We present a Czech-English statistical machine translation system which performs tree-to-tree translation of dependency structures. The only bilingual resource required is a sentence-aligned parallel corpus. All other resources are monolingual. We also refer to an evaluation method and plan to compare our system’s output with a benchmark system.

Word alignment is the basis of statistical machine translation. GIZA++ is a popular tool for producing word alignments and translation models. It uses a set of parameters that affect the quality of word alignments and translation models. These parameters exist to overcome some problems such as overfitting. This paper addresses the problem of tuning GIZA++ parameter for better translation qualit...

Semantic parsing, the task of mapping natural language sentences to logical forms, has recently played an important role in building natural language interfaces and question answering systems. In this talk, I will present three ways in which semantic parsing relates to machine translation: First, semantic parsing can be viewed *as* a translation task with many of the familiar issues, e.g., dive...

We investigate a new approach for SMT system training within the streaming model of computation. We develop and test incrementally retrainable models which, given an incoming stream of new data, can efficiently incorporate the stream data online. A naive approach using a stream would use an unbounded amount of space. Instead, our online SMT system can incorporate information from unbounded inco...

In this article we describe the statistical approach to machine translation as implemented in the it stattrans-module of the VERBMOBIL system.

We propose a simple and effective method to build a meta-level Statistical Machine Translation (SMT), called meta-SMT, for system combination. Our approach is based on the framework of Stacked Generalization, also known as Stacking, which is an ensemble learning algorithm, widely used in machine learning tasks. First, a collection of base-level SMTs is generated for obtaining a meta-level corpu...