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Chinese word segmentation in MSR-NLP [PDF]

open access: yesProceedings of the second SIGHAN workshop on Chinese language processing -, 2003
Word segmentation in MSR-NLP is an integral part of a sentence analyzer which includes basic segmentation, derivational morphology, named entity recognition, new word identification, word lattice pruning and parsing. The final segmentation is produced from the leaves of parse trees.
Andi Wu
openaire   +3 more sources

Stress placement and word segmentation by Spanish speakers [PDF]

open access: yes, 2013
Several studies have shown that the stress pattern of one's native language is applied to new linguistic stimuli. Regarding the segmentation of artificial synthesized speech, this idea has been supported by experiments with languages where the stress ...
Rodríguez Fornells, Antoni   +2 more
core   +6 more sources

Orthographic input and phonological representations in learners of Chinese as a foreign language. [PDF]

open access: yes, 2006
This paper provides evidence that the second language orthographic input affects the mental representations of L2 phonology in instructed beginner L2 learners. Previous research has shown that orthographic representations affect monolinguals' performance
Bassetti, Benedetta
core   +6 more sources

Short Text Matching Model Combined with Multi-Granularity Information and External Knowledge [PDF]

open access: yesJisuanji gongcheng, 2022
Chinese short text semantic matching generally uses word sequences, rather than character sequences, to achieve higher semantic-matching performance.However, Chinese word segmentation may be inaccurate or ambiguous, and word segmentation errors can ...
LIANG Dengyu, LIU Daming
doaj   +1 more source

Systran's Chinese word segmentation [PDF]

open access: yesProceedings of the second SIGHAN workshop on Chinese language processing -, 2003
SYSTRAN's Chinese word segmentation is one important component of its Chinese-English machine translation system. The Chinese word segmentation module uses a rule-based approach, based on a large dictionary and fine-grained linguistic rules. It works on general-purpose texts from different Chinese-speaking regions, with comparable performance.
Jin Yang, Jean Senellart, Rémi Zajac
openaire   +2 more sources

Bilingually motivated domain-adapted word segmentation for statistical machine translation [PDF]

open access: yes, 2009
We introduce a word segmentation approach to languages where word boundaries are not orthographically marked, with application to Phrase-Based Statistical Machine Translation (PB-SMT).
Way, Andy, Ma, Yanjun
core   +4 more sources

Segmenting Chinese Texts into Words for Semantic Network Analysis [PDF]

open access: yesJournal of Contemporary Eastern Asia, 2017
Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted.
James A. Danowski
doaj   +1 more source

An Algorithm Rapidly Segmenting Chinese Sentences into Individual Words [PDF]

open access: yesMATEC Web of Conferences, 2019
This paper proposes an improved Trie tree structure. The tree node records the position information of the characters participating in the word formation, and the child node uses the hash search mechanism.
Xiong Zhibin
doaj   +1 more source

Combining segmenter and chunker for Chinese word segmentation [PDF]

open access: yesProceedings of the second SIGHAN workshop on Chinese language processing -, 2003
Our proposed method is to use a Hidden Markov Model-based word segmenter and a Support Vector Machine-based chunker for Chinese word segmentation. Firstly, input sentences are analyzed by the Hidden Markov Model-based word segmenter. The word segmenter produces n-best word candidates together with some class information and confidence measures ...
Masayuki Asahara   +3 more
openaire   +1 more source

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

open access: yesTransactions of the Association for Computational Linguistics, 2020
Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined at the word-level.
Yan, Hang, Qiu, Xipeng, Huang, Xuanjing
doaj   +1 more source

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