Multi-Engine Machine Translation of Technical E-Contents from English to Hindi: Evaluated by Fluency & Adequacy
Abstract
References
- Multi-Engine Machine Translation of Technical E-Contents from English to Hindi: Evaluated by Fluency & Adequacy
Recommendations
Assessment of Multi-Engine Machine Translation for English to Hindi Language MEMTEHiL: Using F&A and iBLEU Metrics
English to Hindi translation of the computer-science related e-content, generated through an online freely available machine translation engine may not be technically correct. The expected target translation should be as fluent as intended for the ...
Some problems of prepositional phrases in machine translation
FinTAL'06: Proceedings of the 5th international conference on Advances in Natural Language ProcessingPrepositions as functional words play an important role in the construction of phrases and sentences. They connect typically a noun or a pronoun to another word and show their relationships in a sentence. They are a kind of “small” word and can not ...
Exploiting Morphology and Local Word Reordering in English-to-Turkish Phrase-Based Statistical Machine Translation
In this paper, we present the results of our work on the development of a phrase-based statistical machine translation prototype from English to Turkish-an agglutinative language with very productive inflectional and derivational morphology. We ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/965b2491-2f57-41ae-bea4-324983e3036f/2910925.cover.jpg)
In-Cooperation
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 45Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in