Frank Keller
Biographic Data
| ID | 736532 |
|---|---|
| NAME | Frank Keller |
| GIVEN NAMES | Frank |
| FAMILY NAME | Keller |
| SIGNATURE | KELLER F |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0002-8242-4362 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 87 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 5 |
Leveraging Context for Perceptual Prediction Using Word Embeddings
Word embeddings derived from large language corpora have been successfully used in cognitive science and artificial intelligence to represent linguistic meaning. However, there is continued debate as to how well they encode useful information about the perceptual qualities of concepts. This debate is critical to identifying the scope of embodiment in human semantics. If perceptual object properties can be inferred from word embeddings derived fro…
Tracking e-reading behavior
Although electronic reading of fiction has become mainstream, little is known about how electronic texts are read, and whether this behavior is connected to readers’ motivation or experience reading electronically. To address this gap, sixty undergraduate students’ reading behavior was tracked while reading a 15-page short story. A novel method was used to study participants’ frequency of task-switching, their reading speed, and navigational patt…
Modeling task effects in human reading with neural network-based attention
Incremental, Predictive Parsing with Psycholinguistically Motivated Tree-Adjoining Grammar
Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntactic structure is anticipated). There is currently no broad-coverage parsing model with these properties, however. In this article, we present the first broad-coverage probabilistic parser for PLTAG, a variant of TAG that supports all three requirement…
A Computational Cognitive Model of Syntactic Priming
The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short‐term priming and long‐lasting adaptation. To explain both effects, we present an ACT‐R model of syntactic priming based on a wide‐coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well‐established ACT‐R mechanisms, base‐level learning and spreading activatio…
Data from eye-tracking corpora as evidence for theories of syntactic processing complexity
Locality, Cyclicity, and Resumption
We present an experimental investigation of the role of resumptive pronouns. We investigate object extraction in WH-questions for a range of syntactic configurations (nonislands, weak islands, strong islands) and for multiple levels of embedding (single, double, and triple). In order to establish the crosslinguistic properties of resumption, parallel experiments were conducted in three languages, viz. English, Greek, and German. Three main experi…
Gradience in linguistic data
Using the Web to Obtain Frequencies for Unseen Bigrams
This article shows that the Web can be employed to obtain frequencies for bigrams that are unseen in a given corpus. We describe a method for retrieving counts for adjective-noun, noun-noun, and verb-object bigrams from the Web by querying a search engine. We evaluate this method by demonstrating: (a) a high correlation between Web frequencies and corpus frequencies; (b) a reliable correlation between Web frequencies and plausibility judgments; (…
Gradient auxiliary selection and impersonal passivization in German
The main purpose of this paper is to provide experimental evidence that two syntactic reflexes of split intransitivity in German – the selection of perfective auxiliaries and the impersonal passive construction – are sensitive to an aspectual/thematic hierarchy of verb classes. We show that there is a split between ‘core’ verbs that elicit categorical intuitions from native speakers, and ‘intermediate’ verbs that exhibit gradience. Furthermore, c…
Probabilistic Learning Algorithms and Optimality Theory
This article provides a critical assessment of the Gradual Learning Algorithm (GLA) for probabilistic optimality-theoretic (OT) grammars proposed by Boersma and Hayes (2001). We discuss the limitations of a standard algorithm for OT learning and outline how the GLA attempts to overcome these limitations. We point out a number of serious shortcomings with the GLA: (a) A methodological problem is that the GLA has not been tested on unseen data, whi…
Verb Frame Frequency as a Predictor of Verb Bias
Experimental Syntax
Introduction Are Judgements Stable? Error Variance in Sentence Judgements Designing Experiments on Acceptability The Sentence Judgement Task Presenting Sentence Materials to Informants Response Methods and Scaling Issues Sampling Settings for Experiments The Organization and Construction of Questionnaires Coding and Decoding the Data Summarizing the Data Statistical Issues
Gradience in linguistic data
Locality, Cyclicity, and Resumption
We present an experimental investigation of the role of resumptive pronouns. We investigate object extraction in WH-questions for a range of syntactic configurations (nonislands, weak islands, strong islands) and for multiple levels of embedding (single, double, and triple). In order to establish the crosslinguistic properties of resumption, parallel experiments were conducted in three languages, viz. English, Greek, and German. Three main experi…
Using the Web to Obtain Frequencies for Unseen Bigrams
This article shows that the Web can be employed to obtain frequencies for bigrams that are unseen in a given corpus. We describe a method for retrieving counts for adjective-noun, noun-noun, and verb-object bigrams from the Web by querying a search engine. We evaluate this method by demonstrating: (a) a high correlation between Web frequencies and corpus frequencies; (b) a reliable correlation between Web frequencies and plausibility judgments; (…
Gradient auxiliary selection and impersonal passivization in German
The main purpose of this paper is to provide experimental evidence that two syntactic reflexes of split intransitivity in German – the selection of perfective auxiliaries and the impersonal passive construction – are sensitive to an aspectual/thematic hierarchy of verb classes. We show that there is a split between ‘core’ verbs that elicit categorical intuitions from native speakers, and ‘intermediate’ verbs that exhibit gradience. Furthermore, c…
