The paper introduces a method for interpreting novel noun compounds with semantic relations. The method is built around word similarity with pretagged noun compounds, based on WordNet::Similarity. Over 1,088 training instances and 1,081 test instances from the Wall Street Journal in the Penn Treebank, the proposed method was able to correctly classify 53.3% of the test noun compounds. We also i...

Conceptual representation of the Old Turkic denominal verb formative {+GAr-} can be characterized with a schema: “ACT + base noun”. It incorporates noun into such that (1) it brings about an action complimentary to quality, attribute or capacity when used without object; (2) object, associating object noun. The reference could either literal metonymical. To support proposition, twenty-two examp...

Indonesian has always been ignored as a source of Noun Incorporation. This happens because the agglutinative nature Indonesian. means that many words in are formed by combining several morphemes. Even so, it is possible fact lot Incorporation (IN) processes occur research uses Mithun and Rosen's approach searching for Nouns The results this study reveal incorporation nouns even though they not ...

This paper examines the effect of paraphrasing noun-noun compounds in statistical machine translation from Swedish to English. The paraphrases are meant to elicit the underlying relationship that holds between the compounding nouns, with the use of prepositional and verb phrases. Though some types of noun-noun compounds are too lexicalized, or have some other qualities that make them unsuitable...

This paper explores the determinants of adjective-noun plausibility by using correlation analysis to compare judgements elicited from human subjects with five corpus-based variables: co-occurrence frequency of the adjective-noun pair, noun frequency, conditional probability of the noun given the adjective, the log-likelihood ratio, and Resnik’s (1993) selectional association measure. The highes...

We investigate how the automatic identification of noun compounds and named entities can contribute to keyphrase extraction and we also show how previously identified noun compounds affect named entity recognition and vice versa, how noun compound detection is supported by identified named entities. Our experiments demonstrate that already known noun compounds yield better performance in named ...

Noun phrase analysis is one of the most important components in Natural Language Processing (NLP) applications, such as information retrieval, extraction and categorization. For Thai, noun phrase analysis has unique problems, i.e., noun phrase boundary identification, noun phrase decomposition and its relation extraction, and core noun detection. Statistical and rule based Word formation is, th...

The goal for this project is to examine and evaluate the effect of paraphrasing noun-noun compounds, with the aim of improving machine translation. The paraphrases will elicit the underlying relationship that holds between the compounding nouns, with the use of prepositional and verb phrases. Though some types of noun-noun compounds are too lexicalized, or have some other qualities that make th...