The English comparative: Phonology and Usage Martin Hilpert, ICSI Berkeley / Rice University, prouder and more proud Many English.

Slides:



Advertisements
Similar presentations
Chapter 3 Examining Relationships Lindsey Van Cleave AP Statistics September 24, 2006.
Advertisements

Corpora in grammatical studies
Diachronic study and language change Corpus Linguistics Richard Xiao
Influence of Households on Drinking Behaviour: a Multi-level analysis Roy Carr-Hill (and Nigel Rice) Centre for Health Economics University of York.
Introduction to General Linguistics
Tone perception and production by Cantonese-speaking and English- speaking L2 learners of Mandarin Chinese Yen-Chen Hao Indiana University.
Diachronic study and language change Corpus Linguistics Richard Xiao
Results ISI Variance in STP Corpus ISI Variance in BU Corpus * p
ASSESSING SEARCH TERM STRENGTH IN SPOKEN TERM DETECTION Amir Harati and Joseph Picone Institute for Signal and Information Processing, Temple University.
Syntax Lecture 12: Adjectival Phrases. Introduction Adjectives, like any other word, must conform to X-bar principles We expect them – to be heads – to.
AP Statistics Chapters 3 & 4 Measuring Relationships Between 2 Variables.
The Subjunctive in Spoken British English ICAME, Lancaster, 28 th May Jo Close & Bas Aarts, UCL
Predicting the Semantic Orientation of Adjective Vasileios Hatzivassiloglou and Kathleen R. McKeown Presented By Yash Satsangi.
Word Retrieval in a Stem Completion Task: Influence of Number of Potential Responses Christine Chiarello 1, Laura K. Halderman 1, Cathy S. Robinson 1 &
Language, Mind, and Brain by Ewa Dabrowska Chapter 2: Language processing: speed and flexibility.
Efficient Estimation of Emission Probabilities in profile HMM By Virpi Ahola et al Reviewed By Alok Datar.
Sound and Speech. The vocal tract Figures from Graddol et al.
Evaluating an MT French / English System Widad Mustafa El Hadi Ismaïl Timimi Université de Lille III Marianne Dabbadie LexiQuest - Paris.
Phonetics, Phonology, Morphology and Syntax
Regression and Correlation
Inferential statistics Hypothesis testing. Questions statistics can help us answer Is the mean score (or variance) for a given population different from.
A Contrastive Study of English Native Speaker's and Chinese Learner's Use of Existential Construction Tian Ma.
Introduction To know how perceptual and attentional processes and properties of words guide the eyes through a sentence, the following issues are particularly.
England have won the cup.
McEnery, T., Xiao, R. and Y.Tono Corpus-based language studies. Routledge. Unit A 2. Representativeness, balance and sampling (pp13-21)
English versus French: Determinants of eye movement control in reading Sébastien Miellet, Cyril Pernet, Patrick J. O’Donnell, and Sara C. Sereno Department.
Measuring Hint Level in Open Cloze Questions Juan Pino, Maxine Eskenazi Language Technologies Institute Carnegie Mellon University International Florida.
Jelena Mirković and Maryellen C. MacDonald Language and Cognitive Neuroscience Lab, University of Wisconsin-Madison Introduction How to Study Subject-Verb.
MA in English Linguistics Experimental design and statistics Sean Wallis Survey of English Usage University College London
Some thoughts on modelling phonetic effects in corpora.
Research Design. Research is based on Scientific Method Propose a hypothesis that is testable Objective observations are collected Results are analyzed.
Why Is It There? Getting Started with Geographic Information Systems Chapter 6.
Renewable Energy Research Laboratory University of Massachusetts Prediction Uncertainties in Measure- Correlate-Predict Analyses Anthony L. Rogers, Ph.D.
When trying to explain some of the patterns you have observed in your species and community data, it sometimes helps to have a look at relationships between.
Ch 12 Slide 1 Ch 12 – Abstractness We have been doing concrete phonological analyses. There are also abstract analyses. Polish!
Multiple Linear Regression. Purpose To analyze the relationship between a single dependent variable and several independent variables.
