[PDF] Top 20 A Statistical Approach to Language Translation
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A Statistical Approach to Language Translation
... A STATISTICAL APPROACH TO LANGUAGE TRANSLATION A S T A T I S T I C A L A P P R O A C H T O L A N G U A G E T R A N S L A T I O N P B R O W N , J C O C K E , S D E L I , A P I E T R A , V D E L L A P I[.] ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... get language. In most SMT systems the use of a 4-gram back-off language model usually achieves improvements in the BLEU score in comparison to the 3-gram LM used during ... See full document
8
Large and Diverse Language Models for Statistical Machine Translation
... Often more data is better data, and so it should come as no surprise that recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models (LM). However, ... See full document
6
A Topic Triggered Language Model for Statistical Machine Translation
... Researchers have been trying to incorporate topic information into language models in several ways. Gildea and Hofmann (1999) use EM al- gorithm to perform a topic factor decomposition based on a segmented ... See full document
8
Improving Statistical Natural Language Translation with Categories and Rules
... Improving Statistical Natural Language Translation with Categories and Rules I m p r o v i n g S t a t i s t i c a l N a t u r a l Language Translation w i t h C a t e g o r i e s and R u l e s F r a[.] ... See full document
5
Improving Statistical Natural Language Translation with Categories and Rules
... For the automatic generation of class systems exists a well known procedure see Kneser and Ney, 1993, Och, 1995 which maximizes the perplexity of the language model for a training corpus[r] ... See full document
5
Bilingual Structured Language Models for Statistical Machine Translation
... structured language models In this section, we combine the direct correspon- dence assumption (Section 2) and SLMs (Sec- tion 3), and define bilingual structured language models (BiSLMs) for ... See full document
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On line Language Model Biasing for Statistical Machine Translation
... The vector b t can be interpreted as the projection of target n-gram t in the source space. Note that b t is independent of the source input u , and can therefore be pre-computed off-line. At run-time, the biased count ... See full document
5
Deep Syntax Language Models and Statistical Machine Translation
... source language (SL) words/phrases to the correct position in the target language (TL) ...aid language modeling in hierarchical systems is to use a language model that models fluency of words ... See full document
9
Pivot Language Approach for Phrase Based Statistical Machine Translation
... The data used for this experiment is the same as those used in (Wang et al., 2006). There are 21,977, 329,350, and 160,535 sentence pairs for the lan- guage pairs Chinese-Japanese, Chinese-English, and English-Japanese, ... See full document
8
Multiple stream Language Models for Statistical Machine Translation
... The weighted interpolation results suggest that while naive combination of the streams may be mis- guided, average translation performance can be im- proved upon when using more than a single in- domain stream. ... See full document
10
The Alignment Template Approach to Statistical Machine Translation
... the statistical alignment models used to obtain a word alignment and techniques for learning phrase translations from word ...word-based statistical translation models in Brown et ...machine ... See full document
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A MORE ACCURATE PUNJABI TO ENGLISH MACHINE TRANSLITERATION SYSTEM FOR PROPER NOUNS
... CB approach is to analyze the systematic patterns of variation and to use pre- defined linguistic ...corpus-based approach is classified into two approaches: - Statistical Machine Transliteration ... See full document
15
Can SMT and RBMT Improve each other’s Performance? An Experiment with English Hindi Translation
... machine translation (RBMT) and Statistical machine translation (SMT) are two well-known approaches for translation which have their own ...proposed approach with improvement in BLEU ... See full document
10
A Statistical Approach to Machine Aided Translation of Terminology Banks
... A Statistical Approach to Machine Aided Translation of Terminology Banks A Statistical A p p r o a c h to Machine Aided Translation o f Terminology Banks Jyun Sheng Chang Department of Computer Scienc[.] ... See full document
5
A Structured Prediction Approach for Statistical Machine Translation
... Our method provides a simple and efficient way to solve the word ordering problem partially which is NP-hard (Knight 1999). It is word based except for those indecomposable word sequences under ITGs. However, it can ... See full document
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A Statistical Approach to Sense Disambiguation in Machine Translation
... A Statistical Approach to Sense Disambiguation in Machine Translation A S t a t i s t i c a l A p p r o a c h t o S e n s e D i s a m b i g u a t i o n i n M a c h i n e T r a n s l a t i o n Peter F[.] ... See full document
6
A Neural Approach to Language Variety Translation
... Systems within the NMT category use a machine learning architecture based on neural networks to compose the final translation. As mentioned, there are several architectures which have been proven state-of-the-art, ... See full document
8
Translation Revisited: A New Approach
... of translation as a process or a product, and identify such sub-types as literary translation, technical translation, legal translation, journalistic translation, ...the ... See full document
7
Statistical Machine Translation with Local Language Models
... All three approaches, including the baseline, use lexicalized distortion, distinguishing between mono- tone, swap, and discontinuous reordering, all with respect to the previous and next phrase (Koehn et al., 2005). The ... See full document
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