{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:53:08Z","timestamp":1763196788978,"version":"3.45.0"},"publisher-location":"Singapore","reference-count":42,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819533480","type":"print"},{"value":"9789819533497","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,16]],"date-time":"2025-11-16T00:00:00Z","timestamp":1763251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-3349-7_23","type":"book-chapter","created":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:49:57Z","timestamp":1763196597000},"page":"294-306","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["PGATA: Phonology-and-Glyph-Aware Token Alignment for\u00a0Transfer Learning in\u00a0Cantonese Sarcasm Detection"],"prefix":"10.1007","author":[{"given":"Hongru","family":"Ma","sequence":"first","affiliation":[]},{"given":"Sihang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yanjie","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Dairui","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,16]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Arviv, O., Nikolaev, D., Karidi, T., Abend, O.: Improving cross-lingual transfer through subtree-aware word reordering. In: Findings of EMNLP, pp. 718\u2013736 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.52"},{"key":"23_CR2","unstructured":"Banerjee, S., Sarkar, M., Saha, P., Mathew, B., Mukherjee, A.: InfFeed: Influence functions as a feedback to improve the performance of subjective tasks. In: Proceedings of the LREC-COLING (2024), pp. 9061\u20139072"},{"key":"23_CR3","doi-asserted-by":"crossref","unstructured":"Bao, L., Chen, X., Ren, J., Liu, Y., Qi, C.: Pgbert: Phonology and glyph enhanced pre-training for Chinese spelling correction. In: NLPCC, pp. 16\u201328 (2022)","DOI":"10.1007\/978-3-031-17120-8_2"},{"key":"23_CR4","unstructured":"Chen, Y., et al.: Longlora: Efficient fine-tuning of long-context large language models (2024)"},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Chi, Y., Giunchiglia, F., Li, C., Xu, H.: Ancient Chinese glyph identification powered by radical semantics. In: Findings of ACL, pp. 12065\u201312074 (2024)","DOI":"10.18653\/v1\/2024.findings-acl.718"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Cueva, E., Lopez\u00a0Monroy, A., S\u00e1nchez-Vega, F., Solorio, T.: Adaptive cross-lingual text classification through in-context one-shot demonstrations. In: Proceedings of NAACL, pp. 8317\u20138335 (2024)","DOI":"10.18653\/v1\/2024.naacl-long.460"},{"key":"23_CR7","unstructured":"DeepSeek-AI: Deepseek-v3 Technical Report (2025)"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Faisal, F., Anastasopoulos, A.: Data-augmentation-based dialectal adaptation for LLMs. In: Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024), pp. 197\u2013208 (2024)","DOI":"10.18653\/v1\/2024.vardial-1.17"},{"key":"23_CR9","unstructured":"Gould, R., Tanaka, H.: Continuous-time analysis of adaptive optimization and normalization (2024)"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: IEEE Conference on CVPR, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Held, W., Ziems, C., Yang, D.: TADA : Task agnostic dialect adapters for English. In: Findings of ACL, pp. 813\u2013824 (2023)","DOI":"10.18653\/v1\/2023.findings-acl.51"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Holmes, R., Rushe, E., Coster, M.D., Bonnaerens, M., Sugimoto, A., Ventresque, A.: From scarcity to understanding: Transfer learning for the extremely low resource irish sign language. ICCVW, pp. 2000\u20132009 (2023)","DOI":"10.1109\/ICCVW60793.2023.00215"},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Hu, Y., Meng, F., Zhou, J.: CSCD-NS: a Chinese spelling check dataset for native speakers. In: Proceedings of ACL, pp. 146\u2013159 (2024)","DOI":"10.18653\/v1\/2024.acl-long.10"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Hua, T., Yun, T., Pavlick, E.: mOthello: When do cross-lingual representation