Search results for "Natural language"
showing 10 items of 650 documents
Efecto de las Características del Problema, Captación de su Estructura y Uso de Analogías sobre el Éxito de los Estudiantes de Secundaria en la Resol…
2015
This study analyses the influence of academic level, academic itinerary, word problem’s context and structure, capturing problem structure, and using analogies on problem-solving. A factorial design was used with one within-subjects variable and several between-subjects variables, which have been selected depending on the hypothesis in question. Two types of booklets containing two word problems and questions about capturing problem structure and using analogies in problem solving, were administered to a total of 181 grade-10 and grade-12 students. The results of non-parametric statistical tests showed that: a) Academic level and academic itinerary are decisive variables in problem solving,…
Inter-annotator agreement in spoken language annotation: Applying uα-family coefficients to discourse segmentation
2021
As databases make Corpus Linguistics a common tool for most linguists, corpus annotation becomes an increasingly important process. Corpus users do not need only raw data, but also annotated data, submitted to tagging or parsing processes through annotation protocols. One problem with corpus annotation lies in its reliability, that is, in the probability that its results can be replicable by independent researchers. Inter-annotation agreement (IAA) is the process which evaluates the probability that, applying the same protocol, different annotators reach similar results. To measure agreement, different statistical metrics are used. This study applies IAA for the first time to the Valencia E…
Turing's error-revised
2016
Many important lines of argumentation have been presented during the last decades claiming that machines cannot think like people. Yet, it has been possible to construct devices and information systems, which replace people in tasks which have previously been occupied by people as the tasks require intelligence. The long and versatile discourse over, what machine intelligence is, suggests that there is something unclear in the foundations of the discourse itself. Therefore, we critically studied the foundations of used theory languages. By looking critically some of the main arguments of machine thinking, one can find unifying factors. Most of them are based on the fact that computers canno…
Measuring syntactic complexity in learner Finnish
2020
In the study of complexity, accuracy and fluency (CAF), syntactic complexity can be measured by a multitude of measures. Traditionally, the measures are quantitative and they use production units such as words, clauses, T -units, and sentences. Despite the vast number o f measures available, many studies have used only one or two of them, or parallel ones tapping the same component of complexity. The present study explores syntactic complexity using seven frequently used quantitative complexity measures to gauge different facets of complexity in written learner Finnish. The data of the study consist of texts written by adult and adolescent language learners, and they cover proficiency level…
Words, clauses, sentences, and T-units in learner language: Precise and objective units of measure?
2020
In research on learner language complexity, accuracy and fluency (CAF), syntactic complexity is often studied with quantitative measures based on words, clauses, sentences, and T-units. The findings have been mixed, but segmenting learner language into these units of measure has seldom been problematised, even if the need for accurate coding is well known. The present study explores words, clauses, sentences, and T-units as production units in written learner language using a corpus of 352 L2 Finnish texts (28,813 words). The results illustrate how written learner language can be hard to fit into the production unit categories, which are essential for the most frequently used quantitative m…
Lexically specific vs. productive constructions in L2 Finnish
2020
ABSTRACTIt is assumed from a usage-based perspective that learner language constructions emerge from natural language use in social interaction through exemplar learning. In L1, young learners have been shown to develop their constructions from lexically specific, formulaic expressions into more productive, abstract schemas. A similar developmental path has been shown for L2 development, with some exceptions. The aim of the current study is to explore to what extent the default assumption holds for L2 learning. The development of two constructions was traced in four adults learning L2 Finnish. Free-response data, collected weekly over a period of 9 months, were used to investigate the produ…
New is not always costly: evidence from online processing of topic and contrast in Japanese.
2013
Two visual ERP experiments were conducted to investigate topic and contrast assigned by various cues such as discourse context, sentential position and marker during referential processing in Japanese. Experiment 1 showed that there was no N400-difference for new vs. given noun phrases (NPs) when the new NP was expected (contrastively focused) based on its preceding context and sentential position. Experiment 2 further revealed that the N400 for new NPs can be modulated by the NP’s contrastive meaning (exhausitivity) induced from the marker. Both experiments also showed that new NPs engendered an increased Late Positivity. The reduced N400 for new vs. given supports an expectation-based lin…
Comparing the Effect of Product-Based Metrics on the Translation Process
2021
Characteristics of the translation product are often used in translation process research as predictors for cognitive load, and by extension translation difficulty. In the last decade, user-activity information such as eye-tracking data has been increasingly employed as an experimental tool for that purpose. In this paper, we take a similar approach. We look for significant effects that different predictors may have on three different eye-tracking measures: First Fixation Duration (duration of first fixation on a token), Eye-Key Span (duration between first fixation on a token and the first keystroke contributing to its translation), and Total Reading Time on source tokens (sum of fixations…
UCOT: Semiautomatic Generation of Conceptual Models from Use Case Descriptions
2008
This paper describes a prototype of a system to auto matically analyze use cases and create a conceptual model based on the analysis. Grammatical parser and Abbott’s heuristic are used to process the use cases. User can modify the conceptual model by refining entities and relations, as well as roles for the entities. The model can be exported to be further utilized with object oriented analysis or domain specific modeling. The system is evaluated based on the analysis of use cases used to describe the system itself. The quality of models depends essentially on the quality and writing conventions of the use cases. If the use cases are written using subject-predicate-object struc ture and usage…
Teaching and Learning of Geometry as a process of Objectification: conditions and obstacles to argumentation and proof. The role of natural language,…
2021
This paper examines some examples (taken from research conducted over the years) that show students’ linguistic attitudes in geometry tasks. The examples are framed within the Theory of Objectification with reference to the notion of sensuous cognition, semiotic means of objectification and levels of generality. We show the struggle students live, at higher levels of generality, in intertwining natural language, specific language and the spontaneous use of geometrical figures, bound to perception and kinaesthetic activity. Within the networking paradigm, we coordinate the Theory of Objectification and Duval’s semio-cognitive approach to frame the interplay between the ideal and the material…