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We use Kaldi decoder to implement TLG based language model integration,so we copied related files to this directory.The main changes are:
1. To minimize the change, we use the same directories tree as Kaldi.
2. We replace Kaldi log system with glog in the following way.
``` c++#define KALDI_WARN \
google::LogMessage(__FILE__, __LINE__, google::GLOG_WARNING).stream()#define KALDI_ERR \
google::LogMessage(__FILE__, __LINE__, google::GLOG_ERROR).stream()#define KALDI_INFO \
google::LogMessage(__FILE__, __LINE__, google::GLOG_INFO).stream()#define KALDI_VLOG(v) VLOG(v)
#define KALDI_ASSERT(condition) CHECK(condition)
```
3. We lint all the files to satisfy the lint in WeNet.
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