[PDF] Top 20 Semantic Parsing as Machine Translation
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Semantic Parsing as Machine Translation
... tsVB also uses a piece of standard MT ma- chinery, specifically tree transducers, which have been profitably employed for syntax-based ma- chine translation (Maletti, 2010). In that work, however, the usual MT ... See full document
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A Statistical Machine Translation Model with Forest-to-Tree Algorithm for Semantic Parsing
... for semantic parsing with statistical machine translation, our semantic pars- ing framework consists of two main ...linearized semantic parses, given by an off-the-shelf phrase ... See full document
6
Learning for Semantic Parsing with Statistical Machine Translation
... synchronous parsing (Aho and Ullman, 1972), orig- inally developed as a theory of compilers in which syntax analysis and code generation are combined into a single ...Synchronous parsing has seen a surge of ... See full document
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Language to Code: Learning Semantic Parsers for If This Then That Recipes
... casts semantic parsing as phrasal ...statistical machine translation sys- tem that is similar in structure and performance to Moses (Koehn et ... See full document
11
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
... both parsing and genera- tion, an elegant property that has been widely ad- vocated (Kay, 1975; Jacobs, 1985; Shieber, ...’s semantic parsing abil- ity: mapping NL queries to a formal database query ... See full document
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Neural Machine Translation for Bilingually Scarce Scenarios: a Deep Multi Task Learning Approach
... Neural machine translation requires large amounts of parallel training text to learn a reasonable-quality translation ...the machine translation task on auxiliary tasks including ... See full document
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A Semantic Evaluation of Machine Translation Lexical Choice
... improve translation performance, we evaluate the impact of training the PBSMT system on more than the Europarl data used for controlled comparison with ...combine translation, reordering and language models ... See full document
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Semantic Roles for String to Tree Machine Translation
... Figure 2 depicts an example of a complete se- mantic rule. Numbers following grammatical cat- egories (for example, S-8 at the root) are the re- fined nonterminals produced by the split-merge parser. In general, the tree ... See full document
5
DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance
... In the ever-growing field of translation metrics, a number of systems exist which attempt to provide an overall rating for a sentence. Most of these use one or more reference translations produced by a human as a ... See full document
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Improving Statistical Machine Translation with Processing Shallow Parsing
... As mentioned in section 1, some approaches us- ing syntactic information are applied to solve the reordering problem. One of approaches is syntac- tic parsing of source language and reordering rules as ... See full document
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Constituent Boundary Parsing for Example Based Machine Translation
... Constituent Boundary Parsing for Example Based Machine Translation Constituent lloundary Parsing for Exanll)lo lkised Maclhine Tr,'inslation O s a m u FUI,~I JSF a n d l l i t o s h i [ I D A A T R I[.] ... See full document
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Proceedings of the Workshop on Machine Translation and Parsing in Indian Languages
... The workshop also hosted a dependency parsing shared task for Hindi. As part of the shared task, a part of the Hindi Treebank (HTB) containing gold standard morphological analyses, part-of-speech tags, chunks and ... See full document
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Knowledge Based Semantic Embedding for Machine Translation
... the semantic tuples, we first use RNN to encode the source sentence into a real space to get the sentence embedding, based on which, correspond- ing semantic tuples are generated with a neural- ... See full document
10
ENGLISH TO SANSKRIT MACHINE TRANSLATION SEMANTIC MAPPER
... English semantic word with the dictionary Sanskrit word ...be semantic (meaningful) matching based on the relationship been established in the first module ... See full document
6
Joshua: An Open Source Toolkit for Parsing Based Machine Translation
... Chart parsing: Given a source sentence to de- code, the decoder generates a one-best or k-best translations using a CKY ...The parsing process starts with the axioms, and proceeds by applying the inference ... See full document
5
Post ordering by Parsing for Japanese English Statistical Machine Translation
... Sudoh et al. (2011b) proposed a post-ordering method for Japanese-English translation. The trans- lation flow for the post-ordering method is shown in Figure 1, where “HFE” is an abbreviation of “Head Final ... See full document
6
Discontinuous Verb Phrases in Parsing and Machine Translation of English and German
... for parsing and Machine Translation ...dependency parsing, word-level alignment and MT, which arise from the discontinuous order in V-Prt split ... See full document
7
Effects of Noun Phrase Bracketing in Dependency Parsing and Machine Translation
... chine translation that is quick and can be reused as a benchmark across machine translation ...a machine translation and a reference text (Papineni et ...two parsing systems ... See full document
6
Efficient Top Down BTG Parsing for Machine Translation Preordering
... The quality of training data is important to make accurate preordering systems, but automat- ically word-aligned data by EM algorithms tend to have many wrong alignments. We use forced- decoding in order to make training ... See full document
11
Non Projective Parsing for Statistical Machine Translation
... syntax-based translation systems have framed translation as a parsing problem, where search for the most probable translation is achieved using algorithms that are generalizations of ... See full document
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