43,995 research outputs found
Information Processing in a Cognitive Model of NLP
A model of the cognitive process of natural language processing has been developed using the
formalism of generalized nets. Following this stage-simulating model, the treatment of information inevitably
includes phases, which require joint operations in two knowledge spaces – language and semantics. In order to
examine and formalize the relations between the language and the semantic levels of treatment, the language is
presented as an information system, conceived on the bases of human cognitive resources, semantic primitives,
semantic operators and language rules and data. This approach is applied for modeling a specific grammatical
rule – the secondary predication in Russian. Grammatical rules of the language space are expressed as
operators in the semantic space. Examples from the linguistics domain are treated and several conclusions for
the semantics of the modeled rule are made. The results of applying the information system approach to the
language turn up to be consistent with the stages of treatment modeled with the generalized net
Comparing teacher and student perspectives regarding the use of L1 in EFL chilean high school classrooms
Tesis (Profesor de Inglés para la Enseñanza Básica y Media y al grado académico de Licenciado en Educación)In the Chilean context, English teachers are commanded to perform one hundred percent English classes, but unfortunately, this is not accomplished in every context; hence, this study decided to explore and compare teachers’ and students’ perspectives regarding the use of L1 in the EFL Chilean high school classroom. A quantitative instrument was applied to a total population of 510 being both teachers and students from different districts of Santiago. The results obtained in this study portrayed that both teachers and students agreed on the L1 usage under different situations, these ranging from grammar explanation lessons to managing discipline
Filling Knowledge Gaps in a Broad-Coverage Machine Translation System
Knowledge-based machine translation (KBMT) techniques yield high quality in
domains with detailed semantic models, limited vocabulary, and controlled input
grammar. Scaling up along these dimensions means acquiring large knowledge
resources. It also means behaving reasonably when definitive knowledge is not
yet available. This paper describes how we can fill various KBMT knowledge
gaps, often using robust statistical techniques. We describe quantitative and
qualitative results from JAPANGLOSS, a broad-coverage Japanese-English MT
system.Comment: 7 pages, Compressed and uuencoded postscript. To appear: IJCAI-9
DNA ANALYSIS USING GRAMMATICAL INFERENCE
An accurate language definition capable of distinguishing between coding and non-coding DNA has important applications and analytical significance to the field of computational biology. The method proposed here uses positive sample grammatical inference and statistical information to infer languages for coding DNA.
An algorithm is proposed for the searching of an optimal subset of input sequences for the inference of regular grammars by optimizing a relevant accuracy metric. The algorithm does not guarantee the finding of the optimal subset; however, testing shows improvement in accuracy and performance over the basis algorithm.
Testing shows that the accuracy of inferred languages for components of DNA are consistently accurate. By using the proposed algorithm languages are inferred for coding DNA with average conditional probability over 80%. This reveals that languages for components of DNA can be inferred and are useful independent of the process that created them. These languages can then be analyzed or used for other tasks in computational biology.
To illustrate potential applications of regular grammars for DNA components, an inferred language for exon sequences is applied as post processing to Hidden Markov exon prediction to reduce the number of wrong exons detected and improve the specificity of the model significantly
Distinction Between Inflection and Derivation of Learning Reduplication in Mandarin
Reduplication as a word-formation process in Mandarin, which is one of the most difficult knowledge to comprehend for scholar and student. Theoretically this research offers an approach that is different from what has been made by previous researchers. Using the M.D.S Simatupang free context approach this research contrasts the reduplicative forms of all word classes and shows the relationships between them (AA, AABB, ABAB, ABB) and their basic forms (A, AB), then based on test of categorical word and test of lexical decomposition as proposed by J.W.M Verhaar, this study analyzes and explains reduplication and inflectional reduplication in Mandarin in order to students understand as their meaning vocabularies. As a result, this research examines the derivational and inflectional reduplication in Mandarin all at once can disseminate the use of morphological theory. In addition, this study discusses Mandarin reduplication based on various word classes that are contained as a basis for the relevant form of reduplication. Beginner research results will be presented in this study in order to stimulate more complete writing, it will be better if this research can be disseminated in order to add learning and reading material for future research
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