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This work summarizes a comparison between two ap- proaches to Statistical Machine Translation (SMT), namely Ngram-based and Phrase-based SMT. In both approaches, the translation process is based on bilingual units …...

Complex Language Models cannot be eas- ily integrated in the first pass decoding of a Statistical Machine Translation system – the decoder queries the LM a very large number of …...

This paper explores the use of statisti- cal machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to map meaning repre- …...

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 paper introduces syntactic knowledge …...

AbstractThis paper describes the NiCT-ATR statistical machine translation (SMT) system used for the IWSLT 2007 evaluation campaign. We participated in three of the four language pair translation tasks (CE, JE, …...

Though phrase-based SMT has achieved high translation quality, it still lacks of generaliza- tion ability to capture word order differences between languages. In this paper we describe a general method …...

Part of the unique cultural heritage of China is the game of Chinese couplets (duìlián). One person challenges the oth- er person with a sentence (first sentence). The other person …...

. We investigated the effects of processing Swedish compounds for phrase-based SMT between Swedish and English. Compounds were split in a pre-processing step using an unsupervised empirical method. After translation …...

We present a novel approach to word reordering which successfully integrates syntactic structural knowledge with phrase-based SMT. This is done by con- structing a lattice of alternatives based on automatically …...

. We propose a novel statistical approach to automatically generate Chinese couplets and Chinese poetry. For Chinese couplets, the system takes as input the first sentence and generates as output …...

In current phrase-based SMT systems, more training data is generally better than less. However, a larger data set eventually intro- duces a larger model that enlarges the search space for …...

In most statistical machine translation (SMT) systems, bilingual segments are ex- tracted via word alignment. However, there lacks systematic study as to what alignment characteristics can benefit MT under specific …...

This paper describes the 2010 phrase-based statistical machine translation system de- veloped at the TALP Research Center of the UPC1 in cooperation with BMIC2 and VMU3. In phrase-based SMT, the …...

The quality of Arabic-English statistical ma- chine translation often suffers as a result of standard phrase-based SMT systems’ inabil- ity to perform long-range re-orderings, specif- ically those needed to translate …...

This paper describes the phrase-based SMT systems developed for our participation in the WMT11 Shared Translation Task. Translations for English↔German and English↔French were generated using a phrase-based translation system which …...

In past Evaluations for Machine Translation of European Languages, it could be shown that the translation performance of SMT systems can be increased by integrating a bilingual lan- guage model …...

We compare three methods of modeling morphological features in statistical ma- chine translation (SMT) from English to Arabic, a morphologically rich language. Features can be modeled as part of the …...

Reordering is of essential importance for phrase based statistical machine translation (SMT). In this paper, we would like to present a new method of reordering in phrase based SMT. We …...

This paper proposes a method for learning a discriminative parser for machine trans- lation reordering using only aligned par- allel text. This is done by treating the parser’s derivation tree …...

We present a variant of phrase-based SMT that uses source-side parsing and a constituent re- ordering model based on word alignments in the word-aligned training corpus to predict hi- erarchical …...

This paper describes the phrase-based SMT systems developed for our participation in the WMT12 Shared Translation Task. Translations for English↔German and English↔French were generated using a phrase-based translation system which …...

This paper proposes new distortion mod- els for phrase-based SMT. In decoding, a distortion model estimates the source word position to be translated next (NP) given the last translated source …...

We present a novel model, Freestyle, that learns to improvise rhyming and fluent re- sponses upon being challenged with a line of hip hop lyrics, by combining both bottom- up …...

This paper describes the phrase-based SMT systems developed for our partici- pation in the WMT13 Shared Translation Task. Translations for English↔German and English↔French were generated us- ing a phrase-based translation …...

This paper describes T ¨UB˙ITAK-B˙ILGEM statistical machine translation (SMT) sys- tems submitted to the Eighth Work- shop on Statistical Machine Transla- tion (WMT) shared translation task for German-English language pair …...

AbstractThis work describes an experimental evaluation of the significance of phrasal verb treatment for obtaining better quality statistical machine translation (SMT) results. The importance of the detection and special treatment …...

AbstractIn this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions. For ten directions we also include hierarchical …...

AbstractIn this paper, we address the problem of Machine Translation (MT) for a specialised domain in a language pair for which only a very small domain-specific parallel corpus is available. …...