Publications

Journal Papers

Shao-Jie Jin, Sheng-Fu Wang and Yu-An Lu. (2023). Identifying generalizable knowledge from the distribution of tonotactic accidental gaps in Mandarin Laboratory Phonology, 14(1).
[bibtex] [url]

@article{jin2023identifying,
  title={Identifying generalizable knowledge from the distribution of tonotactic accidental gaps in Mandarin},
  author={Jin, Shao-Jie and Wang, Sheng-Fu and Lu, Yu-An},
  journal={Laboratory Phonology},
  volume={14},
  number={1},
  year={2023},
  publisher={Open Library of Humanities}
}

Sheng-Fu Wang. (2022). The interaction between predictability and pre-boundary lengthening on syllable duration in Taiwan Southern Min. Phonetica, 79(4), 315-352.
[bibtex] [url]

@article{wang2022interaction,
url = {https://doi.org/10.1515/phon-2022-0009},
title = {The interaction between predictability and pre-boundary lengthening on syllable duration in Taiwan Southern Min},
title = {},
author = {Sheng-Fu Wang},
pages = {315--352},
volume = {79},
number = {4},
journal = {Phonetica},
doi = {doi:10.1515/phon-2022-0009},
year = {2022},
}

Sheng-Fu Wang. (2022). Markedness and voicing gaps in stop and fricative inventories. Studies in Language.
[bibtex] [url]

@article{wang2022markedness,
  title={Markedness and voicing gaps in stop and fricative inventories},
  author={Wang, Sheng-Fu},
  journal={Studies in Language},
  year={2022},
  publisher={John Benjamins Publishing Company Amsterdam/Philadelphia},
  doi = {doi:10.1075/sl.21017.wan},
}

Lisa Davidson, Shmico Orosco and Sheng-Fu Wang. (2021). The link between syllabic nasals and glottal stops in American English. Laboratory Phonology: Journal of the Association for Laboratory Phonology. vol. 12, no. 1.
[bibtex] [url]

@article{davidson2021link,
  title={The link between syllabic nasals and glottal stops in American English},
  author={Davidson, Lisa and Orosco, Shmico and Wang, Sheng-Fu},
  journal={Laboratory Phonology: Journal of the Association for Laboratory Phonology},
  volume={12},
  number={1},
  year={2021},
  publisher={Ubiquity Press}
}

Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang and Samuel R. Bowman. (2020). BLiMP: The benchmark of linguistic minimal pairs for English. Transactions of the Association for Computational Linguistics. vol. 8, pp. 377-392.
[bibtex] [url]

@article{warstadt2020blimp,
  author = {Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei and Wang, Sheng-Fu and Bowman, Samuel R},
  title = {BLiMP: The benchmark of linguistic minimal pairs for English},
  journal = {Transactions of the Association for Computational Linguistics},
  publisher = {MIT Press},
  year = {2020},
  volume = {8},
  pages = {377--392},
  url = {https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00321}
}

Sheng-Fu Wang, Jing-Chen Yang, Yu-Yun Chang, Yu-Wen Liu and Shu-Kai Hsieh. (2012). Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in Two Conversational Corpora. International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 2, June 2012-Special Issue on Selected Papers from ROCLING XXIII.
[bibtex] [url]

@article{wang2012frequency,
  author = {Wang, Sheng-Fu and Yang, Jing-Chen and Chang, Yu-Yun and Liu, Yu-Wen and Hsieh, Shu-Kai},
  title = {Frequency, Collocation, and Statistical Modeling of Lexical Items: A Case Study of Temporal Expressions in Two Conversational Corpora},
  journal = {International Journal of Computational Linguistics & Chinese Language Processing, Volume 17, Number 2, June 2012-Special Issue on Selected Papers from ROCLING XXIII},
  year = {2012},
  url = {https://www.aclweb.org/anthology/O12-3003}
}

Conference Papers

Sheng-Fu Wang, Ri-Sheng Huang, Shu-Kai Hsieh, Laurent Prévot. (2025). Zero-Shot Evaluation of Conversational Language Competence in Data-Efficient LLMs Across English, Mandarin, and French. In Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 32-47. Avignon, France.
[bibtex] [url]

