Results 31 to 40 of about 78,002 (309)

Bilingually motivated domain-adapted word segmentation for statistical machine translation [PDF]

, 2009
We introduce a word segmentation approach to languages where word boundaries are not orthographically marked, with application to Phrase-Based Statistical Machine Translation (PB-SMT).
Andy Way, Way, Andy, Yanjun Ma, Ma, Yanjun   +3 more
core   +1 more source

Advance Research on Neural Machine Translation Integrating Linguistic Knowledge

Jisuanji kexue yu tansuo, 2021
Although neural machine translation has become the mainstream method and paradigm in the current research and application of machine translation, there are also some problems such as the fluent but not faithful of the translation results, difficult ...
GUO Wanghao, FAN Jiangwei, ZHANG Keliang
doaj   +1 more source

Machine Translation in Indian Languages: Challenges and Resolution

Journal of Intelligent Systems, 2019
English to Indian language machine translation poses the challenge of structural and morphological divergence. This paper describes English to Indian language statistical machine translation using preordering and suffix separation.
Patel Raj Nath, Pimpale Prakash B., Sasikumar M.   +2 more
doaj   +1 more source

Combining multi-domain statistical machine translation models using automatic classifiers [PDF]

, 2010
This paper presents a set of experiments on Domain Adaptation of Statistical Machine Translation systems. The experiments focus on Chinese-English and two domain-specific corpora. The paper presents a novel approach for combining multiple domain-trained
Li, Baoli, Banerjee, Pratyush, Way, Andy, Kumar Naskar, Sudip, van Genabith, Josef, Du, Jinhua   +5 more
core  

Handling phrase reordering for machine translation [PDF]

, 2009
We propose a distance phrase reordering model (DPR) for statistical machine translation (SMT), where the aim is to capture phrase reorderings using a structure learning framework. On both the reordering classification and a Chinese-to-English translation
Saunders, Craig, Niranjan, Mahesan, Ni, Yizhao, Mahesan Niranjan, Craig J. Saunders, Sandor Szedmak, Szedmak, Sandor, Yizhao Ni   +7 more
core   +1 more source

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 more
wiley   +1 more source

Decoding algorithm in statistical machine translation [PDF]

Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics -, 1997
Decoding algorithm is a crucial part in statistical machine translation. We describe a stack decoding algorithm in this paper. We present the hypothesis scoring method and the heuristics used in our algorithm. We report several techniques deployed to improve the performance of the decoder.
Wang, Ye-Yi, Waibel, Alex
openaire   +3 more sources

Statistical analysis of alignment characteristics for phrase-based machine translation [PDF]

, 2010
In most statistical machine translation (SMT) systems, bilingual segments are extracted via word alignment. However, there lacks systematic study as to what alignment characteristics can benefit MT under specific experimental settings such as the ...
Petitrenaud, Simon, Patrik Lambert, Andy Way, Lambert, Patrik, Way, Andy, Yanjun Ma, Simon Petitrenaud, Ma, Yanjun   +7 more
core  

Salmonella lipopolysaccharide‐containing supported lipid bilayers as platforms to study bacteriophage interactions

FEBS Letters, EarlyView.
We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace, Alyssa Borges, Charles Arnaud, Tove Karlsson, Nina K. Bröker, Stefanie Barbirz, Marta Bally   +6 more
wiley   +1 more source

Variational decoding for statistical machine translation [PDF]

Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - ACL-IJCNLP '09, 2009
Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segmentations). In principle, the goodness of a string is measured by the total probability of its many derivations.
Zhifei Li 0001, Jason Eisner, Sanjeev Khudanpur   +2 more
openaire   +2 more sources