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7 Methods and Models of Language Processing Free Online FlashCards

Study 7 Methods and Models of Language Processing with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

How do researchers study mental representations?

Back

Mental representations are theoretical proposals inferred from patterns in behavior and brain activity; they are not observed directly.

02
Front

What makes evidence support one processing model over another?

Back

A model gains support when its specific predictions fit the evidence better than competing models, not merely when it can explain an effect afterward.

03
Front

Why carefully match conditions in an experiment?

Back

Manipulate one relevant property while controlling others, so differences are less likely to reflect confounds such as frequency, plausibility, memory load, or task demands.

04
Front

What can faster lexical decisions after related words indicate?

Back

Faster lexical decisions for “doctor” after “nurse” than after an unrelated word suggest that related concepts influence word recognition.

05
Front

What does syntactic priming suggest about sentence structures?

Back

Speakers may become more likely to use a construction they recently heard, suggesting that sentence structures are represented and reused.

06
Front

What can fixation durations and regressions reveal during reading?

Back

Fixation durations and backward eye movements, or regressions, provide a time-sensitive record of where readers encounter difficulty.

07
Front

What does the visual-world method reveal?

Back

Listeners’ eye movements toward pictured objects can show how spoken words and context guide interpretation as speech unfolds.

08
Front

What can naturally occurring speech errors reveal?

Back

Exchanging sounds or words can reveal which units and planning steps are involved in speech production.

09
Front

Why can’t natural language data alone usually establish causation?

Back

Corpora show language-use patterns in everyday settings, but co-occurring variables usually prevent them from establishing which factor caused a pattern without further analysis or experiments.

10
Front

What does EEG reveal well, and what is one limitation?

Back

EEG and ERPs record electrical activity at the scalp and track response timing, often at millisecond resolution; source localization is limited.

11
Front

What does MEG measure, and what challenge remains?

Back

MEG measures magnetic fields from neural activity, offering fine temporal resolution and often better source localization than scalp EEG; inferring neural sources remains challenging.

12
Front

What does fMRI measure, and what is a key limitation?

Back

fMRI measures BOLD signals to identify regions whose activity differs across conditions, but the signal is indirect and comparatively slow.