Papers by Chihiro Taguchi
Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs (2026.findings-acl)
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| Challenge: | 'ConLang' is a term used to describe any artificially created language intended to be as expressive as naturally evolved human languages. |
| Approach: | They propose to use large language models to create a modular system that uses LLMs as a tool in the development of Constructed Languages. |
| Outcome: | The proposed system creates phonology, morphology and syntax, lexicon, orthography, and grammatical handbook using module-specific sets of prompts. |
Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark (2025.emnlp-main)
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Chihiro Taguchi, Seng Mai, Keita Kurabe, Yusuke Sakai, Georgina Agyei, Soudabeh Eslami, David Chiang
| Challenge: | Multilingual machine translation (MT) benchmarks are widely used to evaluate the capabilities of modern MT systems. |
| Approach: | They propose to use a multilingual machine translation benchmark to assess the capabilities of modern machine translation systems. |
| Outcome: | The FLORES+ benchmark claims to maintain a translation quality score of over 90% . however, the data in four languages falls short of the 90% quality standard . |
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive‐k (2025.emnlp-main)
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| Challenge: | Existing adaptive methods struggle with aggregation QA where optimal external context is unknown and variable. |
| Approach: | They propose a single-pass method that selects a query-specific number of passages . Adaptivek retrieval matches or outperforms fixedk baselines while using 10x fewer tokens compared to full-context input . |
| Outcome: | Adaptivek retrieval matches or outperforms fixedk baselines on factoid and aggregation QA benchmarks . it uses 10x fewer tokens than full-context input and still retrieves 70% of relevant passages compared to previous methods . |
Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information (2024.lrec-main)
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| Challenge: | Existing datasets for automatic speech recognition (ASR) in the endangered Kichwa language have been limited. |
| Approach: | They present Killkan, the first dataset for automatic speech recognition (ASR) in the Kichwa language, an indigenous language of Ecuador. |
| Outcome: | The proposed dataset shows that it can be used to build an automatic speech recognition system for the endangered language with reliable quality despite its small size. |
J-SNACS: Adposition and Case Supersenses for Japanese Joshi (2024.lrec-main)
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| Challenge: | adpositions are used to mark a variety of semantic relations in languages such as English and Korean. |
| Approach: | They propose a Japanese extension of the SNACS framework for annotating adpositions in corpora from several languages. |
| Outcome: | The proposed framework captures similarities not seen in multilingual embedding space. |