[PDF] Top 20 A Study of Translation Rule Classification for Syntax based Statistical Machine Translation

... phrase based SMT models is that they can not effectively model the discontiguous translations and numerous at- tempts have been made on this issue (Simard et ...This rule can be simulated by conjunctions of ... See full document

... that translation quality of English-Japanese PBMT is significantly improved using a transla- tion model learned by English sentences prepro- cessed by Head Finalization and Japanese sen- ...a statistical ... See full document

... tropy based rule selection (MERS) model for syntax-based statistical machine transla- tion ...context-dependent rule se- lection during ...tically ... See full document

... In Statistical Machine Translation (SMT), the constraints on word reorderings have a great impact on the set of potential translations that are ...we study this trade-off using a state-of-the ... See full document

... In our initial experiments, we noticed that for the most frequent reordering rules in English → Hindi (e.g that IN NP or NP PP flips in Hindi) the prob- ability of a reordering was roughly 65%. This was concerning since ... See full document

... To analyze the influence of different features, we trained the MERS model using source-side and target-side n-gram lexical features similar to the CSRS model. When using this feature set, the performance of the MERS ... See full document

... The system presented in this paper takes a slightly different route and is closer to the approach taken by Collins et al. (2005): we parse only monolin- gually on the source side, re-order, and then trans- late. However, ... See full document

... Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation Qun Liu, Zhongjun He, Yang Liu and Shouxun Lin.. Indirect-HMM-based Hypothesis Alignment for C[r] ... See full document

... raw machine-translation output, along with its human-post-edited counterpart, we can train the system to translate from the former into the lat- ...case study that mo- tivates our work and the ... See full document

... Machine translation (MT), in particular the statisti- cal approach to it, has undergone incremental im- provements in recent ...While rule-based ma- chine translation (RBMT) maintains ... See full document

... the translation rules are re-organized using our proposed hyper-tree struc- ture, which is a compact representation of the en- tire translation rule set, in order to make the com- mon parts of ... See full document

... Statistical machine translation is also called data-driven translation in which leaning technology is automatically ...traditional rule-based machine translation ... See full document

... As discussed before (see Figure 1 and 2), the archi- tecture of our syntax based statistical MT system is illustrated in Figure 5. Note that this is a non- deterministic process. The input sentence ... See full document

... Following (Brown et al., 1993) and the other literature in TM, this paper only focuses the de- tails of TM. Applications of our TM, such as ma- chine translation or dictionary construction, will be described in a ... See full document

... An Efficient Execution Method for Rule Based Machine Translation An Efficient Execution Method for Rule Based Machine Translation Hiroyuki KAJI Systems Development Laboratory~ Hitachi Ltdo 1099 Ohzenj[.] ... See full document

... target translation: the gunman was killed by police ...output translation has two salient errors: determiner/noun number disagreement (*this Turkish positions) and auxiliary/verb tense disagreement (*has ... See full document

... deep syntax language model to aid lexical choice in SMT ...deep syntax model are for arguments of the main verb of the sentence, conditioned on the main verb, and in- cluding such probabilities in a system ... See full document

... improve statistical machine translation performance and also to remove the necessity to model them ...phrase translation should be realized as a phrase alignment, where the lexical ... See full document

... Paraphrases are alternative ways of expressing the same information (Culicover, 1968). Automatically generating and detecting paraphrases is a crucial as- pect of many NLP tasks. In multi-document sum- marization, ... See full document

... the syntax-based combination of two MT systems from companies that have access to enormous language resources with an MT system which is tailored for the under resourced language Latvian, allows to improve ... See full document