@inproceedings{wang-etal-2025-zero,
    title = "Zero-Shot Evaluation of Conversational Language Competence in Data-Efficient {LLM}s Across {E}nglish, {M}andarin, and {F}rench",
    author = "Wang, Sheng-Fu  and
      Huang, Ri-Sheng  and
      Hsieh, Shu-Kai  and
      Pr{\'e}vot, Laurent",
    editor = "B{\'e}chet, Fr{\'e}d{\'e}ric  and
      Lef{\`e}vre, Fabrice  and
      Asher, Nicholas  and
      Kim, Seokhwan  and
      Merlin, Teva",
    booktitle = "Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue",
    month = aug,
    year = "2025",
    address = "Avignon, France",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.sigdial-1.3/",
    pages = "32--47",
    abstract = "Large Language Models (LLMs) have achieved oustanding performance across various natural language processing tasks, including those from Discourse and Dialogue traditions. However, these achievements are typically obtained thanks to pretraining on huge datasets. In contrast, humans learn to speak and communicate through dialogue and spontaneous speech with only a fraction of the language exposure. This disparity has spurred interest in evaluating whether smaller, more carefully selected and curated pretraining datasets can support robust performance on specific tasks. Drawing inspiration from the BabyLM initiative, we construct small (10M-token) pretraining datasets from different sources, including conversational transcripts and Wikipedia-style text. To assess the impact of these datasets, we develop evaluation benchmarks focusing on discourse and interactional markers, extracted from high-quality spoken corpora in English, French, and Mandarin. Employing a zero-shot classification framework inspired by the BLiMP benchmark, we design tasks wherein the model must determine, between a genuine utterance extracted from a corpus and its minimally altered counterpart, which one is the authentic instance. Our findings reveal that the nature of pretraining data significantly influences model performance on discourse-related tasks. Models pretrained on conversational data exhibit a clear advantage in handling discourse and interactional markers compared to those trained on written or encyclopedic text. Furthermore, the models, trained on small amount spontaneous speech transcripts, perform comparably to standard LLMs."
}

Sheng-Fu Wang and Laurent Prévot. (2025). Evaluating Data-Efficient LLMs on a Benchmark of Disfluency Minimal Pairs. In Proceedings of the 12th edition of the Disfluency in Spontaneous Speech Workshop. Lisbon, Portugal.
[bibtex] [url]

@inproceedings{wang2025evaluating,
  title={Evaluating Data-Efficient LLMs on a Benchmark of Disfluency Minimal Pairs},
  author={Wang, Sheng-Fu and Prevot, Laurent},
  booktitle={12th edition of the Disfluency in Spontaneous Speech Workshop},
  year={2025}
}

Yu-Ying Chuang and Sheng-Fu Wang. (2025). Tonal Variation and Word Meaning in Taiwanese. In Proceedings of Interspeech 2025. 4183-4187. Rotterdam, The Netherlands.
[bibtex] [url]

@inproceedings{chuang2025tonal,
  title={Tonal Variation and Word Meaning in Taiwanese},
  author={Chuang, Yu-Ying and Wang, Sheng-Fu},
  booktitle={Proc. Interspeech 2025},
  pages={4183--4187},
  year={2025}
}

Laurent Prévot, Sheng-Fu Wang, Jou-An Chi, Shu-Kai Hsieh. (2024). Extending the BabyLM initiative: Promoting diversity in datasets and metrics through high-quality linguistic corpora. In The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning. 147-158. Miami, USA.
[bibtex] [url]

@inproceedings{prevot-etal-2024-extending,
    title = "Extending the {B}aby{LM} Initiative : Promoting Diversity in Datasets and Metrics through High-Quality Linguistic Corpora",
    author = "Pr{\'e}vot, Laurent  and
      Wang, Sheng-Fu  and
      Chi, Jou-An  and
      Hsieh, Shu-Kai",
    editor = "Hu, Michael Y.  and
      Mueller, Aaron  and
      Ross, Candace  and
      Williams, Adina  and
      Linzen, Tal  and
      Zhuang, Chengxu  and
      Choshen, Leshem  and
      Cotterell, Ryan  and
      Warstadt, Alex  and
      Wilcox, Ethan Gotlieb",
    booktitle = "The 2nd BabyLM Challenge at the 28th Conference on Computational Natural Language Learning",
    month = nov,
    year = "2024",
    address = "Miami, FL, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.conll-babylm.12/",
    pages = "147--158",
    abstract = "BabyLM paves the way for a range of experiments aimed at better understanding language models (LMs) and the differences and similarities between human and artificial language learning. However, the current framework is limited to the English language and a narrow but significant range of evaluation metrics, primarily focused on syntax, semantics, and pragmatics. In this paper, we propose some steps towards extending the framework to other languages, specifically Mandarin Chinese and French, leveraging existing linguistic resources for these languages. Additionally, we advocate for greater exploration of genre variations within subcorpora for training LMs, as well as for the adoption of additional evaluation metrics with different underlying principles. Our proposal consists of using high-quality spontaneous speech corpora as a source for extracting production-related variables, which the models are then fine-tuned to predict. We hypothesize that these production-related features offer insights into the language processing mechanisms underlying the data and that cognitively sensitive models should outperform others in predicting these features. Specifically, we propose focusing on the prediction of phenomena such as speech reductions, prosodic prominences, sequences co-occurring with listeners' backchannels, and disfluencies. To illustrate our approach, we present an example involving the prediction of speech reductions in spontaneous speech in two different languages (French and English), using models trained on 10 million tokens from different data source mixtures. Although the results are preliminary, they suggest that this task can characterize models for predicting human language processing."
}

