Results 91 to 100 of about 78,002 (309)
From the outset, automatic translation was dominated by systems based on linguistic information, but then later other approaches opened up the way, such as translation memories and statistical machine translation which draw on parallel language corpora ...
Francisco Casacuberta Nolla +1 more
doaj +1 more source
Parallel Treebanks in Phrase-Based Statistical Machine Translation [PDF]
Given much recent discussion and the shift in focus of the field, it is becoming apparent that the incorporation of syntax is the way forward for the current state-of-the-art in machine translation (MT).
Tinsley, John, Hearne, Mary, Way, Andy
core
We propose a suture‐complementary approach that integrates optical skin clearing with a strain‐programmable luminescent adhesive patch. Hyaluronic acid promotes transdermal delivery of tartrazine to improve optical clearing and stabilizes its interaction with a photosensitizer. Optical clearing increases the penetration depth of visible light into skin,
Seong‐Jong Kim +6 more
wiley +1 more source
String-to-Dependency Statistical Machine Translation
Libin Shen, Jinxi Xu, Ralph Weischedel
doaj +1 more source
Machine Learning Based Optimized Pruning Approach for Decoding in Statistical Machine Translation
A conventional decoding algorithm is critical to the success of any statistical machine translation system. Providing an enormous amount of space leads to inappropriate slow decoding. There is a trade-off between the translation accuracy and the decoding
Debajyoty Banik +2 more
doaj +1 more source
Paraphrase Lattice for Statistical Machine Translation
Lattice decoding in statistical machine translation (SMT) is useful in speech translation and in the translation of German because it can handle input ambiguities such as speech recognition ambiguities and German word segmentation ambiguities. In this paper, we show that lattice decoding is also useful for handling input variations.
ONISHI, Takashi +2 more
openaire +3 more sources
Wrapper syntax for example-based machine translation [PDF]
TransBooster is a wrapper technology designed to improve the performance of wide-coverage machine translation systems. Using linguistically motivated syntactic information, it automatically decomposes source language sentences into shorter and ...
Mellebeek, Bart +4 more
core
A compostable PGS soft surgical robot with interchangeable modules integrates transient Mo tactile and Si thermal sensors for dual feedback. The device preserves its function after clinical‐grade sterilization, demonstrates stable actuation and cardiac tissue grasping with real‐time in vivo pulsatile monitoring, and biodegrades post‐use with soil‐safe,
Minseong Chae +27 more
wiley +1 more source
Syntax-based reordering model for phrasal statistical machine translation
To deal with the long-distance reordering, a linguistically syntax-based reordering model was presented for phrasal statistical machine translation. In this model, the syntax structure was decomposed according to the phrase segmentation to avoid the ...
XUE Yong-zeng +3 more
doaj +2 more sources
Promoting Flexible Translations in Statistical Machine Translation
While SMT systems can learn to translate multiword expressions (MWEs) from parallel text, they typically have no notion of non-compositionality, and thus overgeneralise translations that are only used in certain contexts. This paper describes a novel approach to measure the flexibility of a phrase pair, i.e.
openaire +3 more sources

