The empirical base of linguistics: Grammaticality judgments and linguistic methodology
By Carson T. Schütze. 1998
Preface Acknowledgments 1: Introduction 2: Definitions and Historical Background 3: Judging Grammaticality: The Nature of Metalinguistic Performance 4: Subject-Related Factors in Grammaticality Judgments 5: Task-Related Factors in Grammaticality Judgments 6: Theoretical and Methodological Implications 7: Looking Back and Looking Ahead References Index
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Samuel R. Bowman
- Tal Linzen
- Mohit Bansal
- Luke S. Zettlemoyer
- Douwe Kiela
- Yejin Choi
- Jianfeng Gao
- Omer Levy
Citations in the corpus
- Neural Network Acceptability Judgments (2018, methodology): “mary source of empirical data in much of theoretical linguistics, and the goal of a generative grammar is to generate all and only those sentences which native speakers find acceptable (Chomsky, 1957; Schutze, 1996).¨ Despite this centrality, there has been relatively little work on acceptability cla”
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018, background): “However, judgments of this particular kind are the primary form of evidence in linguistic theory (Schütze, 1996), and were a machine learning system to be able to predict them reliably, it would offer potentially substantial evidence on questions of language learnability and innate bias.”
- Revealing the Dark Secrets of BERT (2019, background): “4, which is explained by the problems with the underlying methodology (Schutze, 1996).”
- Masked Language Model Scoring (2019, positive): “In this work we interpret fluency as linguistic acceptability (Chomsky, 1957); informally, the syntactic and semantic validity of a sentence according to human judgments (Schütze, 1996).”
- BLiMP: The Benchmark of Linguistic Minimal Pairs for English (2019, neutral): “Acceptability judgments are the main form of behavioral data used in generative linguistics to measure human linguistic competence (Chomsky, 1965; Schütze, 1996).”
- Can neural networks acquire a structural bias from raw linguistic data? (2020, background): “These models can perform human-like acceptability judgments, which are understood in linguistics as a probe on linguistics competence (Schütze, 1996).”
- Using the Web to Obtain Frequencies for Unseen Bigrams (2003, background): “In this way, each subject can establish their own rating scale, thus yielding maximally (cid:12)ne-graded data and avoiding the known problems with the conventional ordinal scales for linguistic data (Bard, Robertson, and Sorace, 1996; Cowart, 1997; Sch¨utze, 1996).”
- The island status of clausal complements: Evidence in favor of an information structure explanation (2008, background): “…to be judged as more acceptable, all other things being equal (Ambridge et al. 2008b; Featherston 2005; Keller 2000; Kempen and Harbusch 2003, 2004; Schuetze 1996); yet the high frequency do was compared with the low frequency would, and the high frequency think was compared with lower frequency…”
- Gradient Well-Formedness in Optimality Theory (2000, background): “A problem with this view, as Schütze (1996, 64) has pointed out, is that patterns of gradient wellformedness often seem to be driven by the very same principles that govern absolute well-formedness.”
- Structural facilitation: Mere exposure effects for grammatical acceptability as evidence for syntactic priming in comprehension (2005, background): “While this research concerns memory and language processing and not grammaticality judgments per se, our Wndings do have relevance for the use of grammaticality judgments as the basis of linguistic methodology (Levelt, 1974; McCawley, 1996; Schütze, 1996).”