Within the framework of Hengeveld’s approach to parts-of-speech systems, this article shows that Vulanović’s two-dimensional classification of main parts-of-speech system types applies both to the types presented by Hengeveld, Rijkhoff, and Siewierska in their 2004 paper and to the new types recently reported by Hengeveld and van Lier. Hengeveld and van Lier’s principles for explaining the atte...

This study was intended first to categorize the L2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. Moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

The classifying of words according to syntactic usage is basic to language handling; this paper describes an algorithm for automatically classifying words according to thirteen commonly used parts of speech: noun, adjective, verb, past verb, adverb, preposition, conjunction, pronoun, interjection, present participle, past participle, auxiliary verb, and plural or collective noun. The algorithm ...

This paper proposes a method for extracting the correct parts from speech recognition results by using an example-based approach for parsing those results that include several recognition errors. Correct parts are extracted using two factors: (1) the semantic distance between the input expression and example expression, and (2) the structure selected by the shortest semantic distance. We examin...

This paper proposes a method for extracting the correct parts from speech recognition results by using an example-based approach for parsing those results that include several recognition errors. Correct parts are extracted using two factors: (1) the semantic distance between the input expression and example expression, and (2) the structure selected by the shortest semantic distance. We examin...