Results 171 to 180 of about 1,412 (204)
Some of the next articles are maybe not open access.

A morpheme-based lexical chunking system for Chinese

2008 International Conference on Machine Learning and Cybernetics, 2008
Chinese lexical analysis consists of word segmentation and part-of-speech tagging. Most previous studies consider them as two separate tasks. In this paper we formalize the two processes as a unique chunking task on a sequence of morphemes and present an integrated lexical analysis system for Chinese based on lexicalized hidden Markov models.
null Guo-Hong Fu   +2 more
openaire   +1 more source

Integrate statistical model and lexical knowledge for Chinese multiword chunking

2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008
Multiword chunking is designed as a shallow parsing technique to recognize external constituent and internal relation tags of a chunk in sentence. In this paper, we propose a new solution to deal with this problem. We design a new relation tagging scheme to represent different intra-chunk relations and make several experiments of feature engineering to
Qiang Zhou, Hang Yu
openaire   +1 more source

Phonemic repetition and the learning of lexical chunks: The power of assonance

System, 2008
Abstract Knowledge of lexical chunks correlates positively with L2 proficiency. However, high estimates of the number of chunks in natural language have led to scepticism about the feasibility of large-scale chunk-learning on non-intensive, classroom-based courses.
Lindstromberg, Seth, Boers, Frank
openaire   +2 more sources

Chinese text chunking using lexicalized HMMS

2009
This paper presents a lexicalized HMM-based approach to Chinese text chunking. To tackle the problem of unknown words, we formalize Chinese text chunking as a tagging task on a sequence of known words. To do this, we employ the uniformly lexicalized HMMs and develop a lattice-based tagger to assign each known word a proper hybrid tag, which involves ...
Luke, KK, Lu, Q, Fu, GH, Xu, RF
openaire   +1 more source

An exploration of the phonology of lexical chunks in L2 speech

Innovation in Language Learning and Teaching, 2015
It is widely accepted that pauses and correspondence with intonation units are among the phonological cues that identify lexical chunks (conventionalised multiword sequences) in spoken first and second language, although conclusive empirical evidence is scant.
Lluïsa Astruc, Lina Adinolfi
openaire   +1 more source

Key Lexical Chunks in Applied Linguistics Article Abstracts

2014
In any discourse domain, certain chunks are particularly frequent and deserve attention by the novice to be initiated and by the expert to maintain a sense of community. To make a relevant contribution to the awareness about applied linguistics texts and discourse, this study attempted to develop lists of lexical chunks frequently used in the abstracts
openaire   +1 more source

A Review of Research on Chinese English Lexical Chunk Teaching

Educational Science Literature
This paper analyzes the current state of lexical chunk teaching research in China based on over 600 papers collected from the China National Knowledge Infrastructure (CNKI) database from 2004 to 2024. The analysis covers four aspects: definitions of lexical chunks under different considerations, annual publication volume, different educational stages ...
Fukang Pei, Zhouyang Yan
openaire   +1 more source

THE IMPACT OF LEXICAL CHUNKING ON ASSESSING LEXICAL COMPETENCE IN MIDDLE SCHOOL LEARNERS

 Lexical competence is a cornerstone of language acquisition, especially for middle school learners transitioning from basic to complex vocabulary usage. This study investigates the role of lexical chunking—grouping words into meaningful units—in assessing lexical competence.
openaire   +1 more source

THE IMPACT OF LEXICAL CHUNKS ON EVALUATING LEXICAL COMPETENCE IN PRIMARY SCHOOL LEARNERS

For primary school students in particular, lexical competence is essential to language learning. This study looks at how lexical chunks—predefined word groups that are frequently used together—help young learners improve and evaluate their lexical competency.
openaire   +1 more source

Home - About - Disclaimer - Privacy