Sheng-Fu Wang. (2024). Contrast and predictability in the variability of tonal realizations in Taiwan Southern Min. In Proceedings of the 12th International Conference on Speech Prosody. 542-546. Leiden, The Netherlands.
[bibtex] [url]
```
@inproceedings{wang24e_speechprosody,
  author={Sheng-Fu Wang},
  title=,
  year=2024,
  booktitle={Proc. Speech Prosody 2024},
  pages={542--546},
  doi={10.21437/SpeechProsody.2024-110}
}
```
Yu-Ying Chuang and Sheng-Fu Wang (2024). Incomplete neutralization in tone sandhi in Taiwan Southern Min spontaneous speech. In Proceedings of the 12th International Conference on Speech Prosody. 537-541. Leiden, The Netherlands.
[bibtex] [url]
```
@inproceedings{chuang24_speechprosody,
  author={Yu-Ying Chuang and Sheng-Fu Wang},
  title=,
  year=2024,
  booktitle={Proc. Speech Prosody 2024},
  pages={537--541},
  doi={10.21437/SpeechProsody.2024-109}
}
```

Laurent Prévot and Sheng-Fu Wang. (2024). Experimenting with Discourse Segmentation of Taiwan Southern Min Spontaneous Speech. In Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024). 50-63. St. Julians, Malta.
[bibtex] [url]

@inproceedings{prevot2024_experimenting,
    title = "Experimenting with Discourse Segmentation of {T}aiwan {S}outhern {M}in Spontaneous Speech",
    author = "Pr{\'e}vot, Laurent  and
      Wang, Sheng-Fu",
    editor = "Strube, Michael  and
      Braud, Chloe  and
      Hardmeier, Christian  and
      Li, Junyi Jessy  and
      Loaiciga, Sharid  and
      Zeldes, Amir  and
      Li, Chuyuan",
    booktitle = "Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.codi-1.5",
    pages = "50--63",
    abstract = "Discourse segmentation received increased attention in the past years, however the majority of studies have focused on written genres and with high-resource languages. This paper investigates discourse segmentation of a Taiwan Southern Min spontaneous speech corpus. We compare the fine-tuning a Language Model (LLM using two approaches: supervised, thanks to a high-quality annotated dataset, and weakly-supervised, requiring only a small amount of manual labeling. The corpus used here is transcribed with both Chinese characters and romanized transcription. This allows us to compare the impact of the written form on the discourse segmentation task. Additionally, the dataset includes manual prosodic breaks labeling, allowing an exploration of the role prosody can play in contemporary discourse segmentation systems grounded in LLMs. In our study, the supervised approach outperforms weak-supervision ; character-based version demonstrated better scores compared to the romanized version; and prosodic information proved to be an interesting source to increase discourse segmentation performance.",
}

Kuo-Chiao Lin and Sheng-Fu Wang. (2024). Serial directional evaluation of rhythmic reversal in Axininca. In Proceedings of the Linguistic Society of America 9, no. 1. 5674-5674. New York, USA.
[bibtex] [url]

@inproceedings{lin2024serial,
  title={Serial directional evaluation of rhythmic reversal in Axininca},
  author={Lin, Kuo-Chiao and Wang, Sheng-Fu},
  booktitle={Proceedings of the Linguistic Society of America},
  volume={9},
  number={1},
  pages={5674--5674},
  year={2024}
}

