Papers by Farhan Samir
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language (2024.naacl-long)
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| Challenge: | a recent study shows that multilingual speech processing systems can generalize to unseen languages without adaptation. |
| Approach: | They propose a phoneme-based phoneme embedding model that can be generalized to unseen languages by using a neural forced aligner. |
| Outcome: | The proposed model can generalize to unseen languages without adaptation. |
ZIPA: A family of efficient models for multilingual phone recognition (2025.acl-long)
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| Challenge: | IPA transcriptions capture major articulatory contrasts in speech sounds, including the voicing status, place of articulation, manner of voicing, and tongue positions. |
| Approach: | They present ZIPA, a family of efficient speech models that advances the state-of-the-art performance of crosslinguistic phone recognition. |
| Outcome: | The proposed model outperforms existing phone recognition systems on 17,000+ hours of normalized phone transcriptions and a novel evaluation set capturing unseen languages and sociophonetic variation. |
Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection (2023.emnlp-main)
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| Challenge: | a data augmentation technique that generates synthetic examples by randomly substituting stem characters in existing training examples is still poorly understood. |
| Approach: | They propose a data augmentation strategy that generates synthetic examples by randomly substituting stem characters in existing training examples. |
| Outcome: | The proposed method generates synthetic examples by randomly substituting stem characters in existing training examples. |
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia (2024.emnlp-main)
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| Challenge: | a recent study focuses on comparative text analyses to explain social phenomena and identify systematic biases. |
| Approach: | They evaluate InfoGap method to locate information gaps and inconsistencies in articles at the fact level, across languages. |
| Outcome: | The method identifies discrepancies in factual coverage across languages and biographical facts carrying negative connotations are more likely to be highlighted in Russian Wikipedia. |
Dim Wihl Gat Tun: The Case for Linguistic Expertise in NLP for Under-Documented Languages (2022.findings-acl)
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Clarissa Forbes, Farhan Samir, Bruce Oliver, Changbing Yang, Edith Coates, Garrett Nicolai, Miikka Silfverberg
| Challenge: | Recent progress in NLP is driven by pretrained models leveraging massive datasets. |
| Approach: | They argue that IGT data can be leveraged provided target language expertise is available and that it can be used to create effective models. |
| Outcome: | The proposed model can be leveraged provided that target language expertise is available. |
An Inflectional Database for Gitksan (2022.lrec-1)
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Bruce Oliver, Clarissa Forbes, Changbing Yang, Farhan Samir, Edith Coates, Garrett Nicolai, Miikka Silfverberg
| Challenge: | In this paper, we build a database of partial inflection tables for Gitksan, a low-resource Indigenous language of Canada. |
| Approach: | They use Gitksan data in interlinear glossed format to build a database of partial inflection tables and enrich it with neural transformer reinflection models. |
| Outcome: | The proposed model improves the performance of the experimental data hallucination and back-translation techniques. |
A Formidable Ability: Detecting Adjectival Extremeness with DSMs (2021.findings-acl)
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| Challenge: | Existing studies on distributional semantic models capture abstract semantic properties across domains . abstract properties can form the basis for abstract semantic classes . |
| Approach: | They propose to use distributional semantic models to capture cross-domain properties . they use extremeness to model emergence of intensifier meaning in adverbs . |
| Outcome: | The proposed model can capture extremeness and intensifier meaning in adverbs. |
Quantifying Cognitive Factors in Lexical Decline (2021.tacl-1)
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| Challenge: | Existing studies on lexical decline suggest that cognitive and linguistic factors play a role in the survival of words and their success in the linguistic ecosystem. |
| Approach: | They propose a variety of psycholinguistic factors that are predictive of lexical decline, in which words greatly decrease in frequency over time. |
| Outcome: | The proposed factors show significant differences in the expected direction between each curated set of declining words and their matched stable words. |