What was this course about?
Your Phonological Future
The Phonological Future
The study of how sounds pattern in Language and languages
What sounds differentiate words? (Phonemic Analysis)
How do speakers tend to group sounds together? (Natural Classes)
How do sounds change when combined together? (Phonological Alternations)
What combinations are “legal” in the language? (Phonotactics)
How are syllables formed and what kinds of syllables does the language prefer? (Syllable Structure)
You see how sounds can carry contrast, or just vary contextually
You now understand that classes and features can often be more valuable than segments
You know some of the rules (like sonority and syllable structures) that make sounds more or less ‘legal’
… and you can cope with the weirdest of syllable problems
What patterns of sound patterns are more and less common around the world?
How should we model the sound patterns we see in language?
Are we using rules that transform ‘underlying’ sounds into one another?
Are we choosing a form among many which does the fewest things we don’t like?
How do these various approaches handle real data from real languages?
Do they predict all the things that really happen?
Do they predict crazy things that never happen?
How do they account for exceptions and other weird data?
You know what kinds of rules are common, and which ones seem more weird
You know the advantages of rule-based approaches
You’ve felt the pain of rules that don’t predict everything
… and of rules that do predict everything
… and you’ve seen your perfect analysis shatter in light of a handful of exceptions
We’ve seen data that nobody’s really happy about
We’ve seen some alternative approaches to handling these data
We’ve seen that all the regularity in the world shatters when you’re in the field
In reality, you’ll have more moving parts
More rules, more interactions
We’re giving you data in digestible chunks
In reality, you’ll have all of the data
Step 1 is to identify the forms which explain the rules
“Hmm, that epenthesis isn’t understandable in this subset of data”
“These four forms turn this from one rule to six. Let’s leave those out”
“… Yeah, let’s pretend that’s not a long vowel”
You’re told what sounds actually are on the surface (Phonetics)
You’re told what the words mean (Semantics)
You know the morphemes involved, and that they’re not secretly different forms (Morphology)
Languages have no such mercy
Any given language has the potential to force advances in theoretical phonology
Prominent
Stressful
Completely missing from LIGN 111
Absolutely, 100% a thing
A major component of signed language study
Completely absent here
We’ve touched on harmony issues, but it gets much more complex
Blocking, Domains, directionality
Nope. Not in 111.
“How do sounds change as languages change?”
“How do contrasts develop and disappear over time?”
“Wait, how the f*** did Afrikaans get tone?”
(and much, much more!)
We’re teaching you the best one to teach undergrads
… but there are many people working on approaches they each feel are ‘best’
There’s a UR which contains the unpredictable stuff
Rules derive the surface form from it using predictable processes
Complexity comes from multiple interacting rules, or from abstract URs
There’s a UR which contains the unpredictable stuff
We know what this language doesn’t like, and how bad it is to do each of those things
Let’s pick the least-worst form!
Complexity comes from constraint choice and ordering, as well as GEN
… but there are other ways!
“Well, we’re pretty good at syntax. Why not do phonology like we do Syntax?”
“Screw features, let’s just derive everything from six primitives”
“There’s still some variation in the data. How can we model that with constraints?”
Let’s compute the ‘best’ solution using actual language data
Plug a large corpus of data in with some constraints to a statistical model (like Maximum Entropy)
You’ll get rankings of the constraints, and probabilities of each form
All we have is the surface forms
We store every word we’ve ever heard, as whole words
The frequency of hearing a given form determines the correct answer
Wugs are handled by analogy
Goodbye URs and Abstractions!
Memories, Mammaries, and Artillery
Complexity comes from analogy
“I wonder if these phonological questions can be addressed by experimental phonetic study?”
“Are my nasal vowels actually nasal?”
“Is this a devoiced /d/, or just a /t/?”
“Do we see evidence of constraints vs. rules in this experimental paradigm?”
Or whether it’s just a trojan horse from Phonetics
… but it is absolutely a thing, and now more than ever, phonetics and phonology are tight
… and LabPhon is changing the nature of the field
Some people want phonology to stay what it has historically been
Some people want phonology to become an experimental discipline
Some people want phonology to become a mathematical discipline
Some people just need to work with languages
The people who revolutionized the field were sitting in a classroom like this 60 years ago!
… and many argue the field is ripe for a new revolution
You will help the field to advance
You will help new tools, theories, and technologies to be developed
You will help guide the field into the future
You will work with phonology for the rest of your career!
Phonology is hard.
Many argue it’s the hardest undergrad linguistics class
Some argue it’s the hardest linguistic subfield
It’s also often super abstract
The problems you want to solve might not be phonological…
You too will work with phonology for the rest of your career!
… as a matter of fact …
There is no place to run
There is no place to hide
Phonology will find you.
LIGN 120: Phonology Strikes Back!
… because …
(So, you best be able to deal with it!)
Know that it’s a phonological problem
Understand how to start looking at and characterizing it
Use tools from this class to break it down
Describe the pattern, and form a coherent analysis
Describe the pattern, and form an elegant analysis
Singular | Gloss | Plural | Gloss |
---|---|---|---|
[fat] | ‘glass’ | [avat] | ‘glasses’ |
[tas] | ‘cat’ | [adas] | ‘cats’ |
[sap] | ‘card’ | [azap] | ‘cards’ |
[pu] | ‘trashcan’ | [abu] | ‘trashcans’ |
[kop] | ‘phone’ | [agop] | ‘phones’ |