[PDF] Top 20 A Probability Model to Improve Word Alignment
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A Probability Model to Improve Word Alignment
... bility model is most similar to the explicit noise model defined in (Melamed, ...a probability distribution P (links(u, v)|cooc(u, v), λ + , λ − ) which appears to make our work ...the ... See full document
8
Online Reviews Based on the Word Alignment Model
... standard word alignment models are often trained in a completely unsupervised manner, which results in alignment quality that may be ...can improve alignment quality by using ... See full document
9
Opinion Word and Opinion Target Extraction using Semi-Supervised Word Alignment Model
... Opinion mining has become an increasing activity in web. Having right product information about a product is important to present before the right customer. With rapid development of web, a huge number of product reviews ... See full document
5
An Unsupervised Probability Model for Speech to Translation Alignment of Low Resource Languages
... a model that combines Dyer et al.’s reparam- eterization of IBM Model 2 (fast_align) and k-means clustering using Dynamic Time Warping as a distance ...our model performs significantly better than ... See full document
9
Hidden Markov Tree Model for Word Alignment
... unsupervised word alignment model based on the Hidden Markov Tree (HMT) ...Our model assumes that the alignment variables have a tree structure which is isomorphic to the target ... See full document
9
Research on Deep Learning HMM Word Alignment
... This model is trying to combine a multi-layer neural network with an undirected probabilistic graphic, and use the word similarity and the context information to have a more accurate ...massive word ... See full document
5
A Discriminative Neural Model for Cross Lingual Word Alignment
... on alignment quality. We introduce a novel alignment module that learns to produce high-quality alignments after training on ...Transformer model (Vaswani et ...our model yields major ... See full document
11
Arabic-English Semantic Word Class Alignment to Improve Statistical Machine Translation
... from word alignments generated by GIZA++ (Och and Ney, ...translation model pro- vides direct and inverted frequency-based and lexical-based probabilities for each phrase ...language model for the ... See full document
9
A Bayesian model for joint word alignment and part of speech transfer
... for 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 ...performing ... See full document
10
Statistical Phrase Alignment Model Using Dependency Relation Probability
... a model which uses a source side dependency tree structure and constructs a discrim- inative ...its alignment unit is a word, so it can only find one- to-one ...a model focusing on the ... See full document
9
Feature Rich Two Stage Logistic Regression for Monolingual Alignment
... formulate alignment as a binary classification task where given all word pairs across two sentences, the goal is to assign each a class la- bel in {aligned, not ...each word pair can be treated ... See full document
11
Improved Word Alignment Using a Symmetric Lexicon Model
... We improve the well-known IBM alignment models, as well as the Hidden-Markov alignment model using a symmetric lex- icon ...lexicon model. The standard lexicon model is based on ... See full document
7
Discriminative Word Alignment with a Function Word Reordering Model
... trained model outper- forms baseline unsupervised models like ...discriminative model one by one, starting with the orientation models, then the pairwise dominance model and finally the bor- derwise ... See full document
11
Context Dependent Alignment Models for Statistical Machine Translation
... context-dependent Model 1 and HMM alignment models, which use context information in the source language to improve estimates of word- to-word translation ...source word contexts ... See full document
9
Improving IBM Word Alignment Model 1
... of Model 1, but in fact, we can implement it without any additional model parameters by the simple ex- pedient of multiplying all the translation probabili- ties for the null word by the number of ... See full document
8
Alignment Model Adaptation for Domain Specific Word Alignment
... Word alignment was first proposed as an intermediate result of statistical machine translation (Brown et ...to improve word alignment (Ker and Chang, ...domain-specific word ... See full document
8
Large scale Word Alignment Using Soft Dependency Cohesion Constraints
... generative model for large-scale word alignment ...estimate model parameters in an unsupervised ...our model achieves improvements in both alignment quality and translation ... See full document
10
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... the probability of deleting or merg- ing Arabic morphemes for Arabic to English trans- ...to improve the similarity of words on both sides of the ... See full document
9
A Systematic Bayesian Treatment of the IBM Alignment Models
... the probability mass concentrates – is ...PY-IBM model 4 is the same as the PY-IBM HMM model translating in both directions, as opposed to an improvement in the pipelined ...for model 4 (the ... See full document
9
Improving Word Alignment using Word Similarity
... to improve word alignment, in ad- dition to the lexical and syntactic features that are typically ...derive word simi- larity from monolingual data. We present an extension to word ... See full document
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