This paper reports the NTT statistical translation system participating in the evaluation campaign of IWSLT 2005. The NTT system is based on a phrase translation model and utilizes a large number of features with a log-linear model. We studied the various features recently developed in this research field and evaluate the system using supplied data as well as publicly available Chinese, Japanes...

We have sets X and Y: we will assume that Y is a finite set. Our goal is to build a model that estimates the conditional probability p(y|x) of a label y ∈ Y given an input x ∈ X . For example, x might be a word, and y might be a candidate partof-speech (noun, verb, preposition etc.) for that word. We have a feature-vector definition φ : X × Y → Rd. We also assume a parameter vector w ∈ Rd. Give...

Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabilities of other “nearby” instantiations. In this paper we explore more general types of contrastive objectives, which trade off the probability of the correct label against an arbitrary set of other instantiations. We pr...

For 2 × 2 × K contingency tables, Tomizawa considered a Shannon entropy type measure to represent the degree of departure from a log-linear model of no three-factor interaction (the NOTFI model). This paper proposes a generalization of Tomizawa’s measure for 2 × 2 × K tables. The measure proposed is expressed by using Patil-Taillie diversity index or Cressie-Read power-divergence. A special cas...

In this paper, we build morphological chains for agglutinative languages by using a log linear model for the morphological segmentation task. The model is based on the unsupervised morphological segmentation system called MorphoChains [1]. We extend MorphoChains log linear model by expanding the candidate space recursively to cover more split points for agglutinative languages such as Turkish, ...

This paper investigates improvement of automatic biomedical named-entity recognition by applying a reranking method to the COLING 2004 JNLPBA shared task of bioentity recognition. Our system has a common reranking architecture that consists of a pipeline of two statistical classifiers which are based on log-linear models. The architecture enables the reranker to take advantage of features which...

We consider a nonparametric diffusion process whose drift and diffusion coefficients are nonparametric functions of the state variable. The goal is to estimate the unknown drift coefficient. We apply a locally linear smoother with a data-driven bandwidth choice. The procedure is fully adaptive and nearly optimal up to a log log factor. The results about the quality of estimation are nonasymptot...

We prove that log-linearly interpolated backoff language models can be efficiently and exactly collapsed into a single normalized backoff model, contradicting Hsu (2007). While prior work reported that log-linear interpolation yields lower perplexity than linear interpolation, normalizing at query time was impractical. We normalize the model offline in advance, which is efficient due to a recur...

The kinetics of iodination of the phenol and substituted phenols using pyridiniumiodochloride in methanol has been studied under varying conditions. The rates show first orderkinetics each in pyridinium iodochloride and phenols. The rates of reactions are measured atdifferent temperature and activation parameters for all phenols computed. Hammett plot is foundto be valid and the corrletion betw...

Established analyses of labour market commuting are based on random choice models and gravity type models. In these models generalised transport costs are formulated as exponential or log-linear distance dependent functions. This paper presents empirical observations, which imply that time distances influence the commuting behaviour in a non-linear way, such that the time sensitivity is much lo...