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A Statistical Approach to Machine Translation [chapter]

2003 Readings in Machine Translation  
In this paper, we present a statistical approach to machine translation. We describe the application of our approach to translation from French to English and give preliminary results. Peter F.  ...  A Statistical Approach to Machine Translation Source Language Model S t TranslatiOnModel T Pr(S) x Pr(TIS) = Pr(S,T) A Source Language Model and a Translation Model furnish a probability distribution over  ...  In our second experiment, we used the statistical approach to translate from French to English.  ... 
doi:10.7551/mitpress/5779.003.0039 fatcat:6s5ff5ns55elzpcxauj2ywtgaq

A monotonic statistical machine translation approach to speaking style transformation

Graham Neubig, Yuya Akita, Shinsuke Mori, Tatsuya Kawahara
2012 Computer Speech and Language  
In particular, the proposed model uses a framework of monotonic statistical machine translation to perform not only the deletion of disfluencies and insertion of punctuation, but also correction of colloquial  ...  We perform a detailed analysis of the types of corrections performed by human stenographers when creating clean transcripts, and propose a model that is able to handle the majority of the most common corrections  ...  Monotonic Statistical Machine Translation for SST This section describes a model for SST based on monotonic statistical machine translation (SMT).  ... 
doi:10.1016/j.csl.2012.02.003 fatcat:tb2e3iqfczct7nexvq3pu332mi

Towards a unified approach to memory- and statistical-based machine translation

Daniel Marcu
2001 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01  
We present a set of algorithms that enable us to translate natural language sentences by exploiting both a translation memory and a statistical-based translation model.  ...  Our results show that an automatically derived translation memory can be used within a statistical framework to often find translations of higher probability than those found using solely a statistical  ...  In contrast, our approach attempts to stir the statistical decoding process into directions that are difficult to reach when one relies only on the parameters of a particular translation model.  ... 
doi:10.3115/1073012.1073062 dblp:conf/acl/Marcu01 fatcat:ita4r75u3rhjpb5uud2dqphjoi

A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation

Chi-Ho Li, Minghui Li, Dongdong Zhang, Mu Li, Ming Zhou, Yi Guan
2007 Annual Meeting of the Association for Computational Linguistics  
Inspired by previous preprocessing approaches to SMT, this paper proposes a novel, probabilistic approach to reordering which combines the merits of syntax and phrase-based SMT.  ...  Given a source sentence and its parse tree, our method generates, by tree operations, an n-best list of reordered inputs, which are then fed to standard phrase-based decoder to produce the optimal translation  ...  Introduction The phrase-based approach has been considered the default strategy to Statistical Machine Translation (SMT) in recent years.  ... 
dblp:conf/acl/LiLZLZG07 fatcat:uadxf7qvyfemvpxe5aej55ar74

A Hybrid Approach to Statistical Machine Translation Between Standard and Dialectal Varieties [chapter]

Friedrich Neubarth, Barry Haddow, Adolfo Hernández Huerta, Harald Trost
2016 Lecture Notes in Computer Science  
Using statistical machine translation (SMT) for dialectal varieties usually suffers from data sparsity, but combining word-level and character-level models can yield good results even with small training  ...  We present an approach that utilizes a full parse of the source sentences and discuss the problems that arise with such an approach.  ...  Introduction The standard paradigm of statistical machine translation (SMT) is tailored towards major languages with large bilingual and perhaps even larger monolingual text corpora at hand.  ... 
doi:10.1007/978-3-319-43808-5_26 fatcat:37h2wigenndghdic77poibpkmq

A statistical approach to sense disambiguation in machine translation

Peter F. Brown, Stephen A. Della Pietra, Vincent J. Della Pietra, Robert L. Mercer
1991 Proceedings of the workshop on Speech and Natural Language - HLT '91   unpublished
The qttestlou is constructed to ha, re high mutua,1 i~fformation with the word's translations.  ...  INTRODUCTION An a,lluring a,spect of the staMstica,1 a,pproa,ch to ins,chine tra,nsla,tion rejuvena.ted by Brown, et al., [_1] is the systems.tic framework it provides for a.tta.cking the problem of lexicM  ...  This difficulty can be addressed by integrating statistical models into the traditional machine translation architecture of analysis-transfer-synthesis.  ... 
doi:10.3115/112405.112427 fatcat:nietvlo7tnbgplc2x47dcmubeu

A statistical approach to machine aided translation of terminology banks

Jyun-Sheng Chang, Andrew Chang, Tsuey-Fen Lin, Sur-Jin Ker
1992 Proceedings of the 14th conference on Computational linguistics -   unpublished
l]fis paper reports on a new statistical approach to machine aided translation of terminology bank. The text in the bank is hyphenated and then dissected into roots of 1 to 3 syllables.  ...  One can expect the translation of terminology bank using this approach to be more cost-effective, consistent, and with a better closure.  ...  Therefore, we have developed a statistical approach to hyphenation. Tile idea is to collect frequency count of syllables in correctly hyphenated words.  ... 
doi:10.3115/993079.993098 fatcat:xvxilrrbhzadlc57z4sg6uuxna