Brian Macpherson Ph.D, Professor of Statistics, University of Manitoba Tom Bingham Statistician, The Boeing Company.
Objectives 2.1Scatterplots  Scatterplots  Explanatory and response variables  Interpreting scatterplots  Outliers Adapted from authors’ slides © 2012.
Section 9-1: Inference for Slope and Correlation Section 9-3: Confidence and Prediction Intervals Visit the Maths Study Centre.
1 Statistical NLP: Lecture 7 Collocations. 2 Introduction 4 Collocations are characterized by limited compositionality. 4 Large overlap between the concepts.
Chapter 16 Data Analysis: Testing for Associations.
Relationships If we are doing a study which involves more than one variable, how can we tell if there is a relationship between two (or more) of the.
1 And yeah, it was really good! Positive stance in native and learner speech Sylive De Cock Centre for English Corpus Linguistics Université catholique.
Cluster-specific Named Entity Transliteration Fei Huang HLT/EMNLP 2005.
September 18-19, 2006 – Denver, Colorado Sponsored by the U.S. Department of Housing and Urban Development Conducting and interpreting multivariate analyses.
TREND ANALYSIS DEVELOPED BY KIRK ET AL J.AM.SOC.HORT. SCI. STATISTICAL PROCEDURE TO ACCOUNT FOR SPATIAL VARIBILITY EACH PLOT IS IDENTIFIED BY ROW.
1 Branches of Linguistics. 2 Branches of linguistics Linguists are engaged in a multiplicity of studies, some of which bear little direct relationship.
Ch 8 Slide 1 Some hints about analysis First try to establish morphemes. If there is allomorphy, list all of the alternants (remember some morphemes don’t.
Introduction Chapter 1 Foundations of statistical natural language processing.
MORPHOLOGY definition; variability among languages.
3 Phonology: Speech Sounds as a System No language has all the speech sounds possible in human languages; each language contains a selection of the possible.
Multiple Regression Analysis Regression analysis with two or more independent variables. Leads to an improvement.
2. Main Test Theories: The Classical Test Theory (CTT) Psychometrics. 2011/12. Group A (English)
26134 Business Statistics Week 4 Tutorial Simple Linear Regression Key concepts in this tutorial are listed below 1. Detecting.
Educational Research Inferential Statistics Chapter th Chapter 12- 8th Gay and Airasian.
LI 2013 NATHALIE F. MARTIN L ANGUAGE & G RAMMAR. Table of Content W HAT IS LANGUAGE ? W HAT IS LANGUAGE ? R EVIEW : L ANGUAGE ( ABILITY ), L ANGUAGE (
Logistic Regression: Regression with a Binary Dependent Variable.
Regression Analysis.
Regression Analysis AGEC 784.
Language: A Preview LI 2013 Nathalie F. Martin
Statistical NLP: Lecture 7
Multiple Regression Analysis: Further Issues
26134 Business Statistics Week 5 Tutorial
Chapter 11: Simple Linear Regression
The Practice of Statistics in the Life Sciences Fourth Edition
Before-After Studies Part I
CORRELATION ANALYSIS.
Língua Inglesa - Aspectos Morfossintáticos
What is Stylistics? Stylistics is the science which explores how readers interact with the language of (mainly literary) texts in order to explain how.
