TY - GEN
T1 - Bridging FLEx and Computational Linguistics
T2 - 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2025
AU - Limpisiri, Tanintorn
AU - Leenoi, Dhanon
AU - Panutatpinyo, Ravipas
AU - Chongkolrattanapond, Paparn
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - FieldWorks Language Explorer (FLEx) is widely used for documenting under-resourced languages, but its XML based formats (SFM, LIFT) hinder integration with computational workflows that rely on tabular data. This paper introduces a web-based system for near-lossless, bidirectional conversion between FLEx formats and CSV/Excel. The tool provides configurable field mapping, validation diagnostics, and support for media references, enabling linguists to edit data in familiar tabular form and reimport it into FLEx with minimal technical overhead. Evaluation across five Thai lexical resources (110k+ entries) demonstrates consistent structural fidelity, efficient conversion, and successful preservation of media references. A user study with ten participants highlights strong usability and reliability, though challenges remain in handling complex LIFT structures, restricted audio integration, and large-scale corpora. By lowering barriers for non-specialist users and aligning with FAIR data principles, this work establishes a practical pathway for integrating FLEx resources into broader NLP pipelines.
AB - FieldWorks Language Explorer (FLEx) is widely used for documenting under-resourced languages, but its XML based formats (SFM, LIFT) hinder integration with computational workflows that rely on tabular data. This paper introduces a web-based system for near-lossless, bidirectional conversion between FLEx formats and CSV/Excel. The tool provides configurable field mapping, validation diagnostics, and support for media references, enabling linguists to edit data in familiar tabular form and reimport it into FLEx with minimal technical overhead. Evaluation across five Thai lexical resources (110k+ entries) demonstrates consistent structural fidelity, efficient conversion, and successful preservation of media references. A user study with ten participants highlights strong usability and reliability, though challenges remain in handling complex LIFT structures, restricted audio integration, and large-scale corpora. By lowering barriers for non-specialist users and aligning with FAIR data principles, this work establishes a practical pathway for integrating FLEx resources into broader NLP pipelines.
KW - CSV/Excel conversion
KW - FieldWorks Language Explorer (FLEx)
KW - Lexicography
KW - Lexicon Interchange Format (LIFT)
KW - Linguistic data interoperability
KW - Standard Format Marker (SFM)
UR - https://www.scopus.com/pages/publications/105032727431
U2 - 10.1109/iSAI-NLP66160.2025.11320696
DO - 10.1109/iSAI-NLP66160.2025.11320696
M3 - Conference contribution
AN - SCOPUS:105032727431
T3 - 2025 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2025
BT - 2025 20th International Joint Symposium on Artificial Intelligence and Natural Language Processing, iSAI-NLP 2025
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 November 2025 through 14 November 2025
ER -