alignment and cross-lingual transfer emerge in multilingual models? In: Findings of NAACL 2024, pp. 1585\u20131598 (2024)","DOI":"10.18653\/v1\/2024.findings-naacl.103"},{"key":"23_CR15","unstructured":"Huang, L., et al.: PHMOSpell: Phonological and morphological knowledge guided Chinese spelling check. In: Proceedings of ACL, pp. 5958\u20135967 (2021)"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Jiang, J., et al.: Developing and utilizing a large-scale Cantonese dataset for multi-tasking in large language models (2025)","DOI":"10.18653\/v1\/2025.findings-emnlp.102"},{"key":"23_CR17","unstructured":"Lau, C.m., Lau, M., To, A.W.H.: The extraction and fine-grained classification of written Cantonese materials through linguistic feature detection. In: Proceedings of the 2nd Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia (EURALI) @ LREC-COLING 2024, pp. 24\u201329 (2024)"},{"key":"23_CR18","unstructured":"Lee, J., Fong, W., Le, A., Shah, S., Han, K., Zhu, K.: Pragmatic metacognitive prompting improves LLM performance on sarcasm detection. In: Proceedings of the 1st Workshop on Computational Humor (CHum), pp. 63\u201370 (2025)"},{"key":"23_CR19","doi-asserted-by":"crossref","unstructured":"Li, Y., et al.: Learning from the dictionary: Heterogeneous knowledge guided fine-tuning for Chinese spell checking. In: Findings of EMNLP, pp. 238\u2013249 (2022)","DOI":"10.18653\/v1\/2022.findings-emnlp.18"},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Liang, Z., Quan, X., Wang, Q.: Disentangled phonetic representation for Chinese spelling correction. In: Proceedings of ACL, pp. 13509\u201313521 (2023)","DOI":"10.18653\/v1\/2023.acl-long.755"},{"key":"23_CR21","unstructured":"Litschko, R., Kraus, O., Blaschke, V., Plank, B.: Cross-dialect information retrieval: Information access in low-resource and high-variance languages. In: Proceedings of ICCL, pp. 10158\u201310171 (2025)"},{"key":"23_CR22","unstructured":"Liu, E.K.Y.: Low-resource neural machine translation: a case study of Cantonese. In: Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects, pp. 28\u201340 (2022)"},{"key":"23_CR23","doi-asserted-by":"crossref","unstructured":"Liu, Y., Held, W., Yang, D.: DADA: Dialect adaptation via dynamic aggregation of linguistic rules. In: Proceedings of EMNLP, pp. 13776\u201313793 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.850"},{"key":"23_CR24","doi-asserted-by":"crossref","unstructured":"Liu, Y., Ye, H., Weissweiler, L., Pei, R., Schuetze, H.: Crosslingual transfer learning for low-resource languages based on multilingual colexification graphs. In: Findings of EMNLP 2023, pp. 8376\u20138401 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.562"},{"key":"23_CR25","doi-asserted-by":"crossref","unstructured":"Liu, Z., Lyn, J., Zhu, W., Tian, X., Graham, Y.: ALoRA: Allocating low-rank adaptation for fine-tuning large language models. In: Proceedings of NAACL, pp. 622\u2013641 (2024)","DOI":"10.18653\/v1\/2024.naacl-long.35"},{"key":"23_CR26","doi-asserted-by":"crossref","unstructured":"Lyu, B., Chen, L., Yu, K.: Glyph enhanced Chinese character pre-training for lexical Sememe prediction. In: Findings of EMNLP, pp. 4549\u20134555 (2021)","DOI":"10.18653\/v1\/2021.findings-emnlp.386"},{"key":"23_CR27","unstructured":"Meng, Y., et al.: Glyce: Glyph-vectors for Chinese character representations. Adv. Neural Inf. Process. Syst. 32 (2019)"},{"key":"23_CR28","unstructured":"Mu\u00f1oz-Ortiz, A., Blaschke, V., Plank, B.: Evaluating pixel language models on non-standardized languages. In: Proceedings of ICCL, pp. 6412\u20136419 (2025)"},{"key":"23_CR29","doi-asserted-by":"crossref","unstructured":"De\u00a0la Pe\u00f1a\u00a0Sarrac\u00e9n, G., Rosso, P., Litschko, R., Glava\u0161, G., Ponzetto, S.: Vicinal risk minimization for few-shot cross-lingual transfer in abusive language detection. In: Proceedings of EMNLP, pp. 4069\u20134085 