[PDF] Top 20 Semantic Roles for String to Tree Machine Translation
Has 10000 "Semantic Roles for String to Tree Machine Translation" found on our website. Below are the top 20 most common "Semantic Roles for String to Tree Machine Translation".
Semantic Roles for String to Tree Machine Translation
... the semantic role labeled corpus could have isolated semantic roles in them which would not necessarily get connected to the right predicate or argument during ...the semantic arguments of a ... See full document
5
Modeling Selectional Preferences of Verbs and Nouns in String to Tree Machine Translation
... for string-to-tree statistical machine translation based on the selectional association measure of Resnik ...the semantic roles of its ... See full document
11
Comparing Representations of Semantic Roles for String To Tree Decoding
... chine translation (SMT), and the use of predicate- argument structures has provided promising im- provements in translation ...shallow semantic parsing can improve the translation quality in a ... See full document
6
Rule Selection with Soft Syntactic Features for String to Tree Statistical Machine Translation
... for string-to- tree machine ...the string-to-tree case, the rule selection problem must be ...French-English translation tasks for different domains has shown that rule se- ... See full document
7
String to Dependency Statistical Machine Translation
... hierarchical string-to-dependency translation model that exploits a dependency LM while decoding (as opposed to during reranking n-best output)to score alternative translations based on their structural ... See full document
24
A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing
... logical form has a unique linearized parse. We as- sume the alignment to be n-to-1, where each word is linked to at most one MRL production. Ba- sically, a reduction-based λ-SCFG grammar rule and a phrase alignment ... See full document
6
Translating Negation: A Manual Error Analysis
... Statistical Machine Translation has come a long way improving the translation quality of a range of different linguistic phenom- ...of semantic elements involved in the meaning of negation, ... See full document
10
Generation of Synthes Is Programs in Robra (Ariane) From String Tree Correspondence Grammars (Or a Strategy for Synthesis in Machine Translation)
... GENERATION OF SYNTHES IS PROGRAMS IN ROBRA (ARIANE) FROM STRING TREE CORRESPONDENCE GRAMMARS (or a Strategy for Synthesis in Machine Translation) GENERATI ON OF SYNTHES I S PROGRA MS I N #OBRJ, (ARIAN[.] ... See full document
6
Efficient Incremental Decoding for Tree to String Translation
... Most efforts in statistical machine translation so far are variants of either phrase-based or syntax-based models. From a theoretical point of view, phrase- based models are neither expressive nor ... See full document
11
Forest based Tree Sequence to String Translation Model
... forest-based tree se- quence to string translation model for syntax- based statistical machine translation, which automatically learns tree sequence to string ... See full document
9
A novel dependency to string model for statistical machine translation
... In the following parts, we first describe the moti- vation of using head-dependents relations (Section 2). Then we formalize our grammar (Section 3), present our rule acquisition algorithm (Section 4), our model (Section ... See full document
11
Semantic Parsing as Machine Translation
... specifically tree transducers, which have been profitably employed for syntax-based ma- chine translation (Maletti, ...than tree-based machine translation techniques to learn a ... See full document
6
Fine Grained Tree to String Translation Rule Extraction
... Norwegian-English translation integrates in-depth grammatical analysis of Norwegian (using lexi- cal functional grammar, similar to (Riezler and Maxwell, 2006)) with semantic representations in the minimal ... See full document
10
Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics
... In this paper, we presented a first attempt at statistical realization from MRS representations. The ap- proach treats realization as a translation problem, transforming the Dependency MRS graph representa- tion ... See full document
11
Rule Markov Models for Fast Tree to String Translation
... of machine translation, the idea of weak- ening independence assumptions by modeling the derivation history is also found in parsing (Johnson, 1998), where rule probabilities are conditioned on parent and ... See full document
9
Reordering Model for Forest to String Machine Translation
... Hierarchical models (Chiang, 2005) use lexi- calized synchronous context-free grammar rules to produce local reorderings. The grammatical- ity of their output can be improved by addi- tional reordering models scoring ... See full document
6
Natural Languages Analysis in Machine Translation (MT) Based on the STCG (String-Tree Correspondence Grammar)
... ... See full document
6
A Tree to String Phrase based Model for Statistical Machine Translation
... phrasal translation while our system can naturally make use of such kind of phrasal translation by using word-to-phrase tree transforma- ...phrasal translation by traversing the tree ... See full document
8
On the Elements of an Accurate Tree to String Machine Translation System
... Based on these results we draw three conclu- sions. The first is that given the very competitive results presented here, T2S systems do seem to have the potential to achieve high accuracy, even when compared to strong ... See full document
7
Towards String To Tree Neural Machine Translation
... We present a simple method to incorporate syntactic information about the target lan- guage in a neural machine translation sys- tem by translating into linearized, lexical- ized constituency trees. ... See full document
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