---

In Korean, spaces are very important to improve the readability of the sentence and to convey the meaning of the sentence accurately. Automatic word-separation system The system restores the line boundaries of a document recognized by the character recognition engine, the preprocessor of Stemmer, which is the most basic application system of natural language processing. An important role as a post-processor, a post-processor that correctly divides continuous syllable sentences generated from speech recognition, and a spell checker module.

[HT.V0.1.2]Morphological analysis technology Demo

---

[HT.V0.1.3]Korean Morphological Analyzer Demo

---

[HT.V0.1.4]Named Entity Recognition Demo

---

[HT.V0.1.5]Automatic character classification technology Demo

---

[HT.V0.1.6]Character-Level Presentation Technology with Bag of Characters

---

[HT.V0.1.7]bilingual word Embedding with parallel coppers Demo

---

[HT.V0.1.8]Parsing Dependent on Korean Language Using Stack-Pointer Network Demo

---

[HT.V0.1.9]Dependency Parser Demo

---

[HT.V0.1.10]Transition Learning Model to Overcome Small Data Limits

---

[HT.V0.1.11]Statistical-Based Korean News Emotional Analysis Demo

---

[HT.V0.1.12]Cross-Validation Ensemble Technique in Natural Language Inference

---

[HT.V0.1.13]Metonymy solution using deep learning method

---

[HT.V0.1.14]Denoising Transformer-Based Korean Spelling Correctional Technique Demo

---

[HT.V0.1.15]Resolving word meaning ambiguity using knowledge embedding deep learning

---

[HT.V0.1.16]Cross modal embedding based on Attentive Aggregation

---

[HT.V0.1.17]Multidimensional sentiment analysis service using short text data

---

[HT.V0.1.18]Deep learning writing service and application service

---