Morphological segmentation is an effective strategy for addressing difficulties caused by
morphological complexity. In this study, we use an English-to-Arabic test bed to determine …

汉蒙形态差异性以及平行语料库规模小制约了汉蒙统计机器翻译性能的提升.
本文将蒙古语形态信息引入汉蒙统计机器翻译中, 通过将蒙古语切分成词素的形式 …

In this paper, a morpheme-based weighting and its integration method are proposed as a
smoothing method to alleviate the data sparseness in Chinese-Mongolian statistical …

The data sparsity and the morphological difference between Chinese and Mongolian are the
main problems in Mongolian-Chinese statistical machine translation (SMT). In this paper, we …

The linguistic processes responsible for creating new words can be gathered under the term
morphology. Morphology is the sub-field of linguistics that studies words' internal structure …

Abstract Machine translation is a very important field in Natural Language Processing. The
need for machine translation arises due to the increasing amount of data available online …

When translating into a morphologically complex language, segmenting the target language
can reduce data sparsity, while introducing the complication of desegmenting the system …

The objective of this paper is to initiate discussion within the SIGMORPHON community
around several issues that involve computational morphology, phonology, phonetics …