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TweeNLP
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Team
SSST - 2012
Total Papers:- 14
Total Papers accross all years:- 110
Total Citations :- 63
1
Enriching Parallel Corpora for Statistical Machine Translation with Semantic Negation Rephrasing
Dominikus Wetzel |
Francis Bond |
Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors
Rudolf Rosa |
Ondřej Dušek |
David Mareček |
Martin Popel |
Head Finalization Reordering for Chinese-to-Japanese Machine Translation
Dan Han |
Katsuhito Sudoh |
Xianchao Wu |
Kevin Duh |
Hajime Tsukada |
Masaaki Nagata |
Towards a Predicate-Argument Evaluation for MT
Ondřej Bojar |
Dekai Wu |
Zero Pronoun Resolution can Improve the Quality of J-E Translation
Hirotoshi Taira |
Katsuhito Sudoh |
Masaaki Nagata |
WSD for n-best reranking and local language modeling in SMT
Marianna Apidianaki |
Guillaume Wisniewski |
Artem Sokolov |
Aurélien Max |
François Yvon |
Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics
Chi-kiu Lo |
Dekai Wu |
Towards Probabilistic Acceptors and Transducers for Feature Structures
Daniel Quernheim |
Kevin Knight |
Using Domain-specific and Collaborative Resources for Term Translation
Mihael Arcan |
Christian Federmann |
Paul Buitelaar |
Improving Statistical Machine Translation through co-joining parts of verbal constructs in English-Hindi translation
Karunesh Kumar Arora |
R Mahesh K Sinha |
Application of Clause Alignment for Statistical Machine Translation
Svetla Koeva |
Svetlozara Leseva |
Ivelina Stoyanova |
Rositsa Dekova |
Angel Genov |
Borislav Rizov |
Tsvetana Dimitrova |
Ekaterina Tarpomanova |
Hristina Kukova |
Proceedings of the Sixth Workshop on Syntax, Semantics and Structure in Statistical Translation
Marine Carpuat |
Lucia Specia |
Dekai Wu |
Linguistically-Enriched Models for Bulgarian-to-English Machine Translation
Rui Wang |
Petya Osenova |
Kiril Simov |
Extracting Semantic Transfer Rules from Parallel Corpora with SMT Phrase Aligners
Petter Haugereid |
Francis Bond |
Conference Topic Distribution
Linguistic
Task
Approach
Language
Dataset
21.4%
21.4%
21.4%
17.9%
7.14%
7.14%
3.57%
Linguistic Based Work Distribution
plotly-logomark
42.2%
31.3%
18.8%
7.81%
Task Based Work Distribution
plotly-logomark
71.4%
14.3%
14.3%
Approach Based Work Distribution
plotly-logomark
51.6%
14.1%
10.9%
9.38%
7.81%
6.25%
Language Based Work Distribution
plotly-logomark
60%
13.3%
13.3%
6.67%
6.67%
Dataset Based Work Distribution
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Conference Citation Distribution
Conference Citations
Yearwise Conference Citations
39.8%
31.2%
6.45%
5.38%
5.38%
4.3%
3.23%
2.15%
2.15%
Conferences Citations
plotly-logomark
2,016.5
2017
2,017.5
2018
2,018.5
0
20
40
60
80
Yearwise Conferences Citations
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Conference Reference Distribution
Conference References
Yearwise Conference References
37.1%
22.4%
12.9%
8.62%
4.31%
4.31%
3.45%
3.45%
3.45%
Conferences Referred
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2000
2010
0
20
40
60
80
Yearwise Conferences Referred
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Topics
Linguistic Trends
Syntax
Morphology
Task
Language Understanding
Tagging
Chunking
Textual Entailment
Semantic Similarity
Language Generation
Machine Translation
Paraphrasing
Spoken Language Processing
Biomedical
Language
Multilingual
Chinese
English
Hindi
Japanese
Spanish
French
Dataset
News