[PDF] Top 20 Rich Morphology Generation Using Statistical Machine Translation
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Rich Morphology Generation Using Statistical Machine Translation
... All generation experiments are conducted using the Moses phrase-based SMT system (Koehn et ...done using a set of 300 Arabic sentences from the 2004 NIST MT evaluation test set ...evaluate ... See full document
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Morphology In Statistical Machine Translation From English To Highly Inflectional Language
... to rich morpho-syntactic complexity of highly inflec- tional languages, there are, for example, 3,922 plausi- ble MSD tags defined for Czech (although only 1,571 unique tags actually appear in most corpora) ... See full document
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Generation of Compound Words in Statistical Machine Translation into Compounding Languages
... This heuristic has the advantage over previous merging algorithms that it can form novel compounds while reducing the risk of erroneous merging through the matching constraint. It is also the only merging method we are ... See full document
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Improved Statistical Machine Translation for Resource Poor Languages Using Related Resource Rich Languages
... SMT using source-language paraphrases extracted with the pivoting technique of Bannard and Callison- Burch (2005) and eight additional languages from the Europarl corpus (Koehn, ...example, using German as ... See full document
10
Towards Efficient Large Scale Feature Rich Statistical Machine Translation
... for machine trans- lation. We describe how we integrate with MapReduce using Hadoop streaming to allow arbitrarily scaling the tuning set and utilizing a sparse feature ...English translation, and ... See full document
6
Named Entity Transliteration Generation Leveraging Statistical Machine Translation Technology
... various statistical approaches have been tried, starting from the seminal work by (Knight and Graehl, ...of Statistical Machine Translation ...use statistical techniques in some form to ... See full document
6
Improved Statistical Machine Translation Using Paraphrases
... Thus, having observed phrases in the past dramat- ically increases the chances that they will be trans- lated correctly in the future. However, for any given test set, a huge amount of training data has to be ob- served ... See full document
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Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages
... a statistical ma- chine translation system is to identify con- crete problems causing translation errors and address ...for statistical machine transla- tion systems involving two ... See full document
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Segment Choice Models: Feature Rich Models for Global Distortion in Statistical Machine Translation
... This paper presents a new approach to distortion (phrase reordering) in phrase- based machine translation (MT). Distor- tion is modeled as a sequence of choices during translation. The approach ... See full document
8
Parallel Corpora for bi Directional Statistical Machine Translation for Seven Ethiopian Language Pairs
... Amharic-Wolaytta-Amharic translation systems are better than Amharic- Ge’ez-Amharic systems although the data size used in the former is less than the data size used in the ...complex morphology than Ge’ez ... See full document
8
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... et al., 2007), which included a large amount of manual work. Graham and van Genabith (2008) and Graham et al. (2009) explored the automatic rule induction approach in a transfer-based MT setting involving two lexical ... See full document
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The AMU System in the CoNLL 2014 Shared Task: Grammatical Error Correction by Data Intensive and Feature Rich Statistical Machine Translation
... out-of-the-box machine translation toolk- its like Moses (Koehn et ...towards translation performance measured by the metrics used in the SMT ... See full document
9
Context Dependent Automatic Response Generation Using Statistical Machine Translation Techniques
... This approach seemingly reduces the grammat- ical integrity of the source utterance, and it may seem as if we risk confusing the translation model and losing grammaticality of the output. However, grammaticality ... See full document
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Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP CoNLL)
... Improving Statistical Machine Translation Using Word Sense Disambiguation Marine Carpuat and Dekai Wu.. Large Margin Synchronous Generation and its Application to Sentence Compression Tr[r] ... See full document
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Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
... Parsing with W ASP requires a set of SCFG rules. These rules are learned using a word alignment model, which finds an optimal mapping from words to MR predicates given a set of training sentences and their correct ... See full document
8
Applying Morphology Generation Models to Machine Translation
... logically rich as the segmented morphemes must be put together in the output (El-Kahlout and Oflazer, 2006); and in fact, most work using pre-processing focused on translation into ... See full document
9
Distortion Model Considering Rich Context for Statistical Machine Translation
... This paper proposes new distortion mod- els for phrase-based SMT. In decoding, a distortion model estimates the source word position to be translated next (NP) given the last translated source word position (CP). We ... See full document
11
Morphology Injection for English Malayalam Statistical Machine Translation
... when using factored ...a Morphology injection method that generates various morphological forms of noun and verb entities by classifying them and augments the training data with newly generated ... See full document
7
Manipuri English Bidirectional Statistical Machine Translation Systems using Morphology and Dependency Relations
... bidirectional statistical machine translation ...English-Manipuri statistical machine translation system, the role of the suffixes and dependency relations on the source side and ... See full document
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