Sheng-Fu Wang. (2023). Boundary Strength and Predictability Effects on Durational Cues at Tone Sandhi Group Boundaries in Taiwan Southern Min. In Proceedings of the 20th International Congress of the Phonetic Sciences. 1350-1354. Prague, Czech Republic.
[bibtex] [url]

@inproceedings{wang2023_lengthening,
  author={Sheng-Fu Wang},
  title={Boundary Strength and Predictability Effects on Durational Cues at Tone Sandhi Group Boundaries in Taiwan Southern Min},
  year={2023},
  booktitle={Proceedings of the 20th International Congress of the Phonetic Sciences},
  pages={1350--1354}
}

Sheng-Fu Wang and Shu-Chuan Tseng. (2023). Word-level and syllable-level predictability effects on syllable duration in Taiwan Mandarin. In Proceedings of the 20th International Congress of the Phonetic Sciences. 1400-1404. Prague, Czech Republic.
[bibtex] [url]

@inproceedings{wang2023_wordlevel,
  author={Sheng-Fu Wang, Shu-Chuan Tseng},
  title={Word-level and syllable-level predictability effects on syllable duration in Taiwan Mandarin},
  year={2023},
  booktitle={Proceedings of the 20th International Congress of the Phonetic Sciences},
  pages={1400--1404}
}

Sheng-Fu Wang. (2022). Pre-boundary lengthening modulates predictability effects on durational variability in Taiwan Southern Min. In Proceedings of the 11th International Conference on Speech Prosody. 465-469. Lisbon, Portugal.
[bibtex] [url]

@inproceedings{wang22c_speechprosody,
  author={Sheng-Fu Wang},
  title={Pre-boundary lengthening modulates predictability effects on durational variability in Taiwan Southern Min},
  year={2022},
  booktitle={Proc. Speech Prosody 2022},
  pages={465--469},
  doi={10.21437/SpeechProsody.2022-95}
}

Sheng-Fu Wang. (2019). Velar syllabic nasal and its phonological interpretation in Taiwan Southern Min. In Proceedings of the 19th International Congress of Phonetic Sciences. Melbourne, Australia.
[bibtex] [url]

@inproceedings{wang2019velar,
  author = {Wang, Sheng-Fu},
  title = {Velar syllabic nasal and its phonological interpretation in Taiwan Southern Min},
  booktitle = {Proceedings of the 19th International Congress of Phonetic Sciences},
  address = {Melbourne, Australia},
  year = {2019},
  url = {https://assta.org/proceedings/ICPhS2019/papers/ICPhS_2095.pdf}
}

Sheng-Fu Wang. (2019). The organization of sound inventories: A study on obstruent gaps. In Proceedings of the Society for Computation in Linguistics (SCiL) 2019. pp. 195-204, New York, USA.
[bibtex] [url]

@inproceedings{wang2019organization,
  author = {Wang, Sheng-Fu},
  title = {The organization of sound inventories: A study on obstruent gaps},
  booktitle = {Proceedings of the Society for Computation in Linguistics (SCiL) 2019},
  address = {New York, USA},
  year = {2019},
  pages = {195--204},
  url = {https://www.aclweb.org/anthology/W19-0120/},
  doi = {https://doi.org/10.7275/pbe8-zf60}
}

Alex Warstadt, Yu Cao, Ioana Grosu, Wei Peng, Hagen Blix, Yining Nie, Anna Alsop, Shikha Bordia, Haokun Liu, Alicia Parrish, Sheng-Fu Wang, Jason Phang, Anhad Mohananey, Phu Mon Htut, Paloma Jeretic and Samuel R. Bowman. (2019). Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 2877-2887, Hong Kong, China.
[bibtex] [url]

@inproceedings{warstadt2019investigating,
  author = {Warstadt, Alex and Cao, Yu and Grosu, Ioana and Peng, Wei and Blix, Hagen and Nie, Yining and Alsop, Anna and Bordia, Shikha and Liu, Haokun and Parrish, Alicia and Wang, Sheng-Fu and Phang, Jason and Mohananey, Anhad and Htut, Phu Mon and Jeretic, Paloma and Bowman, Samuel R.},
  title = {Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  publisher = {Association for Computational Linguistics},
  address = {Hong Kong, China},
  year = {2019},
  pages = {2877--2887},
  url = {https://www.aclweb.org/anthology/D19-1286},
  doi = {https://doi.org/10.18653/v1/D19-1286}
}

WooJin Chung, Sheng-Fu Wang and Samuel Bowman. (2018). The Lifted Matrix-Space Model for Semantic Composition. In Proceedings of the 22nd Conference on Computational Natural Language Learning. pp. 508-518, Brussels, Belgium.
[bibtex] [url]

