[PDF] Top 20 Generation of Word Graphs in Statistical Machine Translation
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Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
... This paper explores the use of statisti- cal machine translation (SMT) methods for tactical natural language generation. We present results on using phrase-based SMT for learning to map meaning ... See full document
8
Productive Generation of Compound Words in Statistical Machine Translation
... Each word in the translation output is looked up in a list of compound parts, and merged with the next word if it results in a known ...overall translation results from English to ...factored ... See full document
11
Rich Morphology Generation Using Statistical Machine Translation
... when the L EMMA s are enriched with C AS , A SP , P ER , V OX or M OD features. Our best performer is L EMMA +M OD . Unlike gold features, greedily com- bining predicted features hurts the performance and the more ... See full document
5
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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A Comparative Study on Reordering Constraints in Statistical Machine Translation
... 1999). Therefore, we have to restrict the possible reorderings in some way to make the search prob- lem feasible. Here, we will discuss two such con- straints in detail. The first constraints are based on inversion ... See full document
8
A Ranking based Approach to Word Reordering for Statistical Machine Translation
... Long-distance word reordering between language pairs with substantial word order difference, such as Japanese with Subject-Object-Verb (SOV) structure and English with Subject-Verb-Object (SVO) struc- ture, ... See full document
9
An Empirical Evaluation of Stop Word Removal in Statistical Machine Translation
... of word ranks and their frequencies approx- imates a constant, i.e. word-frequency plot is close to a hyperbolic function, and hence the few top ranked words would account for a great por- tion of the ... See full document
8
POS-based Word Reorderings for Statistical Machine Translation
... Some more details can be seen in Table 4(b). Develop- ment and test corpus have been divided into two parts: one containing sentences that have been actually reordered (which is about 60%) and other which remains the ... See full document
6
Unsupervised Alignment for Segmental based Language Understanding
... in machine translation are relevant in our context if we consider that the target language is the concept ...guage translation. First, each word is aligned to at most one concept, while a ... See full document
8
Improving Statistical Machine Translation Using Word Sense Disambiguation
... In this paper, we present first results with a new architecture that integrates a state-of-the-art WSD model into phrase-based SMT so as to per- form multi-word phrasal lexical disambiguation, and show that this ... See full document
12
Emotion Detection in Code switching Texts via Bilingual and Sentimental Information
... It is more difficult to detect emotions in code- switching texts than in monolingual ones since e- motions in code-switching posts can be expressed through one or two languages. Hence, traditional automatic emotion ... See full document
6
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... Both word-level and subword-level neural ma- chine translation (NMT) models are applied in this task and further tuned by pseudo-parallel data generated from a phrase-based statistical machine ... See full document
8
Identifying bilingual Multi-Word Expressions for Statistical Machine Translation
... were grouped as one unique token before training align- ment models. They showed on a small corpus, that both alignment quality and translation accuracy were improved. However, in a further study, a lower BLEU ... See full document
6
Evaluating the Word Sense Disambiguation Performance of Statistical Machine Translation
... To address this we can again take advantage of the Senseval framework, and compare the performance of our SMT system with other published results on the same dataset. The system described in (Cabezas et al., 2004) is of ... See full document
6
Statistical Machine Translation with Word and Sentence Aligned Parallel Corpora
... using word-aligned data in estimat- ing the parameters for machine translation leads to better alignments is ...better translation quality, we used a state-of-the-art phrase-based decoder to ... See full document
8
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Based Machine Translation (EBMT) that ... See full document
8
Simultaneous Word Morpheme Alignment for Statistical Machine Translation
... of word transla- tion probabilities alone, equals ...morpheme translation probabilities reduces TAM to IBM Model ...both word and morpheme translation proba- bilities, as the equation above, ... See full document
9
Symmetric Word Alignments for Statistical Machine Translation
... source word can be aligned to at most one target ...one word in the source language (Ger- man) Ԭ ...a word alignment algorithm which avoids this con- straint and produces symmetric word ... See full document
7
Clustered Word Classes for Preordering in Statistical Machine Translation
... Clustered word classes have been used in connection with statistical machine transla- tion, for instance for improving word align- ...tered word classes can be used in a pre- ordering ... See full document
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