Conference paper Open Access
Machine Translation as an Alternative to Language-Specific Dictionaries for LIWC
Yuying Ye; Peter Boot
This research presents an alternative approach for applying the text analysis program, Linguistic Inquiry and Word Count (LIWC) to non-English text: using machine translation (MT) to translate the text into English and then apply the English LIWC dictionary, rather than applying a translated LIWC dictionary to the original texts. We evaluate the alternative method using the output from two open-source MT systems and Google Translation on a set of TED Talk subtitle data. The method is tested on three language pairs: Dutch-English, German-English and Spanish-English. Provisionally, MT seems to lead to better results in the three language pairs than language-specific dictionaries.
| Name | Size | |
|---|---|---|
|
Machine Translation as an Alternative to Language-Specific Dictionaries for LIWC.pdf
md5:70aabb0e9974239d157d30397f467bca |
377.4 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 99 | 99 |
| Downloads | 105 | 105 |
| Data volume | 39.6 MB | 39.6 MB |
| Unique views | 83 | 83 |
| Unique downloads | 97 | 97 |
- Publication date:
- June 3, 2020
- DOI:
-
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International