UNITRAN: A Principle-Based Approach to Machine Translation

Machine translation has been a particularly difficult problem in the area of Natural Language Processing for over two decades. Early approaches to translation failed since interaction effects of complex phenomena in part made translation appear to be unmanageable. Later approaches to the problem have succeeded (although only bilingually), but are based on many language-specific rules of a context-free nature. This report presents an alternative approach to natural language translation that relies on principle-based descriptions of grammar rather than rule-oriented descriptions. The model that has been constructed is based on abstract principles as developed by Chomsky (1981) and several other researchers working within the "Government and Binding" (GB) framework. Thus, the grammar is viewed as a modular system of principles rather than a large set of ad hoc language-specific rules.

A Detailed Look at Scale and Translation Invariance in a Hierarchical Neural Model of Visual Object Recognition

The HMAX model has recently been proposed by Riesenhuber & Poggio as a hierarchical model of position- and size-invariant object recognition in visual cortex. It has also turned out to model successfully a number of other properties of the ventral visual stream (the visual pathway thought to be crucial for object recognition in cortex), and particularly of (view-tuned) neurons in macaque inferotemporal cortex, the brain area at the top of the ventral stream. The original modeling study only used ``paperclip'' stimuli, as in the corresponding physiology experiment, and did not explore systematically how model units' invariance properties depended on model parameters. In this study, we aimed at a deeper understanding of the inner workings of HMAX and its performance for various parameter settings and ``natural'' stimulus classes. We examined HMAX responses for different stimulus sizes and positions systematically and found a dependence of model units' responses on stimulus position for which a quantitative description is offered. Interestingly, we find that scale invariance properties of hierarchical neural models are not independent of stimulus class, as opposed to translation invariance, even though both are affine transformations within the image plane.

Translation Invariance in Object Recognition, and Its Relation to Other Visual Transformations

Human object recognition is generally considered to tolerate changes of the stimulus position in the visual field. A number of recent studies, however, have cast doubt on the completeness of translation invariance. In a new series of experiments we tried to investigate whether positional specificity of short-term memory is a general property of visual perception. We tested same/different discrimination of computer graphics models that were displayed at the same or at different locations of the visual field, and found complete translation invariance, regardless of the similarity of the animals and irrespective of direction and size of the displacement (Exp. 1 and 2). Decisions were strongly biased towards same decisions if stimuli appeared at a constant location, while after translation subjects displayed a tendency towards different decisions. Even if the spatial order of animal limbs was randomized ("scrambled animals"), no deteriorating effect of shifts in the field of view could be detected (Exp. 3). However, if the influence of single features was reduced (Exp. 4 and 5) small but significant effects of translation could be obtained. Under conditions that do not reveal an influence of translation, rotation in depth strongly interferes with recognition (Exp. 6). Changes of stimulus size did not reduce performance (Exp. 7). Tolerance to these object transformations seems to rely on different brain mechanisms, with translation and scale invariance being achieved in principle, while rotation invariance is not.

Translation of the Decision of the International Court of Justice related to the Case concerning the dispute regarding navigational and related rights (Costa Rica v. Nicaragua) Judgment

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Influencia del bajo peso al nacer en el cumplimiento del esquema de vacunación en Colombia

INTRODUCCION. En Colombia y a nivel mundial la vacunación es una estrategia que ha reducido la mortalidad infantil, sin embargo existen bajas coberturas en algunas zonas del país, dentro de las causas de la no vacunación se encuentra el bajo peso al nacer, tema de gran importancia y poco estudiado, encontrándose como una causa controlable y que permitiría a la población acceder a la protección frente a enfermedades inmunoprevenibles. MATERIALES Y METODOS. Se realizó un estudio de tipo observacional de corte trasversal, la muestra fue tomada de la ENDS realizada por Profamilia en el año 2010, se tomó el número total de los encuestados que cumplían con los criterios de inclusión, en total fueron 9694 registros a los que se les realizo; análisis descriptivo, bivariado y multivariado. RESULTADOS. Los niños con bajo peso al nacer tienen menor probabilidad de estar vacunados con el esquema completo con respecto a los niños con peso normal, OR 0762 (IC 95% 0,650; 0,895), se observó que las vacunas en forma individual tienen un comportamiento similar al esquema completo, específicamente en la aplicación en el tiempo indicado para su aplicación, exceptuando triple viral donde no se encontró asociación. CONCLUSION. El bajo peso es un factor determinante en la vacunación a tiempo de los menores y del cumplimiento posterior del esquema, se encontraron variables asociadas al no cumplimiento como el lugar del parto, el índice de pobreza y pertenecer a la etnia afrodescendiente.

Lost in translation (perdidos en la traducción) : tutores o mentores que aprenden a participar en discursos competitivos de la práctica educativa.

Resumen basado en el de la publicación. Monografía con el título 'La tarea de enseñar: atraer, formar, retener y desarrollar buen profesorado'

Students reflections on pedagogical translation in Spanish as a foreign language

Resumen basado en el de la publicaci??n

The influence of ideology on the translation of Mao Zedong’s poems

Mao Zedong’s poems hold an important place in the history of Chinese literature. From the perspective of manipulation theory, the paper aims at exploring the influences that ideology exerted on the translation of Mao Zedong’s poems. These influences have manifested themselves mainly in such aspects as the organizing of translation activity, the selection of source texts, the comprehension of the texts and the freedom translators enjoy to render the poems.

Analisis Gramatical del Lenguaje Elicitado Nivel Sencillo: A Spanish translation of the Grammatical Analysis of Elicited Language: Simple Sentence Level

This paper presents a Spanish translation of the Grammatical Analysis of Elicited Language: Simple Sentence Level. Also included are some suggested changes in vocabulary and sentence structure for the Spanish version.

Distributional semantics and machine learning for statistical machine translation

[EU]Lan honetan semantika distribuzionalaren eta ikasketa automatikoaren erabilera aztertzen dugu itzulpen automatiko estatistikoa hobetzeko. Bide horretan, erregresio logistikoan oinarritutako ikasketa automatikoko eredu bat proposatzen dugu hitz-segiden itzulpen- probabilitatea modu dinamikoan modelatzeko. Proposatutako eredua itzulpen automatiko estatistikoko ohiko itzulpen-probabilitateen orokortze bat dela frogatzen dugu, eta testuinguruko nahiz semantika distribuzionaleko informazioa barneratzeko baliatu ezaugarri lexiko, hitz-cluster eta hitzen errepresentazio bektorialen bidez. Horretaz gain, semantika distribuzionaleko ezagutza itzulpen automatiko estatistikoan txertatzeko beste hurbilpen bat lantzen dugu: hitzen errepresentazio bektorial elebidunak erabiltzea hitz-segiden itzulpenen antzekotasuna modelatzeko. Gure esperimentuek proposatutako ereduen baliagarritasuna erakusten dute, emaitza itxaropentsuak eskuratuz oinarrizko sistema sendo baten gainean. Era berean, gure lanak ekarpen garrantzitsuak egiten ditu errepresentazio bektorialen mapaketa elebidunei eta hitzen errepresentazio bektorialetan oinarritutako hitz-segiden antzekotasun neurriei dagokienean, itzulpen automatikoaz haratago balio propio bat dutenak semantika distribuzionalaren arloan.