The Nuclear Word Family List
A List of the Most Frequent Family Members, Including Base and Affixed Words
Dados Bibliográficos
| ID | 4501949 |
|---|---|
| Autores | Tia Cobb (0000-0003-4287-8789, Université du Québec à Montréal), Tom Cobb (Université du Québec à Montréal, autor correspondente), Berthold Laufer (0000-0001-7303-7726, University of Haifa) |
| Ano | 2021 |
| Volume | 71 |
| Fascículo | 3 |
| Páginas | 834-871 |
| Data de publicação | 2021-09-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Language Learning (JOURNAL) |
| Identificadores do periódico | ISSN: 0023-8333 • E-ISSN: 1467-9922 |
| Editora | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/lang.12452 |
| OpenAlex | W3164004475 |
| Idioma | EN |
| Citações recebidas | 23 |
| Referências citadas | 19 |
This article introduces the NFL7 (Nuclear Family List 7), a list of the 2,887 most frequent "nuclear" word families, that is, families that include just the most frequent family members and exclude those that constitute less than 7% of family occurrences. The NFL7 was developed by using a dedicated computer program, the Nuclear List Builder (freely available to users). To construct the list, we used that tool to reduce the complete BNC/COCA lists of the 3,000 most frequent word families from 19,062 to 7,293 word types and from 9,132 to 5,610 lemmas. Despite this reduction, the NFL7 compares favorably with other lists in terms of text coverage, and it includes a small number of the most frequent derivational affixes. We argue that the nuclearization of the list makes it suitable for nonadvanced learners, for teaching and testing both receptive and productive knowledge, and for instruction in basic morphology
Construct (python library) · Linguistics · Natural language processing · Nuclear family · Programming language · Sociology · Word (group theory) · Word list · Artificial Intelligence · Computer Science · Natural Language Processing Techniques · Psychology · Second Language Acquisition and Learning · Text Readability and Simplification
Web‐Based Lexical Resources
Core Vocabulary Lists
Exploring the effects of teaching word families on the vocabulary learning of L1 Chinese EFL adolescents
Effects of example word presentation on L2 learners’ acquisition of morphological knowledge and awareness through intentional English prefix learning
Curriculum Accessibility through Vocabulary Readiness
Swedish word family resource
Vocabulary size estimates for Lithuanian native speakers
The effect of test format on productive recall of derivatives
How much receptive affix knowledge do L1 speakers and L2 learners have
Examining the Influential Mechanism of English as a Foreign Language (EFL) Learners’ Flow Experiences in Digital Game-Based Vocabulary Learning
Assembling a justified list of academic words in veterinary medicine
Lemmas, Flemmas, Word Families, and Common Sense
Selling the (Word) Family Silver
Word Families and Lemmas, Not a Real Dilemma
Use of word lists in a high‐stakes, low‐exposure context
Introducing MultilingProfiler
A nuclear families word list for French
Picturebooks Increase the Frequency and Diversity of Emotion Vocabulary in Children’s Language Environments
Applications of word lists in second language learning and teaching
What makes video‐based academic lectures difficult for language learners to comprehend? The role of multimodal complexity
The lexical content of high‐stakes national exams in French, German, and Spanish in England
To What Extent Do Learner‐ and Word‐Related Variables Affect Production of Derivatives
The teaching and learning of reading in an immersion setting
Making and Using Word Lists for Language Learning and Testing
The Percentage of Words Known in a Text and Reading Comprehension
How Large a Vocabulary is Needed For Reading and Listening?
A New Academic Vocabulary List
Is There a Core General Vocabulary? Introducing the New General Service List
The updated Vocabulary Levels Test
Evaluating lists of high-frequency words
Word Families
Where would general service vocabulary stop and special purposes vocabulary begin
Which words do English non-native speakers know? New supernational levels based on yes/no decision
A New Academic Word List
The Nature of Vocabulary Acquisition
Lexical Coverages, Inferencing Unknown Words and Reading Comprehension
Learning Words from Context
The Academic Spoken Word List
| Obras citantes distintas | 23 |
|---|---|
| Citações por ano | 4,6 |
| Intervalo de citações | 2021 - 2026 (6) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 23 |