4,517 research outputs found
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Educating consent? A conversation with Noam Chomsky on the university and business school education
In what follows, we present a conversation with Professor Noam Chomsky on the topic of whether the business school might be a site for progressive political change. The conversation covers a number of key issues related to pedagogy, corporate social responsibility and working conditions in the contemporary business school. We hope the conversion will contribute to the ongoing discussion about the role of the business school in neoliberal societies
The âGalilean Style in Scienceâ and the Inconsistency of Linguistic Theorising
Chomskyâs principle of epistemological tolerance says that in theoretical linguistics contradictions between the data and the hypotheses may be temporarily tolerated in order to protect the explanatory power of the theory. The paper raises the following problem: What kinds of contradictions may be tolerated between the data and the hypotheses in theoretical linguistics? First a model of paraconsistent logic is introduced which differentiates between week and strong contradiction. As a second step, a case study is carried out which exemplifies that the principle of epistemological tolerance may be interpreted as the tolerance of week contradiction. The third step of the argumentation focuses on another case study which exemplifies that the principle of epistemological tolerance must not be interpreted as the tolerance of strong contradiction. The reason for the latter insight is the unreliability and the uncertainty of introspective data. From this finding the author draws the conclusion that it is the integration of different data types that may lead to the improvement of current theoretical linguistics and that the integration of different data types requires a novel methodology which, for the time being, is not available
The âGalilean Style in Scienceâ and the Inconsistency of Linguistic Theorising
Chomskyâs principle of epistemological tolerance says that in theoretical linguistics contradictions between the data and the hypotheses may be temporarily tolerated in order to protect the explanatory power of the theory. The paper raises the following problem: What kinds of contradictions may be tolerated between the data and the hypotheses in theoretical linguistics? First a model of paraconsistent logic is introduced which differentiates between week and strong contradiction. As a second step, a case study is carried out which exemplifies that the principle of epistemological tolerance may be interpreted as the tolerance of week contradiction. The third step of the argumentation focuses on another case study which exemplifies that the principle of epistemological tolerance must not be interpreted as the tolerance of strong contradiction. The reason for the latter insight is the unreliability and the uncertainty of introspective data. From this finding the author draws the conclusion that it is the integration of different data types that may lead to the improvement of current theoretical linguistics and that the integration of different data types requires a novel methodology which, for the time being, is not available
Patterns versus Characters in Subword-aware Neural Language Modeling
Words in some natural languages can have a composite structure. Elements of
this structure include the root (that could also be composite), prefixes and
suffixes with which various nuances and relations to other words can be
expressed. Thus, in order to build a proper word representation one must take
into account its internal structure. From a corpus of texts we extract a set of
frequent subwords and from the latter set we select patterns, i.e. subwords
which encapsulate information on character -gram regularities. The selection
is made using the pattern-based Conditional Random Field model with
regularization. Further, for every word we construct a new sequence over an
alphabet of patterns. The new alphabet's symbols confine a local statistical
context stronger than the characters, therefore they allow better
representations in and are better building blocks for word
representation. In the task of subword-aware language modeling, pattern-based
models outperform character-based analogues by 2-20 perplexity points. Also, a
recurrent neural network in which a word is represented as a sum of embeddings
of its patterns is on par with a competitive and significantly more
sophisticated character-based convolutional architecture.Comment: 10 page
Aspects of the theory of syntax Special technical report no. 11
Formulation of transformational grammar - syntax theor
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Spring School on Language, Music, and Cognition: Organizing Events in Time
The interdisciplinary spring school âLanguage, music, and cognition: Organizing events in timeâ was held from February 26 to March 2, 2018 at the Institute of Musicology of the University of Cologne. Language, speech, and music as events in time were explored from different perspectives including evolutionary biology, social cognition, developmental psychology, cognitive neuroscience of speech, language, and communication, as well as computational and biological approaches to language and music. There were 10 lectures, 4 workshops, and 1 student poster session.
Overall, the spring school investigated language and music as neurocognitive systems and focused on a mechanistic approach exploring the neural substrates underlying musical, linguistic, social, and emotional processes and behaviors. In particular, researchers approached questions concerning cognitive processes, computational procedures, and neural mechanisms underlying the temporal organization of language and music, mainly from two perspectives: one was concerned with syntax or structural representations of language and music as neurocognitive systems (i.e., an intrapersonal perspective), while the other emphasized social interaction and emotions in their communicative function (i.e., an interpersonal perspective). The spring school not only acted as a platform for knowledge transfer and exchange but also generated a number of important research questions as challenges for future investigations
Phase transition in a sexual age-structured model of learning foreign languages
The understanding of language competition helps us to predict extinction and
survival of languages spoken by minorities. A simple agent-based model of a
sexual population, based on the Penna model, is built in order to find out
under which circumstances one language dominates other ones. This model
considers that only young people learn foreign languages. The simulations show
a first order phase transition where the ratio between the number of speakers
of different languages is the order parameter and the mutation rate is the
control one.Comment: preliminary version, to be submitted to Int. J. Mod. Phys.
Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures
The presence of Long Distance Dependencies (LDDs) in sequential data poses
significant challenges for computational models. Various recurrent neural
architectures have been designed to mitigate this issue. In order to test these
state-of-the-art architectures, there is growing need for rich benchmarking
datasets. However, one of the drawbacks of existing datasets is the lack of
experimental control with regards to the presence and/or degree of LDDs. This
lack of control limits the analysis of model performance in relation to the
specific challenge posed by LDDs. One way to address this is to use synthetic
data having the properties of subregular languages. The degree of LDDs within
the generated data can be controlled through the k parameter, length of the
generated strings, and by choosing appropriate forbidden strings. In this
paper, we explore the capacity of different RNN extensions to model LDDs, by
evaluating these models on a sequence of SPk synthesized datasets, where each
subsequent dataset exhibits a longer degree of LDD. Even though SPk are simple
languages, the presence of LDDs does have significant impact on the performance
of recurrent neural architectures, thus making them prime candidate in
benchmarking tasks.Comment: International Conference of Artificial Neural Networks (ICANN) 201
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Coargumenthood and the processing of pronouns
We report three eye-movement experiments and an offline task investigating structural constraints on pronoun resolution in different contexts. This included âcoargumentâ contexts in which a pronoun was the direct object of a verb (âThe surgeon remembered that Jonathan had noticed himâ), so-called picture noun phrases (âThe surgeon remembered that Jonathan had a picture of himâ) and picture noun phrases with a possessor (âThe surgeon remembered about Jonathanâs picture of himâ). In each eye-movement experiment, we observed longer reading times when the nonlocal antecedent (âthe surgeonâ) mismatched in stereotypical gender with the pronoun, but little evidence of the gender of the local antecedent (âJonathanâ) influencing reading times. The offline task suggested readers occasionally interpret pronouns as referring to local antecedents, especially in non-coargument contexts. These results suggest that structural constraints constitute more highly weighted cues to antecedent retrieval than gender congruency during the initial stages of memory retrieval during pronoun resolution
EPP in T: More Controversial Subjects
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72351/1/j.1467-9612.2005.00075.x.pd
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