Papers › The impact of lexical and grammatical processing on generating code from natural language
The impact of lexical and grammatical processing on generating code from natural language
Nathanaël Beau, Benoît Crabbé
Considering the seq2seq architecture of TranX for natural language to code translation, we identify four key components of importance: grammatical constraints, lexical preprocessing, input representations, and copy mechanisms. To study the impact of these components, we use a state-of-the-art architecture that relies on BERT encoder and a grammar-based decoder for which a formalization is provided. The paper highlights the importance of the lexical substitution component in the current natural language to code systems.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Code Generation | CoNaLa | TranX + BERT w/mined | BLEU | 34.2 | #4 of 14 | Archive leaderboard | report |
| Code Generation | CoNaLa | TranX + BERT w/mined | Exact Match Accuracy | 5.8 | #4 of 14 | Archive leaderboard | report |
| Code Generation | Django | TranX + BERT w/mined | Accuracy | 81.03 | #2 of 11 | Archive leaderboard | report |
| Code Generation | Django | TranX + BERT w/mined | BLEU Score | 79.86 | #2 of 11 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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