This dissertation is an inquiry into the history of Chinese computer-based word processing technologies from 1958 to 1997. My purpose in looking into the history is to answer, how the development and usage of word-processing technologies have contributed to knowledge production, by shaping the understanding of what information technologies can do.…

This dissertation explores four Korean discourse markers derived from question words: "mwe" (what), "way" (why), "ettehkey" (how), and "mwusun" (which; what kind of). Most Korean question words have an additional function as indefinite words that refer to a nonspecific referent (Kim, 2000; Yang, 2005). In…

This dissertation uses a corpus of tokens retrieved from broadcast news stories and print news articles to examine the array of constructions used to encode stative predications in Modern Standard Arabic. A state is defined as a situation that includes its reference time, whether that time is encoding time or another time of orientation. A range…

One of the most critical steps to integrating heterogeneous e-Business applications using different XML schemas is schema matching, which is known to be costly and error-prone. Many automatic schema matching approaches have been proposed, but the challenge is still daunting because of the complexity of schemas and immaturity of technologies in…

TV shows, especially soap operas and sitcoms, are usually considered by ESL practitioners as a source of authentic spoken conversational materials presumably because they reflect the linguistic features of natural conversation. However, practitioners might be faced with the dilemma of how to evaluate whether such conversational materials reflect…

Treebanks are a necessary prerequisite for many NLP tasks, including, but not limited to, semantic role labeling. For many languages, however, treebanks are either nonexistent or too small to be useful. Time-critical applications may require rapid deployment of natural language software for a new critical language--much faster than the development…

In the current millennium, extensive use of computers and the internet caused an exponential increase in information. Few research areas are as important as information extraction, which primarily involves extracting concepts and the relations between them from free text. Limitations in the size of training data, lack of lexicons and lack of…

Coreference resolution (CR) and entity relation detection (ERD) aim at finding predefined relations between pairs of entities in text. CR focuses on resolving identity relations while ERD focuses on detecting non-identity relations. Both CR and ERD are important as they can potentially improve other natural language processing (NLP) related tasks…

The variety and complexity of potentially-related data resources available for querying--webpages, databases, data warehouses--has been growing ever more rapidly. There is a growing need to pose integrative queries "across" multiple such sources, exploiting foreign keys and other means of interlinking data to merge information from diverse…

For over 30 years, reference resolution, the process of determining what a noun phrase including a pronoun refers to in written and spoken language, has been an important and on-going area of research. Most existing pronominal reference resolution algorithms and systems are designed to use syntactic information and surface features (e.g. number…

The three objectives of this dissertation were to develop a question type model for predicting linguistic features of responses to interview questions, create a tool for linguistic analysis of documents, and use lexical bundle analysis to identify linguistic differences between fraudulent and non-fraudulent financial reports. First, The Moffitt…

One of the problems associated with automatic thesaurus construction is with determining the semantic relationship between word pairs. Quasi-synonyms provide a type of equivalence relationship: words are similar only for purposes of information retrieval. Determining such relationships in a thesaurus is hard to achieve automatically. The term…