Long sentence analysis has been a critical problem because of high complexity. This paper addresses the reduction of parsing complexity by intra-sentence segmentation, and presents maximum entropy model for determining segmentation positions. The model features lexical contexts of segmentation positions, giving a probability to each potential position. Segmentation coverage and accuracy of the ...

In Vermaat (1999a) and Vermaat (1999b) we have shown that the basic operations Merge and Move can be covered naturally in multimodal Categorial Grammar (MMCG). On the basis of a feature correspondence between lexical feature specifications in Minimalist Grammar (Stabler, 1999, MG) and the categorial types assigned to lexical entries, a mapping can be made between MG and MMCG. As a conclusion of...

a bilingual corpus is considered as a very important knowledge source and an inevitable requirement for many natural language processing (nlp) applications in which two languages are involved. for some languages such as persian, lack of such resources is much more significant. several applications, including statistical and example-based machine translation needs bilingual corpora, in which lar...

Online sentence comprehension involves multiple types of cognitive processes: lexical processes such as lexical access, which call on the user's knowledge of the meaning of words in the language, and structural processes such as the integration of incoming words into an emerging representation. In this article, we investigate the temporal dynamics of lexical access and syntactic integration. Un...

The abundant research on lexical access in the last 30 years has shown that context effects such as lexical status, morphological complexity, and neighborhood density can affect word recognition. Very little research has investigated interactions between perceptual distinctiveness and context effects. This study used a spoken word recognition in noise experiment with German words and nonwords t...

This paper depicts an optimal method to construct a lexical transducer for Japanese by describing the stems and suuxes in diierent lexicons separately and adding an extra level of the transducers for transducing between canonical citation forms and stem-suux style forms. This method makes it possible to reduce the complexity of rule descriptions and the computational load of intersecting compar...

ABSTRACTThe aim of the study was to investigate the syllable activation hypothesis in French beginning readers. Second graders performed a lexical decision task in which bisyllabic words were presented in two colours that either matched the syllable boundaries or not. The data showed that the children were sensitive to syllable match and to syllable complexity. In addition, good readers were sl...

Sentence simplification aims to reduce the reading complexity of a sentence by incorporating more accessible vocabulary and sentence structure. In this chapter we examine the process of lexical substitution and particularly the role that word sense disambiguation plays in this task. Most previous work substitutes difficult words using a predefined dictionary. We present the challenges faced dur...

Current approaches to computational lexicology in language technology are knowledge-based (competence-oriented) and try to abstract away from specific formalisms, domains, and applications. This results in severe complexity, acquisition and reusability bottlenecks. As an alternative, we propose a particular performance-oriented approach to Natural Language Processing based on automatic memory-b...