Skip to content

Commit ae5d010

Browse files
authored
Update CONTRIBUTING.md
1 parent 836e7f1 commit ae5d010

File tree

1 file changed

+1
-1
lines changed

1 file changed

+1
-1
lines changed

CONTRIBUTING.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -156,5 +156,5 @@ Thanks to all [contributors](https://github.com/PyThaiNLP/pythainlp/graphs/contr
156156
- **[MetaSound]** -- Snae & Brückner. (2009). Novel Phonetic Name Matching Algorithm with a Statistical Ontology for Analysing Names Given in Accordance with Thai Astrology. Retrieved from https://pdfs.semanticscholar.org/3983/963e87ddc6dfdbb291099aa3927a0e3e4ea6.pdf
157157
- **[Thai Character Cluster]** -- T. Teeramunkong, V. Sornlertlamvanich, T. Tanhermhong and W. Chinnan, “Character cluster based Thai information retrieval,” in IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages, 2000.
158158
- **[Enhanced Thai Character Cluster]** -- Jeeragone Inrut, Patiroop Yuanghirun, Sarayut Paludkong, Supot Nitsuwat, and Para Limmaneepraserth. “Thai word segmentation using combination of forward and backward longest matching techniques.” In International Symposium on Communications and Information Technology (ISCIT), pp. 37-40. 2001.
159-
- เพ็ญศิริ ลี้ตระกูล. การเลือกประโยคสำคัญในการสรุปความภาษาไทย โดยใช้แบบจำลองแบบลำดับชั้น (Selection of Important Sentences in Thai Text Summarization Using a Hierarchical Model). Retrieved from http://digi.library.tu.ac.th/thesis/st/0192/
159+
- เพ็ญศิริ ลี้ตระกูล. การเลือกประโยคสำคัญในการสรุปความภาษาไทย โดยใช้แบบจำลองแบบลำดับชั้น (Selection of Important Sentences in Thai Text Summarization Using a Hierarchical Model). Retrieved from [http://digi.library.tu.ac.th/thesis/st/0192/](https://digital.library.tu.ac.th/tu_dc/frontend/Info/item/dc:124897)
160160
- **[Thai Discourse Treebank]** -- Ponrawee Prasertsom, Apiwat Jaroonpol, Attapol T. Rutherford; The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives. Transactions of the Association for Computational Linguistics 2024; 12 613–629. doi: https://doi.org/10.1162/tacl_a_00650

0 commit comments

Comments
 (0)