Examining Relationships
Presentation transcript:

The English comparative: Phonology and Usage Martin Hilpert, ICSI Berkeley / Rice University, prouder and more proud Many English adjectives form the comparative in two ways. Some alternating adjectives have a clear preference (?more easy), while others alternate quite freely: easy99.2% morphological cheesy69.5% morphological queasy4.9% morphological selected references Kytö, Merja and Suzanne Romaine Competing forms of adjective comparison in Modern English: what could be more quicker and easier and more effective? In T. Nevalainen and L. Kahlas-Tarkka (eds), To explain the present — Studies in the changing English language in honour of Matti Rissanen. Helsinki: Memoires de la Societe Neophilologique de Helsinki, Leech, Geoffrey N. and Jonathan Culpeper The comparison of Adjectives in Recent British English. In T. Nevalainen and L. Kahlas-Tarkka (eds), Lindquist, Hans Livelier or more lively? Syntactic and contextual factors influencing the comparison of disyllabic adjectives. In J. M. Kirk (ed.), Corpora galore. Amsterdam: Rodopi, 125–32. Mondorf, Britta Support for more-support. In G. Rohdenburg and B. Mondorf (eds), Determinants of grammatical variation in English. Berlin: Mouton de Gruyter, Quirk, Randolph, Greenbaum, Sidney, Leech, Geoffrey and Jan Svartvik A comprehensive grammar of the English language. New York: Longman. factors on the word-level length, characteristics of the final segment VARIABLESOURCETENDENCY # of syllablesQuirk et al. (1985)periphrastic # of morphemesMondorf (2003)periphrastic final /i/Kytö and Romaine (1997)morphological final /li/Lindquist (1998)periphrastic final /r/Mondorf (2003)periphrastic final /l/Kytö and Romaine (1997)morphological final C-clusterMondorf (2003)periphrastic final stressLeech and Culpeper (1997)periphrastic a usage-based approach It is assumed that usage (quantitative patterns in large amounts of naturally produced language) reflects grammar and vice versa. A corpus analysis can establish the morphological/periphrastic-ratio of alternating adjectives and determine which of the above factors best predict this ratio. what’s been said Previous analyses (e.g. Leech and Culpeper 1997, Mondorf 2003) hold that factors of phonology, morphology, syntax, and semantics govern the comparative alternation. However, an integrated account is missing; the relative importance of these factors has not been determined. Also, the role of frequency has not been sufficiently explored. When and why do speakers choose one variant over the other? factors beyond the word level VARIABLESOURCETENDENCY to-inf complementMondorf (2003) periphrastic attributive useLeech and Culpeper (1997)morphological predicative useLeech and Culpeper (1997)periphrastic premodificationLindquist (2000)periphrastic weak gradabilityMondorf (2003)periphrastic positive frequencyBraun (1982)morphological How can we determine the relative strength of each factor? analysis Using the word-level characteristics, the ratio of comparatives and positives, and the frequency of the positive form as variables, the analysis yields an adjusted R 2 of.341: INCLUDED VARIABLESEXCLUDED VARIABLES BetatSigBetatSig # syl # mor final /i/ final /r/ CP-ratio final /l/ final /li/ fin stress fin clust posfr a first pass: using the n-gram corpus All bigrams of the form ‘-er than’ are retrieved. The corresponding uninflected adjectives followed by than are also retrieved, yielding 730 types. The LOG of the observed morphological/periphrastic-ratio serves as the dependent variable for a multiple linear regression. ADJMORPH PERIPHRRATIOLOG (10) able1,19927, bright273,6987, correct5428, great10,100,44310, But what about those syntactic factors? results Word length measured in syllables, but not morphemes, strongly affects the alternation. The measured effects of final /i/and /li/, final stress, and final clusters corroborate earlier work. Final /r/, /l/, and sibilants have no significant effect. Factors of usage, such as the ratio of positives and comparative and the frequency of the positive form, affect the alternation. second try: using the BNC All comparative adjective forms are retrieved, yielding 272 types. The four syntactic variables are encoded as subcategorization probabilities for each adjective: ADJECTIVEATTRPREDTOPREMOD ready0,150,010, spicy0,780,110, untidy0,000,250, analysis Again, the LOG of the observed morphological/periphrastic- ratio serves as the dependent variable. Using all previously used variables and the subcategorization probabilities, the analysis yields an adjusted R 2 of.509: INCLUDED VARIABLESEXCLUDED VARIABLES BetatSigBetatSig # syl fin /i/ CP-ratio premod fin stress pred to-inf attr fin clust # mor final /l/ fin /li/ fin /r/ results As in the first analysis, length in syllables, comparative-positive ratio, final stress and consonant cluster influence the alternation. Final /l/ is found to be significant. Of the syntactic variables, only to-infinitive complements show a significant effect. Final /i/and /li/do not show an independent effect in this analysis; neither does the frequency of the positive form. conclusion Both structural phonological factors and factors of language use govern the alternation – but much variance still needs to be explained.