Jul 2026· International Journal of Learner Corpus Research· 0 citations· 35 references
TL;DR
The efficiency metrics showed the tool to be effective in accurately identifying the target suffixes across proficiency levels, with a significant reduction in time and effort.
Abstract
This report presents the preliminary evaluation of
Morph
, a web-based tool for the automatic counting of 51 English noun derivational suffixes in a controlled corpus of Mexican learners of English with proficiency levels from A2 to C1 on the Common European Framework of Reference for Languages (CEFR) scale. The evaluation consisted of a quantitative analysis of agreement between human annotators and
Morph
, a qualitative analysis to obtain the sources of disagreement, and finally, the evaluation of the tool’s efficiency using precision, recall, and F1 score metrics. Results displayed a high level of agreement between the human annotators and
Morph
. The main sources of disagreement were found to be human errors, learner misspellings, and automatic tagger issues. Finally, the efficiency metrics showed the tool to be effective in accurately identifying the target suffixes across proficiency levels, with a significant reduction in time and effort.
We present CzeLeD, a large-scale lexical decision dataset for Czech containing 12,242 lemmas and inflected word forms derived from the HeCz self-paced reading corpus and supplemented with pseudowords. A total of 1,977 participants contributed over 849,000 trials, accompanied by demographic data and extensive linguist...
J. Chromý, Markéta Ceháková, Mikuláš Preininger et al.· Scientific Data· 0 citations
This paper uses morphological feature annotations from the Universal Dependencies corpora to quantify information carried by morphology across 154 different datasets spanning 72 language varieties, and proposes an information-theoretic approach that measures how surprising morphological feature values are given a token...
Hedvig Skirgård, S. Mann· Linguistics Vanguard· 1 citation
In this paper, we draw a comparison between linguists in training, a trained linguist, and annotations generated by large language models (LLMs) to find out if they struggle with complex linguistic phenomena in a similar way. For this purpose, we analyse evaluative language in spoken popular science discourse, with the...
Acquiring L2 prepositions is a complex process, as bilinguals often find it difficult to use the correct preposition in a target language such as English. While frequency of prepositions and prepositional phrases can help this acquisition process, additional factors such as L1 influence also play an important role. Fur...
Enis Oğuz· Cankaya University journal o...· 0 citations
A narrative review compares contemporary Latin Natural Language Processing tools and their use cases for pedagogical applications and concludes that an integrated, multi-tool approach is most effective for supporting Latin pedagogy.
Aidan Han· American Journal of Student...· 0 citations
This work introduces PERCEPT, the first publicly available large-scale Persian-English code-mixed corpus annotated with Universal Dependencies POS tags for code-mixed words, and conducts the first comprehensive linguistic analysis of Persian-English code-mixing across multiple social media platforms.
Ghazal Kalhor, Zahra Jafari, Amirarsalan Shahbazi et al.· 0 citations
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