@inproceedings{chung2018lifted,
  author = {Chung, WooJin and Wang, Sheng-Fu and Bowman, Samuel},
  title = {The Lifted Matrix-Space Model for Semantic Composition},
  booktitle = {Proceedings of the 22nd Conference on Computational Natural Language Learning},
  address = {Brussels, Belgium},
  year = {2018},
  pages = {508--518},
  url = {https://www.aclweb.org/anthology/K18-1049}
}

Sheng-Fu Wang. (2018). Phonotactics and phonetic context in the perception of onset nasality in Taiwanese. In Proceedings of the Annual Meetings on Phonology. vol. 5, New York, USA.
[bibtex] [url]

@inproceedings{wang2018phonotactics,
  author = {Wang, Sheng-Fu},
  title = {Phonotactics and phonetic context in the perception of onset nasality in Taiwanese},
  booktitle = {Proceedings of the Annual Meetings on Phonology},
  address = {San Diego, USA},
  year = {2018},
  volume = {5},
  url = {http://journals.linguisticsociety.org/proceedings/index.php/amphonology/article/view/4231}
}

Sheng-Fu Wang. (2017). Onset Voicing and Tone Distribution in the Taiwanese Lexicon. In Proceedings of the 29th North American Conference on Chinese Linguistics (NACCL-29). vol. 1, New Brunswick, USA.
[bibtex] [url]

@inproceedings{wang2017onset,
  author = {Wang, Sheng-Fu},
  title = {Onset Voicing and Tone Distribution in the Taiwanese Lexicon},
  booktitle = {Proceedings of the 29th North American Conference on Chinese Linguistics (NACCL-29)},
  address = {New Brunswick, USA},
  year = {2017},
  volume = {1},
  url = {https://naccl.osu.edu/sites/default/files/07-WANGSheng-Fu-p153-165.pdf}
}

Sheng-Fu Wang. (2017). A Dispersion-Theoretic account of Taiwanese CV phonotactics. In Proceedings of the Annual Meetings on Phonology. vol. 4, Los Angeles, USA.
[bibtex] [url]

@inproceedings{wang2017dispersion,
  author = {Wang, Sheng-Fu},
  title = {A Dispersion-Theoretic account of Taiwanese CV phonotactics},
  booktitle = {Proceedings of the Annual Meetings on Phonology},
  address = {Los Angeles, USA},
  year = {2017},
  volume = {4},
  url = {http://www.journals.linguisticsociety.org/proceedings/index.php/amphonology/article/view/3982}
}

Yu-Ying Chuang, Sheng-Fu Wang and Janice Fon. (2015). Cross-linguistic interaction between two voiced fricatives in Mandarin-Min simultaneous bilinguals. In Proceedings of the 18th International Congress of Phonetic Sciences. Glasgow, UK.
[bibtex] [url]

@inproceedings{chuang2015cross,
  author = {Chuang, Yu-Ying and Wang, Sheng-Fu and Fon, Janice},
  title = {Cross-linguistic interaction between two voiced fricatives in Mandarin-Min simultaneous bilinguals},
  booktitle = {Proceedings of the 18th International Congress of Phonetic Sciences},
  address = {Glasgow, UK},
  year = {2015},
  url = {https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0311.pdf}
}

Sheng-Fu Wang and Janice Fon. (2015). Syllable duration and discourse organization at intonational phrase boundaries in Taiwan Southern Min. In Proceedings of the 18th International Congress of Phonetic Sciences. Glasgow, UK.
[bibtex] [url]

@inproceedings{wang2015syllable,
  author = {Wang, Sheng-Fu and Fon, Janice},
  title = {Syllable duration and discourse organization at intonational phrase boundaries in Taiwan Southern Min},
  booktitle = {Proceedings of the 18th International Congress of Phonetic Sciences},
  address = {Glasgow, UK},
  year = {2015},
  url = {https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2015/Papers/ICPHS0266.pdf}
}

Sheng-Fu Wang and Janice Fon. (2013). A Taiwan Southern Min spontaneous speech corpus for discourse prosody. In Proceedings of Tools and Resources for the Analysis of Speech Prosody. pp. 20-23, Aix-en-Provence, France.
[bibtex] [url]

