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The Journal of the Acoustical Society of America, 1980
Four experiments employed a listening for mispronunciations task to determine how listeners perceive an ordered series of words from a continuous, phonetically ambiguous stimulus. In experiments 1, 2, and 3, listeners’ reaction times to detect mispronunciations were obtained in phonological sequences that could be perceived as either one or two words ...
R A, Cole, J, Jakimik, W E, Cooper
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Four experiments employed a listening for mispronunciations task to determine how listeners perceive an ordered series of words from a continuous, phonetically ambiguous stimulus. In experiments 1, 2, and 3, listeners’ reaction times to detect mispronunciations were obtained in phonological sequences that could be perceived as either one or two words ...
R A, Cole, J, Jakimik, W E, Cooper
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Identifying reduplicative words for Vietnamese word segmentation
The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2015This paper proposes a method based on linguistic word-formation rules and dictionaries for determining reduplicative words in Vietnamese. The key idea for identifying whether adjacent syllables in a text can form a reduplicative word based on its formation rules.
Tran Ngoc Anh +3 more
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A Study on In-Vocabulary Word Segmentation
International Journal of Computer Processing of Languages, 2008Since the first Chinese Word Segmentation (CWS) Bakeoff in 2003, CWS has experienced a prominent flourish because Bakeoff provides a platform for the participants, which helps them recognize the merits and drawbacks of their segmenters. However, the evaluation metric of Bakeoff is not sufficient to measure the performance thoroughly; sometimes it is ...
Zhenxing Wang +2 more
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Word Segmentation for Chinese Novels
Proceedings of the AAAI Conference on Artificial Intelligence, 2015Word segmentation is a necessary first step for automaticsyntactic analysis of Chinese text. Chinese segmentationis highly accurate on news data, but the accuraciesdrop significantly on other domains, such as science andliterature. For scientific domains, a significant portionof out-of-vocabulary words are domain-specific terms, and ...
Likun Qiu, Yue Zhang 0004
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Focused word segmentation for ASR
Interspeech 2005, 2005We propose a new set of features based on the temporal statistics of the spectral entropy of speech. We show why these features make good inputs for a speech detector. Moreover, we propose a back-end that uses the evidence from the above features in a ‘focused’ manner.
Amarnag Subramanya +2 more
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Morphological cursive word segmentation
Proceedings 13th Brazilian Symposium on Computer Graphics and Image Processing (Cat. No.PR00878), 2002The work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypotheses: 1) natural segmentation points (SPs) exist corresponding to disconnected characters; and 2) the physical SPs between connected characters are located in ligatures.
Luciana Ribeiro Veloso +2 more
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Function word facilitate word segmentation.
The Journal of the Acoustical Society of America, 2010Infants’ word segmentation is facilitated by bottom-up cues, such as prosodic cues (stress-patterns, position in a sentence, etc.). Research shows that infants also use top-down cues, i.e., known words, to segment new words [Bortfeld et al. (2005); “mommy” and the child’s name].
Yun Jung Kim, Megha Sundara
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Word Segmentation for Dialect Translation
2011This paper proposes an unsupervised word segmentation algorithm that identifies word boundaries in continuous source language text in order to improve the translation quality of statistical machine translation (SMT) approaches for the translation of local dialects by exploiting linguistic information of the standard language.
Michael Paul +2 more
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Incorporating Word Attention into Character-Based Word Segmentation
Proceedings of the 2019 Conference of the North, 2019Neural network models have been actively applied to word segmentation, especially Chinese, because of the ability to minimize the effort in feature engineering. Typical segmentation models are categorized as character-based, for conducting exact inference, or word-based, for utilizing word-level information. We propose a character-based model utilizing
Shohei Higashiyama +6 more
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Probabilistic Segmentation of Word Forms into Affixes and Word Roots
2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2020This paper introduces a method for segmenting a given word into word parts, including affixes, word stem, and word roots. In our approach, word parts including affixes and word roots in a given training dataset are counted and relevant probability values estimated.
Tsen Hsieh, Jason S. Chang
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