Probabilistic Learning Algorithms and Optimality Theory
This article provides a critical assessment of the Gradual Learning Algorithm (GLA) for probabilistic optimality-theoretic (OT) grammars proposed by Boersma and Hayes (2001). We discuss the limitations of a standard algorithm for OT learning and outline how the GLA attempts to overcome these limitations. We point out a number of serious shortcomings with the GLA: (a) A methodological problem is that the GLA has not been tested on unseen data, whi…
Incremental, Predictive Parsing with Psycholinguistically Motivated Tree-Adjoining Grammar
Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntactic structure is anticipated). There is currently no broad-coverage parsing model with these properties, however. In this article, we present the first broad-coverage probabilistic parser for PLTAG, a variant of TAG that supports all three requirement…
Verb Frame Frequency as a Predictor of Verb Bias
Experimental Syntax
Introduction Are Judgements Stable? Error Variance in Sentence Judgements Designing Experiments on Acceptability The Sentence Judgement Task Presenting Sentence Materials to Informants Response Methods and Scaling Issues Sampling Settings for Experiments The Organization and Construction of Questionnaires Coding and Decoding the Data Summarizing the Data Statistical Issues
Verb Frame Frequency as a Predictor of Verb Bias
Probabilistic Learning Algorithms and Optimality Theory
This article provides a critical assessment of the Gradual Learning Algorithm (GLA) for probabilistic optimality-theoretic (OT) grammars proposed by Boersma and Hayes (2001). We discuss the limitations of a standard algorithm for OT learning and outline how the GLA attempts to overcome these limitations. We point out a number of serious shortcomings with the GLA: (a) A methodological problem is that the GLA has not been tested on unseen data, whi…
Using the Web to Obtain Frequencies for Unseen Bigrams
This article shows that the Web can be employed to obtain frequencies for bigrams that are unseen in a given corpus. We describe a method for retrieving counts for adjective-noun, noun-noun, and verb-object bigrams from the Web by querying a search engine. We evaluate this method by demonstrating: (a) a high correlation between Web frequencies and corpus frequencies; (b) a reliable correlation between Web frequencies and plausibility judgments; (…
Gradient auxiliary selection and impersonal passivization in German
The main purpose of this paper is to provide experimental evidence that two syntactic reflexes of split intransitivity in German – the selection of perfective auxiliaries and the impersonal passive construction – are sensitive to an aspectual/thematic hierarchy of verb classes. We show that there is a split between ‘core’ verbs that elicit categorical intuitions from native speakers, and ‘intermediate’ verbs that exhibit gradience. Furthermore, c…
Gradience in linguistic data
Locality, Cyclicity, and Resumption
We present an experimental investigation of the role of resumptive pronouns. We investigate object extraction in WH-questions for a range of syntactic configurations (nonislands, weak islands, strong islands) and for multiple levels of embedding (single, double, and triple). In order to establish the crosslinguistic properties of resumption, parallel experiments were conducted in three languages, viz. English, Greek, and German. Three main experi…
Data from eye-tracking corpora as evidence for theories of syntactic processing complexity
A Computational Cognitive Model of Syntactic Priming
The psycholinguistic literature has identified two syntactic adaptation effects in language production: rapidly decaying short‐term priming and long‐lasting adaptation. To explain both effects, we present an ACT‐R model of syntactic priming based on a wide‐coverage, lexicalized syntactic theory that explains priming as facilitation of lexical access. In this model, two well‐established ACT‐R mechanisms, base‐level learning and spreading activatio…
Incremental, Predictive Parsing with Psycholinguistically Motivated Tree-Adjoining Grammar
Psycholinguistic research shows that key properties of the human sentence processor are incrementality, connectedness (partial structures contain no unattached nodes), and prediction (upcoming syntactic structure is anticipated). There is currently no broad-coverage parsing model with these properties, however. In this article, we present the first broad-coverage probabilistic parser for PLTAG, a variant of TAG that supports all three requirement…
Modeling task effects in human reading with neural network-based attention
Tracking e-reading behavior
Although electronic reading of fiction has become mainstream, little is known about how electronic texts are read, and whether this behavior is connected to readers’ motivation or experience reading electronically. To address this gap, sixty undergraduate students’ reading behavior was tracked while reading a 15-page short story. A novel method was used to study participants’ frequency of task-switching, their reading speed, and navigational patt…
Leveraging Context for Perceptual Prediction Using Word Embeddings
Word embeddings derived from large language corpora have been successfully used in cognitive science and artificial intelligence to represent linguistic meaning. However, there is continued debate as to how well they encode useful information about the perceptual qualities of concepts. This debate is critical to identifying the scope of embodiment in human semantics. If perceptual object properties can be inferred from word embeddings derived fro…
Computer Science (13 works) · Linguistics (12 works) · Natural language processing (10 works) · Artificial Intelligence (9 works) · Psychology (9 works) · Artificial Intelligence (8 works) · Mathematics (5 works) · Cognitive psychology (4 works) · Grammar (4 works) · Natural Language Processing Techniques (4 works)