hierarchical and syntax-augmented ...conditioned ... See full document
11
11,001 New Features for Statistical Machine Translation
... Our syntax-based system transforms source Chinese strings into target English syntax trees. Following previous work in statistical MT (Brown et al., 1993), we envision a noisy-channel model in which a lan- guage ... See full document
9
Tree Kernels for Machine Translation Quality Estimation
... chine Translation (SMT) system given the input text, the proposed translations and information about the models used by the SMT ...WMT Machine Transla- tion test sets, translated from English to Spanish ... See full document
5
Robust Machine Translation Evaluation with Entailment Features
... of translation quality with a model that attempts to comprehensively as- sess meaning equivalence between references and MT ...complementary features of both metric types can be combined into a joint, ... See full document
9
Multilingual Machine Translation approach based Systems and their Analysis : An Indian Perspective Harjit Singh
... for translation of documents from one language to a different ...promising translation work began within the early Nineteen Nineties thanks to advanced analysis in computer science and Computational ...the ... See full document
6
Machine Translation Evaluation with Textual Entailment Features
... the features that al- low good performance on the RTE task can also predict human judgments for MT ...these features should help us to differentiate meaning preserving translation variants from bad ... See full document
5
Hybrid Approaches to Improvement of Translation Quality in Web based English Korean Machine Translation
... Hybrid Approaches to Improvement of Translation Quality in Web based English Korean Machine Translation Hybrid Approaches to Improvement of Translation Quality in Web based English Korean Machine Tran[.] ... See full document
5
Paraphrasing Revisited with Neural Machine Translation
... We employ NMT as the backbone of our para- phrasing model. In its simplest form our model ex- ploits a one-to-one NMT architecture: the source English sentence is translated into k candidate foreign sentences and then ... See full document
13
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... 2006). Machine translation approaches are being presently ap- plied for GEC (Junczys-Dowmunt et ...a translation problem from the erroneous text to the correct text (Mizumoto et ... See full document
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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
Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers
... The focus of our conference was to use parallel corpora for machine translation. Recent experimentation has shown that the performance of SMT systems varies greatly with the source language. In this ... See full document
28
A Machine Translation System From Japanese Into English Based on Conceptual Structure
... A MACHINE TRANSLATION SYSTEM FROM JAPANESE INTO ENGLISH BASED ON CONCEPTUAL STRUCTURE A MACHINE TRANSLATION SYSTEM FROM JAPANESE INTO ENGLISH BASED ON CONCEPTUAL STRUCTURE Hiroshi Uchida and Kenji Sug[.] ... See full document
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