We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
We propose a new computation model which combines the operational principles of functional languages (reduction), logic languages (non-deterministic search for solutions), and int...
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
The problem addressed in this paper is to segment a given multilingual document into segments for each language and then identify the language of each segment. The problem was mot...
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...