Translation of Binominal Phrases

Statistical Translation Model for Phrases

Machine Translation is one of the most difficult problems in the field of natural language processing. In the past, MT has been applied to professional communication in the process of translating technical and corporate document on a specific domain. Recent years saw the rapid development of Internet as a new form of communication and information exchange, and the need to access information acr...

Feature-Rich Statistical Translation of Noun Phrases

We define noun phrase translation as a subtask of machine translation. This enables us to build a dedicated noun phrase translation subsystem that improves over the currently best general statistical machine translation methods by incorporating special modeling and special features. We achieved 65.5% translation accuracy in a German-English translation task vs. 53.2% with IBM Model 4.

Machine Translation and Connectedness between Phrases

Bilingual phrases for statistical machine translation

The statistical framework has proved to be very successful in machine translation. The main reason for this success is the existence of powerful techniques that allow to build machine translation systems automatically from available parallel corpora. Most of statistical machine translation approaches are based on single-word translation models, which do not take bilingual contextual information...

Parsing Complementizer Phrases In Machine Translation System

Every language has a finite number of words and finite number of rules but infinite number of sentences. Sentences are not formed by the words alone but by structural units known as constituents. Analysis of the sentence constituency begins at the larger units of grammar and then breaks the larger units down into smaller and smaller units. Syntax is the study of relationships between words and ...