Add to ORKGIn this work, we examine the quality of several statistical machine translation sys-tems constructed on a small amount of parallel Serbian-English text. The main bilingual parallel corpus consists of about 3k sentences and 20k running words from an unrestricted domain. The translation systems are built on the full corpus as well as on a reduced corpus containing only 200 parallel sentences. A small set of about 350 short phrases from the web is used as additional bilingual knowledge. In addition, we investigate the use of mono-lingual morpho-syntactic knowledge i.e
In this paper, we present our linguistically-augmented statistical machine translation model from Bu...
We present a method for improving statistical machine translation perfor-mance by using linguistical...
Abstract. In this work, the use of a phrasal lexicon for statistical machine translation is proposed...
In this work, we examine the quality of several statistical machine translation sys-tems constructed...
In this thesis, three possible aspects of using linguistic (i.e. morpho-syntactic) knowledge for sta...
In this paper, we analyse three statistical models for the machine translation of Slovenian into Eng...
In the framework of statistical machine translation (SMT), correspondences between the words in the ...
This work investigates the use of cross-language resources for statistical machine translation (SMT)...
Machine translation between closely related languages is less challenging and exhibits a smaller num...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The qual...
We present a method for improving statistical machine translation performance by using linguisticall...
We collected a corpus of parallel text in 11 lan-guages from the proceedings of the European Par-lia...
This paper presents a novel approach for parallel data generation using machine translation and qual...
The amount of training data in statistical machine translation is critical for translation quality. ...
In this paper, we present our linguistically-augmented statistical machine translation model from Bu...
We present a method for improving statistical machine translation perfor-mance by using linguistical...
Abstract. In this work, the use of a phrasal lexicon for statistical machine translation is proposed...
In this work, we examine the quality of several statistical machine translation sys-tems constructed...
In this thesis, three possible aspects of using linguistic (i.e. morpho-syntactic) knowledge for sta...
In this paper, we analyse three statistical models for the machine translation of Slovenian into Eng...
In the framework of statistical machine translation (SMT), correspondences between the words in the ...
This work investigates the use of cross-language resources for statistical machine translation (SMT)...
Machine translation between closely related languages is less challenging and exhibits a smaller num...
The best way to improve a statistical machine translation system is to identify concrete problems ca...
Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The qual...
We present a method for improving statistical machine translation performance by using linguisticall...
We collected a corpus of parallel text in 11 lan-guages from the proceedings of the European Par-lia...
This paper presents a novel approach for parallel data generation using machine translation and qual...
The amount of training data in statistical machine translation is critical for translation quality. ...
In this paper, we present our linguistically-augmented statistical machine translation model from Bu...
We present a method for improving statistical machine translation perfor-mance by using linguistical...
Abstract. In this work, the use of a phrasal lexicon for statistical machine translation is proposed...