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Word-Sequence Kernels
TLDR
We address the problem of categorising documents using kernel-based methods such as Support Vector Machines using sequences of words rather than characters. Expand
Estimating the Sentence-Level Quality of Machine Translation Systems
TLDR
We investigate the problem of predicting the quality of sentences produced by machine translation systems when reference translations are not available. Expand
Translating with Non-contiguous Phrases
TLDR
This paper presents a phrase-based statistical machine translation method, based on non-contiguous phrases. Expand
A Dataset for Assessing Machine Translation Evaluation Metrics
TLDR
We describe a dataset containing 16,000 translations produced by four machine translation systems and manually annotated for quality by professional translators. Expand
Source-Language Entailment Modeling for Translating Unknown Terms
TLDR
This paper addresses the task of handling unknown terms in SMT. Expand
Learning Machine Translation
TLDR
The Internet gives us access to a wealth of information in languages we don't understand. Expand
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem
TLDR
In this paper, we focus on the reverse mapping, showing that any phrase-based SMT decoding problem can be directly reformulated as a TSP. Expand
A Statistical Machine Translation Primer
TLDR
This first chapter is a short introduction to statistical machine translation (SMT). Expand
Factored sequence kernels
TLDR
An automatic compressor-jack device which comprises an air compressor, a hydraulic jack and a transmission mechanism. Expand
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