[PDF] Top 20 Sampling Alignment Structure under a Bayesian Translation Model
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Sampling Alignment Structure under a Bayesian Translation Model
... phrase alignment models, approximating infer- ence consistently and efficiently while avoiding de- generate ...for model initialization and smoothing, rather than inference and ...machine translation ... See full document
10
Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling
... the Structure MCMC algorithm that uses the Metropolis-Hastings algorithm in the space of ...the Structure MCMC the mix- ing and convergence of the Markov chain and to outperform the bootstrap approach of ... See full document
54
Bayesian Subtree Alignment Model based on Dependency Trees
... sequential alignment models work well for similar language pairs, but they are quite inadequate for distant language ...a Bayesian subtree alignment model that in- corporates dependency ... See full document
9
Modeling with Structures in Statistical Machine translation
... It has the following advantages over word-based alignment: • Since the translation model can directly depict phrase reordering in translation, it is more accurate for translation between[r] ... See full document
7
A Bayesian model for joint word alignment and part of speech transfer
... word alignment require considerable amounts of parallel text to deliver ac- curate results, a requirement which is met only for a small minority of the world’s approximately 7,000 ...word alignment and ... See full document
10
Sampling-based Multilingual Alignment
... the sampling-based approach does not link words, as would statistical models ...first alignment of Table 1, one would expect En- glish “loud” to link to French “vifs,” and “applause” to ...a ... See full document
5
Guiding Statistical Word Alignment Models With Prior Knowledge
... Notice that a target word f is generated from a source state e by a simple lookup of the translation table, a.k.a., t-table t(f |e), as depicted in (A) of Fig- ure 1. To incorporate prior knowledge or impose ... See full document
8
Automatic Translation Template Acquisition Based on Bilingual Structure Alignment
... phrase translation lexicons [Shin et ...of translation templates, which are especially useful for machine ...learn translation templates. By grouping similar translation examples and replacing ... See full document
26
Improving Sampling-based Alignment by Investigating the Distribution of N-grams in Phrase Translation Tables
... Phrase translation tables play an important role in the process of building machine translation ...of translation table, which identifies the relations between words or phrases in the source language ... See full document
10
An Infinite Hierarchical Bayesian Model of Phrasal Translation
... Table 3 shows the BLEU scores for the three trans- lation tasks UR/AR/FA → EN based on our method against the baselines. For our models, we report the average BLEU score of the 5 independent runs as well as that of the ... See full document
11
A Tree Sequence Alignment based Tree to Tree Translation Model
... noisy-channel model to transfer a target parse tree into a source ...tion model based on a probabilistic synchronous dependency insertion ...translation model. Cowan et al. (2006) propose a ... See full document
9
Structure Discovery in Bayesian Networks by Sampling Partial Orders
... chosen Bayesian model fits the data, say in comparison to some alternative model, then the key quantity is the marginal likelihood of the model—also known as the integrated likelihood, ... See full document
47
Bayesian Word Alignment for Statistical Machine Translation
... language model (LM) ...cluding alignment symmetrization and log-linear model tuning) using Moses (Koehn et ...for Bayesian inference ... See full document
6
Sampling based Alignment and Hierarchical Sub sentential Alignment in Chinese–Japanese Translation of Patents
... 1993) and HMM alignment models (Vogel et al., 1996), which are typical implementation of the EM algorithm (Dempster et al., 1977), are the most widely used representatives in this category. GIZA++ (Och and Ney, ... See full document
8
Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... reordering model for phrase-based statistical ma- chine translation using a deep neural ...reordering model is suc- cessful to solve the first and second problems but fails to address the third ... See full document
10
Improving Statistical MT through Morphological Analysis
... machine translation is described by Lee ...Arabic-English translation takes as input POS-tagged English and Arabic text, where the Arabic words have been pre-segmented into stems and ...tial ... See full document
8
Sampling the Variance-Covariance Matrix in the Bayesian Multivariate Probit Model
... Lui (2001) proposes an algorithm to sample Σ directly from its conditional posterior. However, the algorithm relies on the specification of an improper prior for the covariance matrix and restricts each equation to ... See full document
13
Redundancy Detection in ESL Writings
... computational model of ...the translation outputs with IBM Models, redundancies can be measured by a lin- ear combination of a language model score and the words’ contribution to the sentence’s mean- ... See full document
9
Tree to String Alignment Template for Statistical Machine Translation
... distortion model d, a trigram language model lm, phrase translation probabili- ties φ(f |e) and φ(e|f), lexical weightings lex(f |e) and lex(e|f ), phrase penalty pp, and word penalty ... See full document
8
Spoken Term Discovery for Language Documentation using Translations
... The CALLHOME Spanish Speech dataset (LDC2014T23) with English translations (Post et al., 2013) has been used in almost all ground- laying previous work, treating Spanish as a low-resource language. As a collection of ... See full document
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