Context Effects on Frequency Judgments of Words and Sentences'

نویسندگان

  • LARRY L. JACOBY
  • Robert Radtke
چکیده

A series of simple sentences (containing a single adjective, a noun, and a verb) were presented on a study trial. Presentation frequency of words comprising sentences was varied by presenting either repetitions of intact sentences or by recombining words from sentences for repetition in new sentences. Thus, modifiers (adjectives and verbs) accompanying repetitions of a given noun were either identical or different for each repetition. Following repetition of intact sentences, frequency judgments were higher when the whole sentences, rather than nouns from sentences, were employed as test items. Sentence frequency judgments were influenced by presentation frequency only when intact sentences were repeated. Increased spacing of intact sentence repetitions enhanced performance, regardless of the type of test item. The effect of increased spacing on noun frequency judgments was reduced by repeating nouns with different modifiers. Implications for a theoretical account of frequency discrimination are considered.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

First Language Activation during Second Language Lexical Processing in a Sentential Context

 Lexicalization-patterns, the way words are mapped onto concepts, differ from one language      to another. This study investigated the influence of first language (L1) lexicalization patterns on the processing of second language (L2) words in sentential contexts by both less proficient and more proficient Persian learners of English. The focus was on cases where two different senses of a polys...

متن کامل

Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model

We investigated the notion of “popularity” for machine-generated sentences. We defined a popular sentence as one that contains words that are frequently used, appear in many documents, and contain frequent dependencies. We measured the popularity of sentences based on three components: content morpheme count, document frequency, and dependency relationships. To consider the characteristics of a...

متن کامل

Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches

Sentence compression is a task of creating a short grammatical sentence by removing extraneous words or phrases from an original sentence while preserving its meaning. Existing methods learn statistics on trimming context-free grammar (CFG) rules. However, these methods sometimes eliminate the original meaning by incorrectly removing important parts of sentences, because trimming probabilities ...

متن کامل

Frequency Effects of Regular Past Tense Forms in English on Native Speakers’ and Second Language Learners’ Accuracy Rate and Reaction Time

There is substantial debate over the mental representation of regular past tense forms in both first language (L1) and second language (L2) processing. Specifically, the controversy revolves around the nature of morphologically complex forms such as the past tense –ed in English and how morphological structures of such forms are represented in the mental lexicon. This study focuses on the resul...

متن کامل

Studying impressive parameters on the performance of Persian probabilistic context free grammar parser

In linguistics, a tree bank is a parsed text corpus that annotates syntactic or semantic sentence structure. The exploitation of tree bank data has been important ever since the first large-scale tree bank, The Penn Treebank, was published. However, although originating in computational linguistics, the value of tree bank is becoming more widely appreciated in linguistics research as a whole. F...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005