[PDF] Top 20 A Sense Based Translation Model for Statistical Machine Translation
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A Sense Based Translation Model for Statistical Machine Translation
... Topic model for SMT Generic topic models are also explored for ...topic model and integrate a topic-specific lexicon translation model into ...topic model for translation and ... See full document
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Stream based Translation Models for Statistical Machine Translation
... Typical statistical machine translation sys- tems are trained with static parallel ...space-bounded model achieves the same performance with significantly less computational ... See full document
9
AN OVERVIEW OF COMPUTATIONAL LINGUISTICS AND MALAYALAM
... few machine translation systems are also developed in Malayalam for translating Malayalam to English and vice versa but these are not offered to the ...are based on Rule Based Machine ... See full document
6
A Multi Domain Translation Model Framework for Statistical Machine Translation
... of translation model features whose computation can be weighted, and n the number of model ...lation model perplexity on a set of phrase pairs, automatically extracted from a parallel develop- ... See full document
9
Post Editing System For Statistical Machine Translation
... few translation software are available in market but quality of these software are not up to the ...of translation from Hindi to ...for statistical based Hindi-Punjabi Translation ... See full document
6
A Hierarchical Phrase Based Model for Statistical Machine Translation
... because it creates spurious ambiguity—a situation where the decoder produces many derivations that are distinct yet have the same model feature vectors and give the same translation. This can result in n- ... See full document
8
On Statistical Machine Translation and Translation Theory
... instance, based on observational evidence from the training corpus, an SMT system might translate an active sentence in the input with a passive sentence in the output, or a personal con- struction in the SL with ... See full document
5
Word Sense Disambiguation vs Statistical Machine Translation
... word sense disambiga- tion models help statistical machine trans- lation quality? We present empirical re- sults casting doubt on this common, but unproved, ...word sense disambigua- tion ... See full document
8
Word Sense Disambiguation Improves Statistical Machine Translation
... Using the MT 2002 test set, we ran the minimum- error rate training (MERT) (Och, 2003) with the decoder to tune the weights for each feature. The weights obtained are shown in the row Hiero of Table 2. Using these ... See full document
8
Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation
... evaluate statistical machine translation models on a WSD task, in terms of standard WSD accuracy ...of machine translation quality ...SMT model with state-of-the-art WSD models ... See full document
6
Bilingual Machine Translation Using RNN Based Deep Learning Janhavi R. Chaudhary 1, Prof. Ankit C. Patel2
... neural machine translation doesn’t require predefined ...Neural Machine Translation is to build a fully trainable model of which every component is trained and tuned together using ... See full document
5
A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document
8
Can SMT and RBMT Improve each other’s Performance? An Experiment with English Hindi Translation
... the translation model authors allow the re- estimation of reordering models to improve ac- curacy of translated ...word sense disambiguation helps to improve the performance of a SMT ...language ... See full document
10
Using Sense labeled Discourse Connectives for Statistical Machine Translation
... lows. Based on a small dictionary of the five con- nective types of Table 2, their acceptable French equivalents and the possible senses, the initial phrase table is searched for phrases containing a connective ... See full document
10
Dependency Based Statistical Machine Translation
... score based on a weighted sum of the counts of matching n-grams, along with a penalty for a significant dif- ference in length between the system output and the reference translation closest in ...the ... See full document
6
Bilingual Sense Similarity for Statistical Machine Translation
... There are two cases where no context word can be extracted according to the definition of con- text in Section 3.1. The first case is when a rule pair is always a full sentence-pair in the training data. The second case ... See full document
10
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... Reordering model is important for the sta- tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This ... 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
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... augmented statistical machine translation model from Bulgarian to English, which combines a statistical machine translation (SMT) system (as backbone) with deep lin- ... See full document
10
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) ... See full document
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