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.248"},{"key":"23_CR30","doi-asserted-by":"crossref","unstructured":"Pham, T., Le, K., Luu, A.T.: UniBridge: A unified approach to cross-lingual transfer learning for low-resource languages. In: Proceedings of ACL, pp. 3168\u20133184 (2024)","DOI":"10.18653\/v1\/2024.acl-long.174"},{"key":"23_CR31","doi-asserted-by":"crossref","unstructured":"Sun, Z., et al.: ChineseBERT: Chinese pretraining enhanced by glyph and Pinyin information. In: Proceedings of ACL, pp. 2065\u20132075 (2021)","DOI":"10.18653\/v1\/2021.acl-long.161"},{"key":"23_CR32","doi-asserted-by":"crossref","unstructured":"Tang, K., et al.: Learning geometry-aware representations for new intent discovery. In: Proceedings of ACL, pp. 5641\u20135654 (2024)","DOI":"10.18653\/v1\/2024.acl-long.306"},{"key":"23_CR33","unstructured":"Team, A.Q.: Qwen2.5 Technical Report (2025)"},{"key":"23_CR34","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems (2017)"},{"key":"23_CR35","doi-asserted-by":"crossref","unstructured":"Wang, H., Minervini, P., Ponti, E.: Probing the emergence of cross-lingual alignment during LLM training. In: Findings of ACL, pp. 12159\u201312173 (2024)","DOI":"10.18653\/v1\/2024.findings-acl.724"},{"key":"23_CR36","doi-asserted-by":"crossref","unstructured":"Wu, H., Zhang, S., Zhang, Y., Zhao, H.: Rethinking masked language modeling for Chinese spelling correction. In: Proceedings of ACL, pp. 10743\u201310756 (2023)","DOI":"10.18653\/v1\/2023.acl-long.600"},{"key":"23_CR37","unstructured":"Xiang, R., Jiao, Y., Lu, Q.: Sentiment augmented attention network for cantonese restaurant review analysis. In: Proceedings of the 8th KDD Workshop on Issues of Sentiment Discovery and Opinion Mining(WISDOM), pp.\u00a01\u20139 (2019)"},{"key":"23_CR38","doi-asserted-by":"crossref","unstructured":"Xiang, R., Liao, M., Li, J.: Cantonese natural language processing in the transformers era. In: Proceedings of the 10th SIGHAN Workshop on Chinese Language Processing (SIGHAN-10), pp. 69\u201379 (2024)","DOI":"10.18653\/v1\/2024.sighan-1.8"},{"key":"23_CR39","doi-asserted-by":"crossref","unstructured":"Xiang, R., Tan, H., Li, J., Wan, M., Wong, K.F.: When Cantonese NLP meets pre-training: Progress and challenges. In: Proceedings of AACL-IJCNLP: Tutorial Abstracts, pp. 16\u201321 (2022)","DOI":"10.18653\/v1\/2022.aacl-tutorials.3"},{"key":"23_CR40","doi-asserted-by":"crossref","unstructured":"Xiao, Z., Held, W., Liu, Y., Yang, D.: Task-agnostic low-rank adapters for unseen English dialects. In: Proceedings of EMNLP, pp. 7857\u20137870 (2023)","DOI":"10.18653\/v1\/2023.emnlp-main.487"},{"key":"23_CR41","doi-asserted-by":"crossref","unstructured":"Xu, J., Zheng, C., Cai, Y., Chua, T.S.: Improving named entity recognition via bridge-based domain adaptation. In: Findings of ACL, pp. 3869\u20133882 (2023)","DOI":"10.18653\/v1\/2023.findings-acl.238"},{"key":"23_CR42","unstructured":"Zhuang, Z., Liu, M., Cutkosky, A., Orabona, F.: Understanding Adamw through proximal methods and scale-freeness (2022)"}],"container-title":["Lecture Notes in Computer Science","Natural Language Processing and Chinese Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-3349-7_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T08:50:07Z","timestamp":1763196607000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-3349-7_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,16]]},"ISBN":["9789819533480","9789819533497"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-3349-7_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,16]]},"assertion":[{"value":"16 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"NLPCC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"CCF International Conference on Natural Language Processing and Chinese Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 August 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"nlpcc2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tcci.ccf.org.cn\/conference\/2025\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}