Automatic Machine Translations from one to another language have been the subject of great attention of computational linguistics for many years. In EnglishHindi Machine Translation, verb tuning is a vital operation. Present paper is an approach to describe easy English-Hindi verb phrase mapping. This work results satisfactory in Machine Translation over type of English sentences. It is observe...

There is a close relationship between prosody and syntax. In the field of speech synthesis, many investigations have been made to control prosody so that it conforms to the syntactic structure of the sentence. This paper is concerned with the inverse problem: recovery of syntactic structure with the help of prosodic information. In our past investigations, it was observed that duration of inter...

Reordering model is important for the statistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This paper introduces syntactic knowledge to improve global reordering capability of SMT system. Syntactic knowledge such as boundary words, POS information and dependencies is used to guide phrase reordering. Not on...

This study is aimed at uncovering a way that participants in conversation predict end-of-utterance for spontaneous Japanese speech. In spontaneous everyday conversation, the participants must predict the ends of utterances of a speaker to perform smooth turn-taking without too much gap. We consider that they utilize not only syntactic factors but also prosodic factors for the end-of-utterance p...

Prosodic phrase structure provides important information for the understanding and naturalness of synthetic speech, and a good model of prosodic phrases has applications in both speech synthesis and speech understanding. This work describes a statistical model of an embedded hierarchy of prosodic phrase structure, motivated by results in linguistic theory. Each level of the hierarchy is modeled...

This paper presents the Carnegie Mellon University statistical transfer MT system submitted to the 2009 WMT shared task in French-to-English translation. We describe a syntax-based approach that incorporates both syntactic and non-syntactic phrase pairs in addition to a syntactic grammar. After reporting development test results, we conduct a preliminary analysis of the coverage and effectivene...

We evaluated the distinctiveness, independence, and relative time courses of the event-related brain potentials (ERPs) elicited by syntactically and semanticallyanomalous words. ERPswere recorded from13 scalp electrodes while subjects read sentences, some of which contained a selectional restriction violation (semantically anomalous), a verb tense violation (syntactically anomalous), or a doubl...

We propose an efficient method to conduct phrase alignment on parse forests for paraphrase detection. Unlike previous studies, our method identifies syntactic paraphrases under linguistically motivated grammar. In addition, it allows phrases to non-compositionally align to handle paraphrases with non-homographic phrase correspondences. A dataset that provides gold parse trees and their phrase a...

In this paper, we present an integrated approach for recognizing both the word sequence and the syntactic-prosodic structure of a spontaneous utterance. The approach aims at improving the performance of the understanding component of speech understanding systems by exploiting not only acoustic and syntactic information, but also prosodic information directly within the speech recognition proces...

Syntactic structure plays a role in prosodic phrasing, which in turn guides where speakers may pause during a sentence. To what extent does syntactic structure predict the locations and durations of unfilled, intrasentential pauses in conversational speech? Here we attempt to answer that question by using the word-aligned and syntactically annotated Switchboard corpus [3]. Automated binary clas...