Building a List of Synonymous Words and Phrases of Japanese Compound Verbs (L18-1)
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| Challenge: | Japanese is rich in compound verbs consisting of two verbs joined together. |
| Approach: | They built a database of Japanese "Verb + Verb" compounds semi-automatically . they extracted Japanese compound verbs from corpus and found suitable clusters . |
| Outcome: | The proposed database extracts synonymous expressions of Japanese compound verbs from corpus . it then links the results to the "Compound Verb Lexicon" |
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| Challenge: | Existing work on Japanese multiword expressions has focused on detecting idiomatic usages in context, leaving literal readings underrepresented. |
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| Challenge: | a study has found that simple Japanese is more accessible to foreigners than English. |
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| Challenge: | Experimental results show that the proposed method achieves the highest performance of Japanese lexical simplification. |
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| Challenge: | evaluating distributed word representations in languages that do not have such resources is difficult . et al., 2015: distributed word represent a sparse vector indicating the word itself or the context of the word. |
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| Challenge: | a new lexical resource called CzEngClass is being built to help define synonyms in a bilingual context. |
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Hanae Koiso, Yasuharu Den, Yuriko Iseki, Wakako Kashino, Yoshiko Kawabata, Ken’ya Nishikawa, Yayoi Tanaka, Yasuyuki Usuda
| Challenge: | a new corpus of everyday conversations is being developed in the field of everyday conversation . the corpus is based on 94 hours of recordings of everyday Japanese conversations . |
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Transactions of the Association for Computational Linguistics, Volume 8 (2020.tacl-1)
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| Challenge: | null |
| Approach: | null |
| Outcome: | null |
A Japanese Word Segmentation Proposal (P19-2)
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| Challenge: | Current word segmentation methods may produce different segmentations for the same strings . this occurs when strings appear in different sentences . |
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| Challenge: | a mixed corpus composed of different dialects is sufficiently resourced to cluster them into dialects. |
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