… In the current chapter, the proposed hybrid MT methodology is compared to established MT
systems, both in terms of design … Comparing CRF and template-matching in phrasing tasks …

… had been comparisons between MT systems or architectures … that statistical MT was better
than the rule-based or hybrid kind… Neural versus phrase-based machine translation quality: A …

… PMG based on template-matching principles have been … text into phrases in compliance
with the TL phrasing scheme. If … well as in comparison with other MT systems, the performance …

… Hence, CRF represents a natural choice for modelling tasks … TEM is based on the
template-matching algorithm [9], where … ARG process compares to alternative phrasing modules …

… of phrases and the order of these phrases is determined by … Figure 2 depicts the translation
quality variation for CRF, … : Comparison of metric scores between our hybrid MT system …

… (2015) compares the template-matching technique with the CRF on a specific … task such as
phrasing of a sequence of words into phrases. This task represents that the text is parsed into …

… less complex system based on a template-matching approach (… text-to-be-translated into
linguistically motivated phrases. TEM … Comparative results for CRF and the highest-scoring TEM …

… However, template matching requires a lot of manpower to … Table 3 shows the results of
our method compared with other … However, ECE is a joint extraction task of phrase-level event …

… Random Fields (CRF) and Template Matching (TEM). … hybrid), sPSO achieves a lower error
rate (ie fewer erroneous … , the ARG model is compared to other phrasing models in terms of …

… for PRESEMT is based on Template Matching (TEM), which … TEM attains a higher phrasing
accuracy than CRF, learning more … To determine how ARG compares to alternative phrasing …