Add to ORKGIn statistical machine translation, data sparsity is a challenging problem espe-cially for languages with rich morphology and inconsistent orthography, such as Per-sian. We show that orthographic prepro-cessing and morphological segmentation of Persian verbs in particular improves the translation quality of Persian-English by 1.9 BLEU points on a blind test set.
In this paper we show that a hierarchical phrase-based translation system will outperform a classica...
Statistical machine translation (SMT) suffers from various problems which are exacerbated where trai...
This paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech ...
We tried to cope with the complex morphology of Turkish by applying different schemes of morphologic...
Résumé. De nombreux travaux en Traduction Automatique Statistique (TAS) pour des langues d’en-trée m...
Machine translation (MT), as applied to natural language processing, has undergone substantial deve...
This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Translation syste...
We present a novel morphological analysis technique which induces a morphological and syntactic sym...
Abstract — This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Transl...
Inflected languages in a low-resource set-ting present a data sparsity problem for statistical machi...
As interaction between speakers of different languages continues to increase, the everpresent proble...
Various experiments from literature suggest that in statistical machine translation (SMT), applying ...
This paper presents some very prelimi-nary results for and problems in develop-ing a statistical mac...
This paper presents some very preliminary results for and problems in developing a statistical machi...
We address the problem of translating from morphologically poor to morphologically rich languages by...
In this paper we show that a hierarchical phrase-based translation system will outperform a classica...
Statistical machine translation (SMT) suffers from various problems which are exacerbated where trai...
This paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech ...
We tried to cope with the complex morphology of Turkish by applying different schemes of morphologic...
Résumé. De nombreux travaux en Traduction Automatique Statistique (TAS) pour des langues d’en-trée m...
Machine translation (MT), as applied to natural language processing, has undergone substantial deve...
This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Translation syste...
We present a novel morphological analysis technique which induces a morphological and syntactic sym...
Abstract — This paper documents recent work carried out for PeEn-SMT, our Statistical Machine Transl...
Inflected languages in a low-resource set-ting present a data sparsity problem for statistical machi...
As interaction between speakers of different languages continues to increase, the everpresent proble...
Various experiments from literature suggest that in statistical machine translation (SMT), applying ...
This paper presents some very prelimi-nary results for and problems in develop-ing a statistical mac...
This paper presents some very preliminary results for and problems in developing a statistical machi...
We address the problem of translating from morphologically poor to morphologically rich languages by...
In this paper we show that a hierarchical phrase-based translation system will outperform a classica...
Statistical machine translation (SMT) suffers from various problems which are exacerbated where trai...
This paper describes a method based on morphological analysis of words for a Persian Part-Of-Speech ...