Name
Abstract | ||
|---|---|---|
This paper presents an overview of the broad-coverage, application-independent natural language generation component of the NLP system being developed at Microsoft Research. It demonstrates how this component functions within a multilingual Machine Translation system (MSR-MT), using the languages that we are currently working on (English, Spanish, Japanese, and Chinese). Section 1 provides a system description of MSR-MT. Section 2 focuses on the generation component and its set of core rules. Section 3 describes an additional layer of generation rules with examples that address issues specific to MT. Section 4 presents evaluation results in the context of MSR-MT. Section 5 addresses generation issues outside of MT. |
Year | Venue | Keywords |
|---|---|---|
2001 | MTSummit | transfer,application-independence,natural language generation,robustness,multilingual mt system |
DocType | Citations | PageRank |
Conference | 1 | 0.43 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takako Aikawa | 1 | 56 | 7.51 |
| Maite Melero | 2 | 22 | 9.29 |
| Lee Schwartz | 3 | 28 | 3.79 |
| Andi Wu | 4 | 188 | 19.68 |