Add to ORKGState of the art Machine Translation (MT) systems tend to perform poorly when translating into lan-guages with rich morphological systems. When multiple morphemes inflect a single word stem
parallel data and phrases that are not present in the training data are not correctly translated. Th...
Abstract We propose a language-independent approach for improving statistical machine translation fo...
In the framework of statistical machine translation (SMT), correspondences between the words in the ...
We improve the quality of statistical machine translation (SMT) by applying models that predict word...
In this paper, a novel algorithm for incorporating morpho-logical knowledge into statistical machine...
Summarization: Background in statistical machine translation -- 2. Language morphologies -- 3. The ...
Translating into morphologically rich languages is difficult. Although the coverage of lemmas may...
Summarization: Introduction 2. Scientific goals 3. Baseline system 4. Corpus 5. Morphology 6. ...
We present a novel morphological analysis technique which induces a morphological and syntactic sym...
We address the problem of translating from morphologically poor to morphologically rich languages by...
In this paper, we present a translation modelof Myanmar phrases for statistical machinetranslation. ...
In statistical machine translation, estimating word-to-word alignment probabilities for the translat...
International audienceThis paper describes a two-step machine translation system that addresses the ...
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine trans...
The use of morphology is particularly interesting in the context of statistical machine translation ...
parallel data and phrases that are not present in the training data are not correctly translated. Th...
Abstract We propose a language-independent approach for improving statistical machine translation fo...
In the framework of statistical machine translation (SMT), correspondences between the words in the ...
We improve the quality of statistical machine translation (SMT) by applying models that predict word...
In this paper, a novel algorithm for incorporating morpho-logical knowledge into statistical machine...
Summarization: Background in statistical machine translation -- 2. Language morphologies -- 3. The ...
Translating into morphologically rich languages is difficult. Although the coverage of lemmas may...
Summarization: Introduction 2. Scientific goals 3. Baseline system 4. Corpus 5. Morphology 6. ...
We present a novel morphological analysis technique which induces a morphological and syntactic sym...
We address the problem of translating from morphologically poor to morphologically rich languages by...
In this paper, we present a translation modelof Myanmar phrases for statistical machinetranslation. ...
In statistical machine translation, estimating word-to-word alignment probabilities for the translat...
International audienceThis paper describes a two-step machine translation system that addresses the ...
We present a joint morphological-lexical language model (JMLLM) for use in statistical machine trans...
The use of morphology is particularly interesting in the context of statistical machine translation ...
parallel data and phrases that are not present in the training data are not correctly translated. Th...
Abstract We propose a language-independent approach for improving statistical machine translation fo...
In the framework of statistical machine translation (SMT), correspondences between the words in the ...