This paper mainly applies the qualia structure theory to the study of compound nouns whose lexical meanings cannot be inferred from their morpheme meanings by taking some undirected disyllabic compound nouns as example from the Chinese Semantic Word-formation Database. The paper concludes some specific ways by which morpheme meanings can be integrated with lexical meanings. It is hoped that the...

Language models are fundamental for many natural language processing applications. The most widely used type of language models are the corpus-based probabilistic ones. These models provide an estimate of the probability of a word sequence W based on training data. Therefore, large amounts of training data are required in order to ensure statistical significance. But even if the training data a...

Morphology is the study of how meaningful components of form are combined to make complex words. Understanding how such complex words can be ‘broken apart’ into their morphological constituents is the problem of morpheme segmentation. While words that have similar meanings tend to share similar forms (e.g., run and running), many morphemes do not have transparently shared meanings. For example,...

This paper describes a morphological analysis method of continuous spoken Korean to solve the integration problem of speech recognition and natural language processing. The method centers on a Viterbi search-based morphological analysis on top of speech signal processing and MLP-based phone recognition. The main contribution of this paper is to introduce a Viterbi search-based morphological ana...

This paper puts forward an analysis of scope interactions between Japanese adverbial quantifiers like mainichi 'everyday' and tokidoki 'sometimes' and a negative morpheme nai 'not' on the basis of Aocus)-structures. In this analysis, three f-structures are assigned to a sentence with an adverbial quantifier and a negative morpheme. One of them represents a negation-wide reading, and the other t...

This paper presents how to mine formulation rules from a named organization corpus. The TEIRESIAS algorithm, which is widely used in bioinformatics domain, is adopted. The experimental results based on MET2 test bed show that the approach of regarding the morpheme of a keyword as a cluster is the best, the approach of regarding all the keywords as the same cluster is the next, and the approach ...

This paper introduces Uighur morpheme segmentation, which is a basic part of the comprehensive effort of the Uighur language corpus compilation, conducted at Xinjiang University in cooperation with Kyoto University. Uighur is an agglutinative language with word structures formed by productive affixation of derivational and inflectional suffixes to stems. Derivational suffixes change the meaning...