We present an extension to IBM Model 1 for training word-to-word lexicon probabilities. This model takes into account a given fixed segmentation of the source and target sentences in the estimation of the statistical dictionary. Our experimentation on the Europarl corpus shows that a statistical consistent improvement in the translation quality can be achieved by including our proposed model as...

The goal of simultaneous speech-to-speech (S2S) translation is to translate source language speech into target language with low latency. While conventional speech-to-speech (S2S) translation systems typically ignore the source language acousticprosodic information such as pausing, exploiting such information for simultaneous S2S translation can potentially aid in the chunking of source text in...

The main purpose of translating Tang poems is to exchange ideas and culture. On the basis of the theory of adaptablity in culturral context and translation criticism, the thesis discusses how to make the target language adapt to the cultural context of the source language during the process of the translation of Tang poems. Specifically, the target language should adapt the source language, the...

This paper presents a language independent methodology for automatically extracting bilingual lexicon entries from the web without the need of resources like parallel or comparable corpora, POS tagging, nor an initial bilingual lexicon. It is suitable for specialized domains where bilingual lexicon entries are scarce. The input for the process is a corpus in the source language to use as exampl...

Software industry has a huge amount of legacy programs needing modernization and re-engineering. We are especially interested in re-engineering legacy programs via language conversion. In language conversion, the source and target languages can be either from the same programming paradigm or from different ones. Thus, we consider program modernization from two aspects. If the source and target ...

Cross-language document summarization is defined as the task of producing a summary in a target language (e.g. Chinese) for a set of documents in a source language (e.g. English). Existing methods for addressing this task make use of either the information from the original documents in the source language or the information from the translated documents in the target language. In this study, w...

In this paper, we study direct transfer methods for multilingual named entity recognition. Specifically, we extend the method recently proposed by Täckström et al. (2012), which is based on cross-lingual word cluster features. First, we show that by using multiple source languages, combined with self-training for target language adaptation, we can achieve significant improvements compared to us...