This paper presents the semi-automatic construction method of a practical ontology by using various resources. In order to acquire a reasonably practical ontology in a limited time and with less manpower, we extend the Kadokawa thesaurus by inserting additional semantic relations into its hierarchy, which are classified as case relations and other semantic relations. The former can be obtained ...

We employ syntactic and semantic information in estimating the quality of machine translation from a new data set which contains source text from English customer support forums and target text consisting of its machine translation into French. These translations have been both post-edited and evaluated by professional translators. We find that quality estimation using syntactic and semantic in...

In this paper, we consider the role of semantics in the spoken dialogue translation systems. We begin by looking at some of the key properties of an existing spoken dialogue system, namely the sundial system which provides ight and train information over the telephone, and how these properties aaect the design methodology and functionality of spoken translation systems. These properties include...

We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation metrics, the aim of semantic MT evaluation is to measure the utility of translations. We discuss the design of empirical studies to evaluate the utility of machine translation output by assessing the accuracy for key ...

OBJECTIVE The International Society for the Prevention of Child Abuse and Neglect (ISPCAN) Child Abuse Screening Tools (ICAST) is a battery of questionnaires created by the World Health Organization, the United Nations and ISPCAN for researching maltreatment in childhood. This study aims to translate, to adapt and to validate the semantic equivalence of all items on the three questionnaires: IC...

To support more precise query translation for English-Chinese Bi-Directional Cross-Language Information Retrieval (CLIR), we have developed a novel framework by integrating a semantic network to characterize the correlations between multiple inter-related text terms of interest and learn their inter-related statistical query translation models. First, a semantic network is automatically generat...

This paper describes a method for disambiguating word senses by using semi-automatically constructed ontology. The ontology stores rich semantic constraints among 1,110 concepts, and enables a natural language processing system to resolve semantic ambiguities by making inferences with the concept network of the ontology. In order to acquire a reasonably practical ontology in limited time and wi...

This study investigated semantic transfer in second language (L2) learning and provided a replication of the author’s study (Jiang, 2002) in a different English as a Second Language (ESL) population. Korean ESL speakers were asked to perform a semantic judgment task in which they decided whether or not 2 English words were related in meaning. Two types of related word pairs served as critical s...

In this paper we describe an interlingua translation system from Italian to Italian Sign Language. The main components of this systems are a broad coverage dependency parser, an ontology based semantic interpreter and a grammarbased generator: we provide the description of the main features of these components.

Semantic search promises to provide more accurate result than present-day keyword search. However, progress with semantic search has been delayed due to the complexity of its query languages. In this paper, we explore a novel approach of adapting keywords to querying the semantic web: the approach automatically translates keyword queries into formal logic queries so that end users can use famil...