How to make money in the translation business.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 321, doi. 10.1017/S1351324916000012
- By:
- Publication type:
- Article
Works matching IS 13513249 AND DT 2016 AND VI 22 AND IP 2
Results: 8
1
2
Non-native text analysis: A survey.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 163, doi. 10.1017/S1351324915000303
- By:
- Publication type:
- Article
3
NLE volume 22 issue 2 Cover and Back matter.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. b1, doi. 10.1017/S1351324915000479
- Publication type:
- Article
4
NLE volume 22 issue 2 Cover and Front matter.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. f1, doi. 10.1017/S1351324915000467
- Publication type:
- Article
5
Influence of personal choices on lexical variability in referring expressions.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 257, doi. 10.1017/S1351324915000182
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- Publication type:
- Article
6
A statistical model for grammar mapping.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 215, doi. 10.1017/S1351324915000017
- By:
- Publication type:
- Article
7
SCESS: a WFSA-based automated simplified chinese essay scoring system with incremental latent semantic analysis.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 291, doi. 10.1017/S1351324914000138
- By:
- Publication type:
- Article
8
MaltOptimizer: Fast and effective parser optimization.
- Published in:
- Natural Language Engineering, 2016, v. 22, n. 2, p. 187, doi. 10.1017/S1351324914000035
- By:
- Publication type:
- Article