Certain content of a linguistic construction can project when the construction is embedded in entailment-canceling environments. For example, the conclusion that John smoked in the past from the utterance John stopped smoking still holds for John didn’t stop smoking, in which the original utterance is embedded under negation. There are two main approaches to account for projection phenomena. Th...

Statistical model in retrieval has been shown to perform well empirically. Extended Boolean model has been widely used in business system for its easiness to be complemented and not bad results. In this paper, a statistical model and modified Boolean model and natural language processing techniques, shallow query understanding techniques are used and results show that even with very limited tra...

This study views the connectivity problem in ad hoc networks from a new perspective, by defining the critical transmission range for k-connectivity as a random variable and finding statistical models for this random variable when k = 1, 2, 3.

Language modeling is an important part for both speech recognition and machine translation systems. Adaptation has been successfully applied to language models for speech recognition. In this paper we present experiments concerning language model adaptation for statistical machine translation. We develop a method to adapt language models using information retrieval methods. The adapted language...

This paper describes a novel target-side syntactic language model for phrase-based statistical machine translation, bilingual structured language model. Our approach represents a new way to adapt structured language models (Chelba and Jelinek, 2000) to statistical machine translation, and a first attempt to adapt them to phrasebased statistical machine translation. We propose a number of variat...

This paper presents a statistical lexical ambiguity resolution method in direct transfer machine translation models in which the target language is Turkish. Since direct transfer MT models do not have full syntactic information, most of the lexical ambiguity resolution methods are not very helpful. Our disambiguation model is based on statistical language models. We have investigated the perfor...

A robust parsing model for spontaneous Chinese based on semantic constituent spotting and concept assembling model (SCAM) had been successfully developed in our “LOADSTAR”dialog system[1]. It is a travel information accessing system and the SCAM is rule based. Considering the domain portability, a statistical model for spoken language understanding is adopted. The statistical spoken language un...

This article surveys recent research in the area of language modeling (sometimes called statistical language modeling) approaches to information retrieval. Language modeling is a formal probabilistic retrieval framework with roots in speech recognition and natural language processing. The underlying assumption of language modeling is that human language generation is a random process; the goal ...