@inproceedings{wang2013taiwan,
  author = {Wang, Sheng-Fu and Fon, Janice},
  title = {A Taiwan Southern Min spontaneous speech corpus for discourse prosody},
  journal = {The Proceedings of Tools and Resources for the Analysis of Speech Prosody, Aix-en-Provence, France},
  address = {Aix-en-Provence, France},
  year = {2013},
  pages = {20--23},
  url = {http://www.lpl-aix.fr/ trasp/Proceedings/20427-trasp2013.pdf}
}

Sheng-Fu Wang and Janice Fon. (2012). Durational cues at discourse boundaries in Taiwan Southern Min. In Proceedings of the 6th International Conference on Speech Prosody. Shanghai, China.
[bibtex] [url]

@inproceedings{wang2012durational,
  author = {Wang, Sheng-Fu and Fon, Janice},
  title = {Durational cues at discourse boundaries in Taiwan Southern Min},
  booktitle = {Proceedings of the 6th International Conference on Speech Prosody},
  address = {Shanghai, China},
  year = {2012},
  url = {https://www.isca-speech.org/archive/sp2012/sp12_599.html}
}

Sheng-Fu Wang and Janice Fon. (2011). Exploring Boundary Tones in Taiwan Southern Min. In Proceedings of the 17th International Congress of Phonetic Sciences. pp. 2094-2097, Hong Kong, China.
[bibtex] [url]

@inproceedings{wang2011exploring,
  author = {Wang, Sheng-Fu and Fon, Janice},
  title = {Exploring Boundary Tones in Taiwan Southern Min},
  booktitle = {Proceedings of the 17th International Congress of Phonetic Sciences},
  address = {Hong Kong, China},
  year = {2011},
  pages = {2094--2097},
  url = {https://www.internationalphoneticassociation.org/icphs-proceedings/ICPhS2011/OnlineProceedings/RegularSession/Wang, Sheng-Fu/Wang, Sheng-Fu.pdf}
}

Sheng-Fu Wang, Jing-Chen Yang, Yu-Yun Chang, Yu-Wen Liu and Shu-Kai Hsieh. (2011). Frequency, collocation, and statistical modeling of lexical items: a case study of temporal expressions in an elderly speaker corpus. In Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing. pp. 179-193, Taipei, Taiwan.
[bibtex] [url]

@inproceedings{wang2011frequency,
  author = {Wang, Sheng-Fu and Yang, Jing-Chen and Chang, Yu-Yun and Liu, Yu-Wen and Hsieh, Shu-Kai},
  title = {Frequency, collocation, and statistical modeling of lexical items: a case study of temporal expressions in an elderly speaker corpus},
  booktitle = {Proceedings of the 23rd Conference on Computational Linguistics and Speech Processing},
  address = {Taipei, Taiwan},
  year = {2011},
  pages = {179--193},
  url = {https://www.aclweb.org/anthology/O11-1012}
}

Others

Sheng-Fu Wang. (2020). Feature Systems, Inventory Structures, and Phonological Classes. PhD Dissertation, New York University.
[bibtex] [url]

@phdthesis{wang2020feature,
  author = {Wang, Sheng-Fu},
  title = {Feature Systems, Inventory Structures, and Phonological Classes},
  school = {New York University},
  year = {2020},
  url = {http://search.proquest.com/openview/1800c082bec94f1c43ce965b9cd57e4f/1?pq-origsite=gscholar&cbl=18750&diss=y}
}

Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik and Sheng-Fu Wang. (2018). Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?. arXiv preprint arXiv:1809.05733.
[bibtex] [url]

@unpublished{mhasawade2018neural,
  author = {Mhasawade, Vishwali and Szabó, Ildikó Emese and Tosik, Melanie and Wang, Sheng-Fu},
  title = {Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?},
  year = {2018},
  note = {arXiv preprint arXiv:1809.05733},
  url = {https://arxiv.org/abs/1809.05733}
}

Sheng-Fu Wang, (2013). Durational Cues at Discourse Boundaries in Taiwan Southern Min Spontaneous Speech. Master's thesis, National Taiwan University.
[bibtex] [url]

@mastersthesis{wang2013thesis,
  author = {Wang, Sheng-Fu},
  title = {Durational Cues at Discourse Boundaries in Taiwan Southern Min Spontaneous Speech},
  school = {National Taiwan University},
  year = {2013},
  url = {https://www.airitilibrary.com/Publication/alDetailedMesh?docid=U0001-0508201313461700}
}

Sheng-Fu Wang (王聖富)

Publications

Journal Papers

Conference Papers

Others