A statistical approach to machine aided translation of terminology banks

Jyun-Sheng Chang, Andrew Chang, Tsuey-Fen Lin, Sur-Jin Ker
1992 Proceedings of the 14th conference on Computational linguistics -   unpublished
l]fis paper reports on a new statistical approach to machine aided translation of terminology bank. The text in the bank is hyphenated and then dissected into roots of 1 to 3 syllables.  ...  One can expect the translation of terminology bank using this approach to be more cost-effective, consistent, and with a better closure.  ...  Therefore, we have developed a statistical approach to hyphenation. Tile idea is to collect frequency count of syllables in correctly hyphenated words.  ... 
doi:10.3115/992383.992402 fatcat:a4hrilsw2jds7dpjefxfk53ok4

A deep learning approach to machine transliteration

Thomas Deselaers, Saša Hasan, Oliver Bender, Hermann Ney
2009 Proceedings of the Fourth Workshop on Statistical Machine Translation - StatMT '09   unpublished
Common approaches use finite state machines or other methods similar to conventional machine translation.  ...  Instead of using conventional NLP techniques, the approach presented here builds on deep belief networks, a technique which was shown to work well for other machine learning problems.  ...  We would like to thank Geoffrey Hinton for providing the Matlab Code accompanying (Hinton and Salakhutdinow, 2006) .  ... 
doi:10.3115/1626431.1626476 fatcat:2gwk7wp375b4dlqfu24qfdh5qu

Towards a simple and accurate statistical approach to learning translation relationships among words

Robert C. Moore
2001 Proceedings of the workshop on Data-driven methods in machine translation -   unpublished
We report on a project to derive word translation relationships automatically from parallel corpora.  ...  Our methods achieve accuracy on singleword translations that seems comparable to any work previously reported, up to nearly 60% coverage of word types, and they perform particularly well on a class of  ...  Our overall approach to machine translation is a deep-transfer approach in which the transfer relationships are learned from a parallel bilingual corpus (Richardson et al., 2001) .  ... 
doi:10.3115/1118037.1118048 fatcat:nm7lkvq6dfh6tbmqrjsnkucafy

Deep grammars in a tree labeling approach to syntax-based statistical machine translation

Mark Hopkins, Jonas Kuhn
2007 Proceedings of the Workshop on Deep Linguistic Processing - DeepLP '07   unpublished
In this paper, we propose a new syntaxbased machine translation (MT) approach based on reducing the MT task to a treelabeling task, which is further decomposed into a sequence of simple decisions for which  ...  preliminary results on English-to-German translation with a tree-labeling system trained on a small subsection of the Europarl corpus.  ...  The most successful statistical MT paradigm has been, for a while now, the so-call phrase-based MT approach (Och and Ney, 2003) .  ... 
doi:10.3115/1608912.1608919 fatcat:akgvim64qvcwjk6mjv7vdyzxxu

Machine Translation Systems in India [article]

Sugata Sanyal, Rajdeep Borgohain
2013 arXiv   pre-print
We discuss the various approaches taken for building the machine translation system and then discuss some of the Machine Translation Systems in India along with their features.  ...  In this paper, we take a look at the various Machine Translation System in India which is specifically built for the purpose of translation between the Indian languages.  ...  The corpus based approach is mainly used in Statistical Machine Translation and the Example Based Machine Translation System. A.  ... 
arXiv:1304.7728v1 fatcat:ydpheynv2rhqxgvctcpmxr4fey

A STUDY OF MACHINE TRANSLATION APPROACHES FOR GUJARATI LANGUAGE

Jatin C. Modh
2018 International Journal of Advanced Research in Computer Science  
This paper gives a brief description of approaches of Machine Translation and the work done for the Gujarati language.  ...  In Machine Translation System (MTS), one natural language gets translated to another language using computational applications with minimal human effort or without a real-time human interface.  ...  Machine Translation is a data-oriented approach for translating text from the source language to target language based on the statistical models extracted from bilingual or multilingual textual corpora  ... 
doi:10.26483/ijarcs.v9i1.5266 fatcat:r6xggbyapfevlm5mpzk676br6i

A Review of the Various Approaches for Text to Text Machine Translations

Abiola O.B, Adetunmbi A.O, Oguntimilehin. A
2015 International Journal of Computer Applications  
Approaches to machine translations are different and each of this approach has its own benefits and drawbacks.  ...  Machine translation (MT) is defined as a subfield of computational linguistics that investigates the use of computer software to translate text or speech from one natural language to another.  ...  Statistical machine translation approach which is based on statistical models and in which a word is translated to one of a number of possibilities based on probabilities was used in the development.  ... 
doi:10.5120/21325-4278 fatcat:a25kpmv2jncuffu5p5b7gky3he

Machine translation of Indonesian: a review

Amalia Agung Septarina, Electrical Engineering Department, Politeknik Negeri Malang, Faisal Rahutomo, Moechammad Sarosa
2019 Communications in Science and Technology  
This paper exposes different approaches and tools for machine translation. The approaches also use various evaluation methods to measure performance.  ...  The review results show that the attentionbased approach is being increasingly used to improve the performance of neural machine translation.  ...  Hybrid Machine Translation This approach is a combination of the multiple machine translation approach. Often associated with "statistical" and "rule-based" approaches (see fig.3 ).  ... 
doi:10.21924/cst.4.1.2019.104 fatcat:5eb4v7wdz5aj5b7m2itttxvwmi
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